From 0657e7df1d93b2840a869d23a033d6c1913dc5a3 Mon Sep 17 00:00:00 2001 From: LukasMasuch Date: Thu, 9 Jan 2025 15:18:48 +0000 Subject: [PATCH] Update best-of list for version 2025.01.09 --- README.md | 2554 ++++++++++++++++--------------- history/2025-01-09_changes.md | 30 + history/2025-01-09_projects.csv | 921 +++++++++++ latest-changes.md | 40 +- 4 files changed, 2259 insertions(+), 1286 deletions(-) create mode 100644 history/2025-01-09_changes.md create mode 100644 history/2025-01-09_projects.csv diff --git a/README.md b/README.md index 0054d1f..d383766 100644 --- a/README.md +++ b/README.md @@ -17,7 +17,7 @@

-This curated list contains 920 awesome open-source projects with a total of 4.7M stars grouped into 34 categories. All projects are ranked by a project-quality score, which is calculated based on various metrics automatically collected from GitHub and different package managers. If you like to add or update projects, feel free to open an [issue](https://github.com/ml-tooling/best-of-ml-python/issues/new/choose), submit a [pull request](https://github.com/ml-tooling/best-of-ml-python/pulls), or directly edit the [projects.yaml](https://github.com/ml-tooling/best-of-ml-python/edit/main/projects.yaml). Contributions are very welcome! +This curated list contains 920 awesome open-source projects with a total of 4.8M stars grouped into 34 categories. All projects are ranked by a project-quality score, which is calculated based on various metrics automatically collected from GitHub and different package managers. If you like to add or update projects, feel free to open an [issue](https://github.com/ml-tooling/best-of-ml-python/issues/new/choose), submit a [pull request](https://github.com/ml-tooling/best-of-ml-python/pulls), or directly edit the [projects.yaml](https://github.com/ml-tooling/best-of-ml-python/edit/main/projects.yaml). Contributions are very welcome! --- @@ -101,12 +101,12 @@ _General-purpose machine learning and deep learning frameworks._
Tensorflow (πŸ₯‡55 Β· ⭐ 190K) - An Open Source Machine Learning Framework for Everyone. Apache-2 -- [GitHub](https://github.com/tensorflow/tensorflow) (πŸ‘¨β€πŸ’» 4.7K Β· πŸ”€ 74K Β· πŸ“¦ 450K Β· πŸ“‹ 46K - 13% open Β· ⏱️ 02.01.2025): +- [GitHub](https://github.com/tensorflow/tensorflow) (πŸ‘¨β€πŸ’» 4.8K Β· πŸ”€ 74K Β· πŸ“¦ 450K Β· πŸ“‹ 46K - 14% open Β· ⏱️ 09.01.2025): ``` git clone https://github.com/tensorflow/tensorflow ``` -- [PyPi](https://pypi.org/project/tensorflow) (πŸ“₯ 22M / month Β· πŸ“¦ 8.1K Β· ⏱️ 25.10.2024): +- [PyPi](https://pypi.org/project/tensorflow) (πŸ“₯ 19M / month Β· πŸ“¦ 8.1K Β· ⏱️ 25.10.2024): ``` pip install tensorflow ``` @@ -114,19 +114,19 @@ _General-purpose machine learning and deep learning frameworks._ ``` conda install -c conda-forge tensorflow ``` -- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (πŸ“₯ 79M Β· ⭐ 2.6K Β· ⏱️ 16.12.2024): +- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (πŸ“₯ 79M Β· ⭐ 2.7K Β· ⏱️ 09.01.2025): ``` docker pull tensorflow/tensorflow ```
-
PyTorch (πŸ₯‡55 Β· ⭐ 85K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 +
PyTorch (πŸ₯‡55 Β· ⭐ 86K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 -- [GitHub](https://github.com/pytorch/pytorch) (πŸ‘¨β€πŸ’» 5.3K Β· πŸ”€ 23K Β· πŸ“₯ 70K Β· πŸ“¦ 610K Β· πŸ“‹ 49K - 31% open Β· ⏱️ 02.01.2025): +- [GitHub](https://github.com/pytorch/pytorch) (πŸ‘¨β€πŸ’» 5.4K Β· πŸ”€ 23K Β· πŸ“₯ 71K Β· πŸ“¦ 610K Β· πŸ“‹ 49K - 31% open Β· ⏱️ 09.01.2025): ``` git clone https://github.com/pytorch/pytorch ``` -- [PyPi](https://pypi.org/project/torch) (πŸ“₯ 30M / month Β· πŸ“¦ 20K Β· ⏱️ 29.10.2024): +- [PyPi](https://pypi.org/project/torch) (πŸ“₯ 29M / month Β· πŸ“¦ 20K Β· ⏱️ 29.10.2024): ``` pip install torch ``` @@ -137,12 +137,12 @@ _General-purpose machine learning and deep learning frameworks._
scikit-learn (πŸ₯‡53 Β· ⭐ 61K) - scikit-learn: machine learning in Python. BSD-3 -- [GitHub](https://github.com/scikit-learn/scikit-learn) (πŸ‘¨β€πŸ’» 3.2K Β· πŸ”€ 25K Β· πŸ“₯ 1K Β· πŸ“¦ 1M Β· πŸ“‹ 12K - 17% open Β· ⏱️ 02.01.2025): +- [GitHub](https://github.com/scikit-learn/scikit-learn) (πŸ‘¨β€πŸ’» 3.2K Β· πŸ”€ 25K Β· πŸ“₯ 1K Β· πŸ“¦ 1M Β· πŸ“‹ 12K - 17% open Β· ⏱️ 09.01.2025): ``` git clone https://github.com/scikit-learn/scikit-learn ``` -- [PyPi](https://pypi.org/project/scikit-learn) (πŸ“₯ 73M / month Β· πŸ“¦ 26K Β· ⏱️ 09.12.2024): +- [PyPi](https://pypi.org/project/scikit-learn) (πŸ“₯ 72M / month Β· πŸ“¦ 26K Β· ⏱️ 09.12.2024): ``` pip install scikit-learn ``` @@ -153,12 +153,12 @@ _General-purpose machine learning and deep learning frameworks._
Keras (πŸ₯‡48 Β· ⭐ 62K) - Deep Learning for humans. Apache-2 -- [GitHub](https://github.com/keras-team/keras) (πŸ‘¨β€πŸ’» 1.4K Β· πŸ”€ 19K Β· πŸ“‹ 12K - 2% open Β· ⏱️ 02.01.2025): +- [GitHub](https://github.com/keras-team/keras) (πŸ‘¨β€πŸ’» 1.4K Β· πŸ”€ 19K Β· πŸ“‹ 12K - 2% open Β· ⏱️ 08.01.2025): ``` git clone https://github.com/keras-team/keras ``` -- [PyPi](https://pypi.org/project/keras) (πŸ“₯ 13M / month Β· πŸ“¦ 1.7K Β· ⏱️ 26.11.2024): +- [PyPi](https://pypi.org/project/keras) (πŸ“₯ 13M / month Β· πŸ“¦ 1.7K Β· ⏱️ 07.01.2025): ``` pip install keras ``` @@ -169,7 +169,7 @@ _General-purpose machine learning and deep learning frameworks._
jax (πŸ₯‡46 Β· ⭐ 31K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2 -- [GitHub](https://github.com/jax-ml/jax) (πŸ‘¨β€πŸ’» 810 Β· πŸ”€ 2.8K Β· πŸ“¦ 35K Β· πŸ“‹ 5.8K - 25% open Β· ⏱️ 02.01.2025): +- [GitHub](https://github.com/jax-ml/jax) (πŸ‘¨β€πŸ’» 810 Β· πŸ”€ 2.8K Β· πŸ“¦ 35K Β· πŸ“‹ 5.8K - 25% open Β· ⏱️ 09.01.2025): ``` git clone https://github.com/google/jax @@ -178,19 +178,19 @@ _General-purpose machine learning and deep learning frameworks._ ``` pip install jax ``` -- [Conda](https://anaconda.org/conda-forge/jaxlib) (πŸ“₯ 2M Β· ⏱️ 12.12.2024): +- [Conda](https://anaconda.org/conda-forge/jaxlib) (πŸ“₯ 2M Β· ⏱️ 06.01.2025): ``` conda install -c conda-forge jaxlib ```
-
XGBoost (πŸ₯‡46 Β· ⭐ 26K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2 +
XGBoost (πŸ₯‡45 Β· ⭐ 26K Β· πŸ“‰) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT.. Apache-2 -- [GitHub](https://github.com/dmlc/xgboost) (πŸ‘¨β€πŸ’» 660 Β· πŸ”€ 8.7K Β· πŸ“₯ 13K Β· πŸ“¦ 120K Β· πŸ“‹ 5.4K - 8% open Β· ⏱️ 02.01.2025): +- [GitHub](https://github.com/dmlc/xgboost) (πŸ‘¨β€πŸ’» 660 Β· πŸ”€ 8.7K Β· πŸ“₯ 13K Β· πŸ“¦ 120K Β· πŸ“‹ 5.4K - 8% open Β· ⏱️ 07.01.2025): ``` git clone https://github.com/dmlc/xgboost ``` -- [PyPi](https://pypi.org/project/xgboost) (πŸ“₯ 24M / month Β· πŸ“¦ 2.1K Β· ⏱️ 26.11.2024): +- [PyPi](https://pypi.org/project/xgboost) (πŸ“₯ 23M / month Β· πŸ“¦ 2.1K Β· ⏱️ 26.11.2024): ``` pip install xgboost ``` @@ -201,19 +201,19 @@ _General-purpose machine learning and deep learning frameworks._
PaddlePaddle (πŸ₯‡45 Β· ⭐ 22K) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/Paddle) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 5.6K Β· πŸ“₯ 15K Β· πŸ“¦ 6.7K Β· πŸ“‹ 19K - 9% open Β· ⏱️ 02.01.2025): +- [GitHub](https://github.com/PaddlePaddle/Paddle) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 5.6K Β· πŸ“₯ 15K Β· πŸ“¦ 6.7K Β· πŸ“‹ 19K - 9% open Β· ⏱️ 09.01.2025): ``` git clone https://github.com/PaddlePaddle/Paddle ``` -- [PyPi](https://pypi.org/project/paddlepaddle) (πŸ“₯ 320K / month Β· πŸ“¦ 190 Β· ⏱️ 01.11.2024): +- [PyPi](https://pypi.org/project/paddlepaddle) (πŸ“₯ 310K / month Β· πŸ“¦ 210 Β· ⏱️ 09.01.2025): ``` pip install paddlepaddle ```
StatsModels (πŸ₯‡45 Β· ⭐ 10K) - Statsmodels: statistical modeling and econometrics in Python. BSD-3 -- [GitHub](https://github.com/statsmodels/statsmodels) (πŸ‘¨β€πŸ’» 450 Β· πŸ”€ 3.1K Β· πŸ“₯ 35 Β· πŸ“¦ 150K Β· πŸ“‹ 5.7K - 50% open Β· ⏱️ 02.01.2025): +- [GitHub](https://github.com/statsmodels/statsmodels) (πŸ‘¨β€πŸ’» 450 Β· πŸ”€ 3.1K Β· πŸ“₯ 35 Β· πŸ“¦ 150K Β· πŸ“‹ 5.7K - 50% open Β· ⏱️ 07.01.2025): ``` git clone https://github.com/statsmodels/statsmodels @@ -222,14 +222,14 @@ _General-purpose machine learning and deep learning frameworks._ ``` pip install statsmodels ``` -- [Conda](https://anaconda.org/conda-forge/statsmodels) (πŸ“₯ 16M Β· ⏱️ 03.10.2024): +- [Conda](https://anaconda.org/conda-forge/statsmodels) (πŸ“₯ 17M Β· ⏱️ 03.10.2024): ``` conda install -c conda-forge statsmodels ```
PySpark (πŸ₯ˆ44 Β· ⭐ 40K) - Apache Spark Python API. Apache-2 -- [GitHub](https://github.com/apache/spark) (πŸ‘¨β€πŸ’» 3.2K Β· πŸ”€ 28K Β· ⏱️ 02.01.2025): +- [GitHub](https://github.com/apache/spark) (πŸ‘¨β€πŸ’» 3.2K Β· πŸ”€ 28K Β· ⏱️ 09.01.2025): ``` git clone https://github.com/apache/spark @@ -245,7 +245,7 @@ _General-purpose machine learning and deep learning frameworks._
pytorch-lightning (πŸ₯ˆ43 Β· ⭐ 29K) - Pretrain, finetune ANY AI model of ANY size on.. Apache-2 -- [GitHub](https://github.com/Lightning-AI/pytorch-lightning) (πŸ‘¨β€πŸ’» 990 Β· πŸ”€ 3.4K Β· πŸ“₯ 11K Β· πŸ“¦ 40K Β· πŸ“‹ 7.2K - 11% open Β· ⏱️ 21.12.2024): +- [GitHub](https://github.com/Lightning-AI/pytorch-lightning) (πŸ‘¨β€πŸ’» 990 Β· πŸ”€ 3.4K Β· πŸ“₯ 11K Β· πŸ“¦ 41K Β· πŸ“‹ 7.2K - 11% open Β· ⏱️ 09.01.2025): ``` git clone https://github.com/Lightning-AI/lightning @@ -259,14 +259,14 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge pytorch-lightning ```
-
LightGBM (πŸ₯ˆ42 Β· ⭐ 17K Β· πŸ“‰) - A fast, distributed, high performance gradient boosting (GBT, GBDT,.. MIT +
LightGBM (πŸ₯ˆ42 Β· ⭐ 17K) - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,.. MIT -- [GitHub](https://github.com/microsoft/LightGBM) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 3.8K Β· πŸ“₯ 260K Β· πŸ“¦ 42K Β· πŸ“‹ 3.5K - 10% open Β· ⏱️ 02.01.2025): +- [GitHub](https://github.com/microsoft/LightGBM) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 3.8K Β· πŸ“₯ 280K Β· πŸ“¦ 43K Β· πŸ“‹ 3.5K - 11% open Β· ⏱️ 03.01.2025): ``` git clone https://github.com/microsoft/LightGBM ``` -- [PyPi](https://pypi.org/project/lightgbm) (πŸ“₯ 8.9M / month Β· πŸ“¦ 1.1K Β· ⏱️ 26.07.2024): +- [PyPi](https://pypi.org/project/lightgbm) (πŸ“₯ 8.4M / month Β· πŸ“¦ 1.1K Β· ⏱️ 26.07.2024): ``` pip install lightgbm ``` @@ -275,9 +275,9 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge lightgbm ```
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Catboost (πŸ₯ˆ41 Β· ⭐ 8.2K Β· πŸ“‰) - A fast, scalable, high performance Gradient Boosting on.. Apache-2 +
Catboost (πŸ₯ˆ41 Β· ⭐ 8.2K) - A fast, scalable, high performance Gradient Boosting on Decision.. Apache-2 -- [GitHub](https://github.com/catboost/catboost) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 1.2K Β· πŸ“₯ 340K Β· πŸ“¦ 16 Β· πŸ“‹ 2.4K - 24% open Β· ⏱️ 31.12.2024): +- [GitHub](https://github.com/catboost/catboost) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 1.2K Β· πŸ“₯ 340K Β· πŸ“¦ 16 Β· πŸ“‹ 2.4K - 24% open Β· ⏱️ 09.01.2025): ``` git clone https://github.com/catboost/catboost @@ -298,14 +298,14 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/fastai/fastai ``` -- [PyPi](https://pypi.org/project/fastai) (πŸ“₯ 360K / month Β· πŸ“¦ 310 Β· ⏱️ 19.10.2024): +- [PyPi](https://pypi.org/project/fastai) (πŸ“₯ 350K / month Β· πŸ“¦ 310 Β· ⏱️ 19.10.2024): ``` pip install fastai ```
PyFlink (πŸ₯ˆ40 Β· ⭐ 24K) - Apache Flink Python API. Apache-2 -- [GitHub](https://github.com/apache/flink) (πŸ‘¨β€πŸ’» 2K Β· πŸ”€ 13K Β· πŸ“¦ 21 Β· ⏱️ 02.01.2025): +- [GitHub](https://github.com/apache/flink) (πŸ‘¨β€πŸ’» 2K Β· πŸ”€ 13K Β· πŸ“¦ 21 Β· ⏱️ 09.01.2025): ``` git clone https://github.com/apache/flink @@ -322,7 +322,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/Theano/Theano ``` -- [PyPi](https://pypi.org/project/theano) (πŸ“₯ 76K / month Β· πŸ“¦ 170 Β· ⏱️ 27.07.2020): +- [PyPi](https://pypi.org/project/theano) (πŸ“₯ 75K / month Β· πŸ“¦ 170 Β· ⏱️ 27.07.2020): ``` pip install theano ``` @@ -333,16 +333,16 @@ _General-purpose machine learning and deep learning frameworks._
Flax (πŸ₯ˆ37 Β· ⭐ 6.2K) - Flax is a neural network library for JAX that is designed for.. Apache-2 -- [GitHub](https://github.com/google/flax) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 650 Β· πŸ“₯ 58 Β· πŸ“¦ 11K Β· πŸ“‹ 1.1K - 29% open Β· ⏱️ 17.12.2024): +- [GitHub](https://github.com/google/flax) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 650 Β· πŸ“₯ 58 Β· πŸ“¦ 11K Β· πŸ“‹ 1.1K - 29% open Β· ⏱️ 07.01.2025): ``` git clone https://github.com/google/flax ``` -- [PyPi](https://pypi.org/project/flax) (πŸ“₯ 960K / month Β· πŸ“¦ 490 Β· ⏱️ 19.11.2024): +- [PyPi](https://pypi.org/project/flax) (πŸ“₯ 940K / month Β· πŸ“¦ 490 Β· ⏱️ 19.11.2024): ``` pip install flax ``` -- [Conda](https://anaconda.org/conda-forge/flax) (πŸ“₯ 83K Β· ⏱️ 20.11.2024): +- [Conda](https://anaconda.org/conda-forge/flax) (πŸ“₯ 84K Β· ⏱️ 20.11.2024): ``` conda install -c conda-forge flax ``` @@ -354,11 +354,11 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/jina-ai/jina ``` -- [PyPi](https://pypi.org/project/jina) (πŸ“₯ 69K / month Β· πŸ“¦ 27 Β· ⏱️ 20.12.2024): +- [PyPi](https://pypi.org/project/jina) (πŸ“₯ 61K / month Β· πŸ“¦ 27 Β· ⏱️ 20.12.2024): ``` pip install jina ``` -- [Conda](https://anaconda.org/conda-forge/jina-core) (πŸ“₯ 83K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/jina-core) (πŸ“₯ 84K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge jina-core ``` @@ -369,12 +369,12 @@ _General-purpose machine learning and deep learning frameworks._
einops (πŸ₯ˆ35 Β· ⭐ 8.6K) - Flexible and powerful tensor operations for readable and reliable code.. MIT -- [GitHub](https://github.com/arogozhnikov/einops) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 350 Β· πŸ“¦ 56K Β· πŸ“‹ 190 - 17% open Β· ⏱️ 16.12.2024): +- [GitHub](https://github.com/arogozhnikov/einops) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 350 Β· πŸ“¦ 57K Β· πŸ“‹ 190 - 17% open Β· ⏱️ 08.01.2025): ``` git clone https://github.com/arogozhnikov/einops ``` -- [PyPi](https://pypi.org/project/einops) (πŸ“₯ 4.9M / month Β· πŸ“¦ 2K Β· ⏱️ 28.04.2024): +- [PyPi](https://pypi.org/project/einops) (πŸ“₯ 5.1M / month Β· πŸ“¦ 2K Β· ⏱️ 28.04.2024): ``` pip install einops ``` @@ -385,12 +385,12 @@ _General-purpose machine learning and deep learning frameworks._
Ignite (πŸ₯ˆ35 Β· ⭐ 4.6K) - High-level library to help with training and evaluating neural.. BSD-3 -- [GitHub](https://github.com/pytorch/ignite) (πŸ‘¨β€πŸ’» 730 Β· πŸ”€ 620 Β· πŸ“¦ 3.4K Β· πŸ“‹ 1.4K - 11% open Β· ⏱️ 16.12.2024): +- [GitHub](https://github.com/pytorch/ignite) (πŸ‘¨β€πŸ’» 740 Β· πŸ”€ 620 Β· πŸ“¦ 3.5K Β· πŸ“‹ 1.4K - 11% open Β· ⏱️ 04.01.2025): ``` git clone https://github.com/pytorch/ignite ``` -- [PyPi](https://pypi.org/project/pytorch-ignite) (πŸ“₯ 120K / month Β· πŸ“¦ 100 Β· ⏱️ 02.01.2025): +- [PyPi](https://pypi.org/project/pytorch-ignite) (πŸ“₯ 110K / month Β· πŸ“¦ 100 Β· ⏱️ 09.01.2025): ``` pip install pytorch-ignite ``` @@ -406,23 +406,23 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/VowpalWabbit/vowpal_wabbit ``` -- [PyPi](https://pypi.org/project/vowpalwabbit) (πŸ“₯ 32K / month Β· πŸ“¦ 40 Β· ⏱️ 08.08.2024): +- [PyPi](https://pypi.org/project/vowpalwabbit) (πŸ“₯ 28K / month Β· πŸ“¦ 40 Β· ⏱️ 08.08.2024): ``` pip install vowpalwabbit ``` -- [Conda](https://anaconda.org/conda-forge/vowpalwabbit) (πŸ“₯ 260K Β· ⏱️ 27.11.2024): +- [Conda](https://anaconda.org/conda-forge/vowpalwabbit) (πŸ“₯ 270K Β· ⏱️ 27.11.2024): ``` conda install -c conda-forge vowpalwabbit ```
mlpack (πŸ₯ˆ34 Β· ⭐ 5.2K) - mlpack: a fast, header-only C++ machine learning library. BSD-3 -- [GitHub](https://github.com/mlpack/mlpack) (πŸ‘¨β€πŸ’» 330 Β· πŸ”€ 1.6K Β· πŸ“‹ 1.6K - 1% open Β· ⏱️ 29.12.2024): +- [GitHub](https://github.com/mlpack/mlpack) (πŸ‘¨β€πŸ’» 330 Β· πŸ”€ 1.6K Β· πŸ“‹ 1.6K - 1% open Β· ⏱️ 09.01.2025): ``` git clone https://github.com/mlpack/mlpack ``` -- [PyPi](https://pypi.org/project/mlpack) (πŸ“₯ 6.2K / month Β· πŸ“¦ 6 Β· ⏱️ 11.12.2024): +- [PyPi](https://pypi.org/project/mlpack) (πŸ“₯ 5.9K / month Β· πŸ“¦ 6 Β· ⏱️ 11.12.2024): ``` pip install mlpack ``` @@ -433,16 +433,16 @@ _General-purpose machine learning and deep learning frameworks._
Thinc (πŸ₯ˆ34 Β· ⭐ 2.8K) - A refreshing functional take on deep learning, compatible with your favorite.. MIT -- [GitHub](https://github.com/explosion/thinc) (πŸ‘¨β€πŸ’» 66 Β· πŸ”€ 280 Β· πŸ“₯ 650 Β· πŸ“¦ 58K Β· πŸ“‹ 150 - 14% open Β· ⏱️ 11.12.2024): +- [GitHub](https://github.com/explosion/thinc) (πŸ‘¨β€πŸ’» 66 Β· πŸ”€ 280 Β· πŸ“₯ 670 Β· πŸ“¦ 59K Β· πŸ“‹ 150 - 14% open Β· ⏱️ 11.12.2024): ``` git clone https://github.com/explosion/thinc ``` -- [PyPi](https://pypi.org/project/thinc) (πŸ“₯ 11M / month Β· πŸ“¦ 150 Β· ⏱️ 16.12.2024): +- [PyPi](https://pypi.org/project/thinc) (πŸ“₯ 9.3M / month Β· πŸ“¦ 150 Β· ⏱️ 16.12.2024): ``` pip install thinc ``` -- [Conda](https://anaconda.org/conda-forge/thinc) (πŸ“₯ 3.2M Β· ⏱️ 03.12.2024): +- [Conda](https://anaconda.org/conda-forge/thinc) (πŸ“₯ 3.3M Β· ⏱️ 03.12.2024): ``` conda install -c conda-forge thinc ``` @@ -454,11 +454,27 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/ludwig-ai/ludwig ``` -- [PyPi](https://pypi.org/project/ludwig) (πŸ“₯ 2.1K / month Β· πŸ“¦ 6 Β· ⏱️ 30.07.2024): +- [PyPi](https://pypi.org/project/ludwig) (πŸ“₯ 1.9K / month Β· πŸ“¦ 6 Β· ⏱️ 30.07.2024): ``` pip install ludwig ```
+
skorch (πŸ₯‰32 Β· ⭐ 5.9K) - A scikit-learn compatible neural network library that wraps.. BSD-3 + +- [GitHub](https://github.com/skorch-dev/skorch) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 390 Β· πŸ“¦ 1.5K Β· πŸ“‹ 520 - 11% open Β· ⏱️ 09.01.2025): + + ``` + git clone https://github.com/skorch-dev/skorch + ``` +- [PyPi](https://pypi.org/project/skorch) (πŸ“₯ 170K / month Β· πŸ“¦ 85 Β· ⏱️ 27.05.2024): + ``` + pip install skorch + ``` +- [Conda](https://anaconda.org/conda-forge/skorch) (πŸ“₯ 790K Β· ⏱️ 27.12.2024): + ``` + conda install -c conda-forge skorch + ``` +
Haiku (πŸ₯‰32 Β· ⭐ 2.9K) - JAX-based neural network library. Apache-2 - [GitHub](https://github.com/google-deepmind/dm-haiku) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 230 Β· πŸ“¦ 2.2K Β· πŸ“‹ 250 - 28% open Β· ⏱️ 17.12.2024): @@ -466,11 +482,11 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/deepmind/dm-haiku ``` -- [PyPi](https://pypi.org/project/dm-haiku) (πŸ“₯ 200K / month Β· πŸ“¦ 180 Β· ⏱️ 16.10.2024): +- [PyPi](https://pypi.org/project/dm-haiku) (πŸ“₯ 180K / month Β· πŸ“¦ 180 Β· ⏱️ 16.10.2024): ``` pip install dm-haiku ``` -- [Conda](https://anaconda.org/conda-forge/dm-haiku) (πŸ“₯ 26K Β· ⏱️ 23.12.2024): +- [Conda](https://anaconda.org/conda-forge/dm-haiku) (πŸ“₯ 27K Β· ⏱️ 23.12.2024): ``` conda install -c conda-forge dm-haiku ``` @@ -491,58 +507,42 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge sonnet ```
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skorch (πŸ₯‰31 Β· ⭐ 5.9K) - A scikit-learn compatible neural network library that wraps.. BSD-3 - -- [GitHub](https://github.com/skorch-dev/skorch) (πŸ‘¨β€πŸ’» 63 Β· πŸ”€ 390 Β· πŸ“¦ 1.5K Β· πŸ“‹ 520 - 11% open Β· ⏱️ 30.12.2024): - - ``` - git clone https://github.com/skorch-dev/skorch - ``` -- [PyPi](https://pypi.org/project/skorch) (πŸ“₯ 160K / month Β· πŸ“¦ 85 Β· ⏱️ 27.05.2024): - ``` - pip install skorch - ``` -- [Conda](https://anaconda.org/conda-forge/skorch) (πŸ“₯ 790K Β· ⏱️ 27.12.2024): - ``` - conda install -c conda-forge skorch - ``` -
tensorflow-upstream (πŸ₯‰31 Β· ⭐ 690) - TensorFlow ROCm port. Apache-2 -- [GitHub](https://github.com/ROCm/tensorflow-upstream) (πŸ‘¨β€πŸ’» 4.7K Β· πŸ”€ 95 Β· πŸ“₯ 26 Β· πŸ“‹ 380 - 18% open Β· ⏱️ 20.12.2024): +- [GitHub](https://github.com/ROCm/tensorflow-upstream) (πŸ‘¨β€πŸ’» 4.8K Β· πŸ”€ 95 Β· πŸ“₯ 26 Β· πŸ“‹ 380 - 18% open Β· ⏱️ 07.01.2025): ``` git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream ``` -- [PyPi](https://pypi.org/project/tensorflow-rocm) (πŸ“₯ 7K / month Β· πŸ“¦ 9 Β· ⏱️ 10.01.2024): +- [PyPi](https://pypi.org/project/tensorflow-rocm) (πŸ“₯ 5.8K / month Β· πŸ“¦ 9 Β· ⏱️ 10.01.2024): ``` pip install tensorflow-rocm ```
Determined (πŸ₯‰30 Β· ⭐ 3.1K) - Determined is an open-source machine learning platform.. Apache-2 -- [GitHub](https://github.com/determined-ai/determined) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 360 Β· πŸ“₯ 12K Β· πŸ“‹ 450 - 21% open Β· ⏱️ 12.12.2024): +- [GitHub](https://github.com/determined-ai/determined) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 360 Β· πŸ“₯ 12K Β· πŸ“‹ 450 - 21% open Β· ⏱️ 07.01.2025): ``` git clone https://github.com/determined-ai/determined ``` -- [PyPi](https://pypi.org/project/determined) (πŸ“₯ 21K / month Β· πŸ“¦ 4 Β· ⏱️ 22.11.2024): +- [PyPi](https://pypi.org/project/determined) (πŸ“₯ 23K / month Β· πŸ“¦ 4 Β· ⏱️ 22.11.2024): ``` pip install determined ```
Geomstats (πŸ₯‰30 Β· ⭐ 1.3K) - Computations and statistics on manifolds with geometric structures. MIT -- [GitHub](https://github.com/geomstats/geomstats) (πŸ‘¨β€πŸ’» 93 Β· πŸ”€ 250 Β· πŸ“¦ 130 Β· πŸ“‹ 570 - 36% open Β· ⏱️ 31.12.2024): +- [GitHub](https://github.com/geomstats/geomstats) (πŸ‘¨β€πŸ’» 93 Β· πŸ”€ 250 Β· πŸ“¦ 130 Β· πŸ“‹ 570 - 36% open Β· ⏱️ 08.01.2025): ``` git clone https://github.com/geomstats/geomstats ``` -- [PyPi](https://pypi.org/project/geomstats) (πŸ“₯ 4.1K / month Β· πŸ“¦ 12 Β· ⏱️ 09.09.2024): +- [PyPi](https://pypi.org/project/geomstats) (πŸ“₯ 4K / month Β· πŸ“¦ 12 Β· ⏱️ 09.09.2024): ``` pip install geomstats ``` -- [Conda](https://anaconda.org/conda-forge/geomstats) (πŸ“₯ 4.5K Β· ⏱️ 01.01.2025): +- [Conda](https://anaconda.org/conda-forge/geomstats) (πŸ“₯ 4.6K Β· ⏱️ 01.01.2025): ``` conda install -c conda-forge geomstats ``` @@ -554,7 +554,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/numenta/nupic ``` -- [PyPi](https://pypi.org/project/nupic) (πŸ“₯ 1.8K / month Β· ⏱️ 01.09.2016): +- [PyPi](https://pypi.org/project/nupic) (πŸ“₯ 1.5K / month Β· ⏱️ 01.09.2016): ``` pip install nupic ``` @@ -566,7 +566,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/sony/nnabla ``` -- [PyPi](https://pypi.org/project/nnabla) (πŸ“₯ 9.5K / month Β· πŸ“¦ 44 Β· ⏱️ 29.05.2024): +- [PyPi](https://pypi.org/project/nnabla) (πŸ“₯ 8.2K / month Β· πŸ“¦ 44 Β· ⏱️ 29.05.2024): ``` pip install nnabla ``` @@ -583,30 +583,30 @@ _General-purpose machine learning and deep learning frameworks._ pip install ktrain ```
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pyRiemann (πŸ₯‰26 Β· ⭐ 650) - Machine learning for multivariate data through the Riemannian.. BSD-3 +
pyRiemann (πŸ₯‰26 Β· ⭐ 660) - Machine learning for multivariate data through the Riemannian.. BSD-3 -- [GitHub](https://github.com/pyRiemann/pyRiemann) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 160 Β· πŸ“¦ 420 Β· πŸ“‹ 110 - 4% open Β· ⏱️ 17.12.2024): +- [GitHub](https://github.com/pyRiemann/pyRiemann) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 160 Β· πŸ“¦ 420 Β· πŸ“‹ 110 - 4% open Β· ⏱️ 06.01.2025): ``` git clone https://github.com/pyRiemann/pyRiemann ``` -- [PyPi](https://pypi.org/project/pyriemann) (πŸ“₯ 25K / month Β· πŸ“¦ 28 Β· ⏱️ 03.10.2024): +- [PyPi](https://pypi.org/project/pyriemann) (πŸ“₯ 22K / month Β· πŸ“¦ 28 Β· ⏱️ 03.10.2024): ``` pip install pyriemann ``` -- [Conda](https://anaconda.org/conda-forge/pyriemann) (πŸ“₯ 9.5K Β· ⏱️ 26.12.2024): +- [Conda](https://anaconda.org/conda-forge/pyriemann) (πŸ“₯ 9.6K Β· ⏱️ 26.12.2024): ``` conda install -c conda-forge pyriemann ```
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Towhee (πŸ₯‰25 Β· ⭐ 3.3K) - Towhee is a framework that is dedicated to making neural data.. Apache-2 +
Towhee (πŸ₯‰24 Β· ⭐ 3.3K) - Towhee is a framework that is dedicated to making neural data.. Apache-2 - [GitHub](https://github.com/towhee-io/towhee) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 250 Β· πŸ“₯ 2.7K Β· πŸ“‹ 670 - 0% open Β· ⏱️ 18.10.2024): ``` git clone https://github.com/towhee-io/towhee ``` -- [PyPi](https://pypi.org/project/towhee) (πŸ“₯ 20K / month Β· ⏱️ 04.12.2023): +- [PyPi](https://pypi.org/project/towhee) (πŸ“₯ 19K / month Β· ⏱️ 04.12.2023): ``` pip install towhee ``` @@ -618,7 +618,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/google/neural-tangents ``` -- [PyPi](https://pypi.org/project/neural-tangents) (πŸ“₯ 2.8K / month Β· πŸ“¦ 1 Β· ⏱️ 11.12.2023): +- [PyPi](https://pypi.org/project/neural-tangents) (πŸ“₯ 2.4K / month Β· πŸ“¦ 1 Β· ⏱️ 11.12.2023): ``` pip install neural-tangents ``` @@ -630,19 +630,19 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/nubank/fklearn ``` -- [PyPi](https://pypi.org/project/fklearn) (πŸ“₯ 2K / month Β· ⏱️ 14.08.2024): +- [PyPi](https://pypi.org/project/fklearn) (πŸ“₯ 2.2K / month Β· ⏱️ 14.08.2024): ``` pip install fklearn ```
Runhouse (πŸ₯‰24 Β· ⭐ 990) - Dispatch and distribute your ML training to serverless clusters in.. Apache-2 -- [GitHub](https://github.com/run-house/runhouse) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 36 Β· πŸ“₯ 68 Β· πŸ“‹ 51 - 17% open Β· ⏱️ 30.12.2024): +- [GitHub](https://github.com/run-house/runhouse) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 36 Β· πŸ“₯ 68 Β· πŸ“‹ 51 - 17% open Β· ⏱️ 09.01.2025): ``` git clone https://github.com/run-house/runhouse ``` -- [PyPi](https://pypi.org/project/runhouse) (πŸ“₯ 38K / month Β· πŸ“¦ 1 Β· ⏱️ 12.12.2024): +- [PyPi](https://pypi.org/project/runhouse) (πŸ“₯ 39K / month Β· πŸ“¦ 1 Β· ⏱️ 12.12.2024): ``` pip install runhouse ``` @@ -674,14 +674,14 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/google/objax ``` -- [PyPi](https://pypi.org/project/objax) (πŸ“₯ 630 / month Β· πŸ“¦ 4 Β· ⏱️ 06.11.2023): +- [PyPi](https://pypi.org/project/objax) (πŸ“₯ 660 / month Β· πŸ“¦ 4 Β· ⏱️ 06.11.2023): ``` pip install objax ```
-
chefboost (πŸ₯‰21 Β· ⭐ 460) - A Lightweight Decision Tree Framework supporting regular algorithms:.. MIT +
chefboost (πŸ₯‰21 Β· ⭐ 470) - A Lightweight Decision Tree Framework supporting regular algorithms:.. MIT -- [GitHub](https://github.com/serengil/chefboost) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 100 Β· πŸ“¦ 64 Β· ⏱️ 30.10.2024): +- [GitHub](https://github.com/serengil/chefboost) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 100 Β· πŸ“¦ 65 Β· ⏱️ 30.10.2024): ``` git clone https://github.com/serengil/chefboost @@ -698,7 +698,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/neoml-lib/neoml ``` -- [PyPi](https://pypi.org/project/neoml) (πŸ“₯ 790 / month Β· ⏱️ 26.12.2023): +- [PyPi](https://pypi.org/project/neoml) (πŸ“₯ 930 / month Β· ⏱️ 26.12.2023): ``` pip install neoml ``` @@ -710,7 +710,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/Xtra-Computing/thundergbm ``` -- [PyPi](https://pypi.org/project/thundergbm) (πŸ“₯ 880 / month Β· ⏱️ 19.09.2022): +- [PyPi](https://pypi.org/project/thundergbm) (πŸ“₯ 660 / month Β· ⏱️ 19.09.2022): ``` pip install thundergbm ``` @@ -720,7 +720,7 @@ _General-purpose machine learning and deep learning frameworks._ - dlib (πŸ₯ˆ39 Β· ⭐ 14K) - A toolkit for making real world machine learning and data analysis.. ❗️BSL-1.0 - MXNet (πŸ₯ˆ38 Β· ⭐ 21K Β· πŸ’€) - Lightweight, Portable, Flexible Distributed/Mobile Deep.. Apache-2 - ivy (πŸ₯ˆ35 Β· ⭐ 14K) - Convert Machine Learning Code Between Frameworks. ❗️Intel-ACPI -- MindsDB (πŸ₯‰33 Β· ⭐ 27K) - Platform for building AI that can learn and answer.. ❗️MulanPSL-1.0 +- MindsDB (πŸ₯‰33 Β· ⭐ 27K) - AGIs query engine - Platform for building AI that can.. ❗️MulanPSL-1.0 - tensorpack (πŸ₯‰33 Β· ⭐ 6.3K Β· πŸ’€) - A Neural Net Training Interface on TensorFlow, with.. Apache-2 - Chainer (πŸ₯‰33 Β· ⭐ 5.9K Β· πŸ’€) - A flexible framework of neural networks for deep learning. MIT - Turi Create (πŸ₯‰32 Β· ⭐ 11K Β· πŸ’€) - Turi Create simplifies the development of custom machine.. BSD-3 @@ -746,14 +746,14 @@ _General-purpose machine learning and deep learning frameworks._ _General-purpose and task-specific data visualization libraries._ -
Matplotlib (πŸ₯‡48 Β· ⭐ 21K) - matplotlib: plotting with Python. ❗Unlicensed +
Matplotlib (πŸ₯‡49 Β· ⭐ 21K Β· πŸ“ˆ) - matplotlib: plotting with Python. ❗Unlicensed -- [GitHub](https://github.com/matplotlib/matplotlib) (πŸ‘¨β€πŸ’» 1.8K Β· πŸ”€ 7.7K Β· πŸ“¦ 1.5M Β· πŸ“‹ 11K - 14% open Β· ⏱️ 30.12.2024): +- [GitHub](https://github.com/matplotlib/matplotlib) (πŸ‘¨β€πŸ’» 1.8K Β· πŸ”€ 7.7K Β· πŸ“¦ 1.5M Β· πŸ“‹ 11K - 14% open Β· ⏱️ 08.01.2025): ``` git clone https://github.com/matplotlib/matplotlib ``` -- [PyPi](https://pypi.org/project/matplotlib) (πŸ“₯ 65M / month Β· πŸ“¦ 53K Β· ⏱️ 14.12.2024): +- [PyPi](https://pypi.org/project/matplotlib) (πŸ“₯ 63M / month Β· πŸ“¦ 53K Β· ⏱️ 14.12.2024): ``` pip install matplotlib ``` @@ -764,32 +764,32 @@ _General-purpose and task-specific data visualization libraries._
Plotly (πŸ₯‡46 Β· ⭐ 17K) - The interactive graphing library for Python This project now includes.. MIT -- [GitHub](https://github.com/plotly/plotly.py) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 2.6K Β· πŸ“¦ 340K Β· πŸ“‹ 3.1K - 18% open Β· ⏱️ 17.12.2024): +- [GitHub](https://github.com/plotly/plotly.py) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 2.6K Β· πŸ“¦ 350K Β· πŸ“‹ 3.1K - 18% open Β· ⏱️ 17.12.2024): ``` git clone https://github.com/plotly/plotly.py ``` -- [PyPi](https://pypi.org/project/plotly) (πŸ“₯ 18M / month Β· πŸ“¦ 6.3K Β· ⏱️ 12.09.2024): +- [PyPi](https://pypi.org/project/plotly) (πŸ“₯ 17M / month Β· πŸ“¦ 6.3K Β· ⏱️ 12.09.2024): ``` pip install plotly ``` -- [Conda](https://anaconda.org/conda-forge/plotly) (πŸ“₯ 7.9M Β· ⏱️ 09.12.2024): +- [Conda](https://anaconda.org/conda-forge/plotly) (πŸ“₯ 8M Β· ⏱️ 09.12.2024): ``` conda install -c conda-forge plotly ``` -- [npm](https://www.npmjs.com/package/plotlywidget) (πŸ“₯ 23K / month Β· πŸ“¦ 9 Β· ⏱️ 12.01.2021): +- [npm](https://www.npmjs.com/package/plotlywidget) (πŸ“₯ 36K / month Β· πŸ“¦ 9 Β· ⏱️ 12.01.2021): ``` npm install plotlywidget ```
Bokeh (πŸ₯‡45 Β· ⭐ 20K) - Interactive Data Visualization in the browser, from Python. BSD-3 -- [GitHub](https://github.com/bokeh/bokeh) (πŸ‘¨β€πŸ’» 700 Β· πŸ”€ 4.2K Β· πŸ“¦ 96K Β· πŸ“‹ 7.8K - 10% open Β· ⏱️ 29.12.2024): +- [GitHub](https://github.com/bokeh/bokeh) (πŸ‘¨β€πŸ’» 700 Β· πŸ”€ 4.2K Β· πŸ“¦ 96K Β· πŸ“‹ 7.8K - 10% open Β· ⏱️ 08.01.2025): ``` git clone https://github.com/bokeh/bokeh ``` -- [PyPi](https://pypi.org/project/bokeh) (πŸ“₯ 3.5M / month Β· πŸ“¦ 1.8K Β· ⏱️ 03.12.2024): +- [PyPi](https://pypi.org/project/bokeh) (πŸ“₯ 3.3M / month Β· πŸ“¦ 1.8K Β· ⏱️ 03.12.2024): ``` pip install bokeh ``` @@ -805,7 +805,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/plotly/dash ``` -- [PyPi](https://pypi.org/project/dash) (πŸ“₯ 4.3M / month Β· πŸ“¦ 1.3K Β· ⏱️ 04.11.2024): +- [PyPi](https://pypi.org/project/dash) (πŸ“₯ 4.2M / month Β· πŸ“¦ 1.3K Β· ⏱️ 04.11.2024): ``` pip install dash ``` @@ -816,7 +816,7 @@ _General-purpose and task-specific data visualization libraries._
Altair (πŸ₯‡42 Β· ⭐ 9.5K) - Declarative visualization library for Python. BSD-3 -- [GitHub](https://github.com/vega/altair) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 800 Β· πŸ“₯ 220 Β· πŸ“¦ 190K Β· πŸ“‹ 2K - 8% open Β· ⏱️ 02.01.2025): +- [GitHub](https://github.com/vega/altair) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 800 Β· πŸ“₯ 220 Β· πŸ“¦ 190K Β· πŸ“‹ 2.1K - 6% open Β· ⏱️ 09.01.2025): ``` git clone https://github.com/altair-viz/altair @@ -825,14 +825,14 @@ _General-purpose and task-specific data visualization libraries._ ``` pip install altair ``` -- [Conda](https://anaconda.org/conda-forge/altair) (πŸ“₯ 2.5M Β· ⏱️ 15.12.2024): +- [Conda](https://anaconda.org/conda-forge/altair) (πŸ“₯ 2.6M Β· ⏱️ 15.12.2024): ``` conda install -c conda-forge altair ```
Seaborn (πŸ₯‡41 Β· ⭐ 13K) - Statistical data visualization in Python. BSD-3 -- [GitHub](https://github.com/mwaskom/seaborn) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 1.9K Β· πŸ“₯ 460 Β· πŸ“¦ 530K Β· πŸ“‹ 2.6K - 7% open Β· ⏱️ 16.12.2024): +- [GitHub](https://github.com/mwaskom/seaborn) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 1.9K Β· πŸ“₯ 460 Β· πŸ“¦ 540K Β· πŸ“‹ 2.6K - 7% open Β· ⏱️ 16.12.2024): ``` git clone https://github.com/mwaskom/seaborn @@ -853,30 +853,30 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/pyecharts/pyecharts ``` -- [PyPi](https://pypi.org/project/pyecharts) (πŸ“₯ 170K / month Β· πŸ“¦ 220 Β· ⏱️ 03.11.2024): +- [PyPi](https://pypi.org/project/pyecharts) (πŸ“₯ 160K / month Β· πŸ“¦ 220 Β· ⏱️ 03.11.2024): ``` pip install pyecharts ```
PyVista (πŸ₯ˆ38 Β· ⭐ 2.8K) - 3D plotting and mesh analysis through a streamlined interface for.. MIT -- [GitHub](https://github.com/pyvista/pyvista) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 520 Β· πŸ“₯ 850 Β· πŸ“¦ 3.9K Β· πŸ“‹ 1.8K - 36% open Β· ⏱️ 01.01.2025): +- [GitHub](https://github.com/pyvista/pyvista) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 520 Β· πŸ“₯ 850 Β· πŸ“¦ 3.9K Β· πŸ“‹ 1.8K - 36% open Β· ⏱️ 09.01.2025): ``` git clone https://github.com/pyvista/pyvista ``` -- [PyPi](https://pypi.org/project/pyvista) (πŸ“₯ 360K / month Β· πŸ“¦ 580 Β· ⏱️ 27.11.2024): +- [PyPi](https://pypi.org/project/pyvista) (πŸ“₯ 350K / month Β· πŸ“¦ 580 Β· ⏱️ 27.11.2024): ``` pip install pyvista ``` -- [Conda](https://anaconda.org/conda-forge/pyvista) (πŸ“₯ 600K Β· ⏱️ 15.12.2024): +- [Conda](https://anaconda.org/conda-forge/pyvista) (πŸ“₯ 610K Β· ⏱️ 15.12.2024): ``` conda install -c conda-forge pyvista ```
pandas-profiling (πŸ₯ˆ37 Β· ⭐ 13K) - 1 Line of code data quality profiling & exploratory.. MIT -- [GitHub](https://github.com/ydataai/ydata-profiling) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.7K Β· πŸ“₯ 220 Β· πŸ“¦ 5K Β· πŸ“‹ 820 - 28% open Β· ⏱️ 19.12.2024): +- [GitHub](https://github.com/ydataai/ydata-profiling) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.7K Β· πŸ“₯ 230 Β· πŸ“¦ 5.1K Β· πŸ“‹ 820 - 29% open Β· ⏱️ 19.12.2024): ``` git clone https://github.com/ydataai/pandas-profiling @@ -892,24 +892,24 @@ _General-purpose and task-specific data visualization libraries._
FiftyOne (πŸ₯ˆ37 Β· ⭐ 9K) - Visualize, create, and debug image and video datasets.. Apache-2 -- [GitHub](https://github.com/voxel51/fiftyone) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 580 Β· πŸ“¦ 780 Β· πŸ“‹ 1.6K - 32% open Β· ⏱️ 31.12.2024): +- [GitHub](https://github.com/voxel51/fiftyone) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 580 Β· πŸ“¦ 780 Β· πŸ“‹ 1.6K - 32% open Β· ⏱️ 07.01.2025): ``` git clone https://github.com/voxel51/fiftyone ``` -- [PyPi](https://pypi.org/project/fiftyone) (πŸ“₯ 99K / month Β· πŸ“¦ 25 Β· ⏱️ 20.12.2024): +- [PyPi](https://pypi.org/project/fiftyone) (πŸ“₯ 97K / month Β· πŸ“¦ 25 Β· ⏱️ 20.12.2024): ``` pip install fiftyone ```
HoloViews (πŸ₯ˆ37 Β· ⭐ 2.7K) - With Holoviews, your data visualizes itself. BSD-3 -- [GitHub](https://github.com/holoviz/holoviews) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 400 Β· πŸ“¦ 13K Β· πŸ“‹ 3.4K - 33% open Β· ⏱️ 20.12.2024): +- [GitHub](https://github.com/holoviz/holoviews) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 400 Β· πŸ“¦ 14K Β· πŸ“‹ 3.4K - 33% open Β· ⏱️ 09.01.2025): ``` git clone https://github.com/holoviz/holoviews ``` -- [PyPi](https://pypi.org/project/holoviews) (πŸ“₯ 360K / month Β· πŸ“¦ 400 Β· ⏱️ 11.11.2024): +- [PyPi](https://pypi.org/project/holoviews) (πŸ“₯ 340K / month Β· πŸ“¦ 400 Β· ⏱️ 11.11.2024): ``` pip install holoviews ``` @@ -917,12 +917,12 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge holoviews ``` -- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (πŸ“₯ 180 / month Β· πŸ“¦ 5 Β· ⏱️ 01.08.2024): +- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (πŸ“₯ 220 / month Β· πŸ“¦ 5 Β· ⏱️ 01.08.2024): ``` npm install @pyviz/jupyterlab_pyviz ```
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plotnine (πŸ₯ˆ36 Β· ⭐ 4.1K Β· πŸ“ˆ) - A Grammar of Graphics for Python. MIT +
plotnine (πŸ₯ˆ36 Β· ⭐ 4.1K) - A Grammar of Graphics for Python. MIT - [GitHub](https://github.com/has2k1/plotnine) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 230 Β· πŸ“¦ 10K Β· πŸ“‹ 700 - 11% open Β· ⏱️ 02.01.2025): @@ -940,12 +940,12 @@ _General-purpose and task-specific data visualization libraries._
PyQtGraph (πŸ₯ˆ36 Β· ⭐ 3.9K) - Fast data visualization and GUI tools for scientific / engineering.. MIT -- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 1.1K Β· πŸ“¦ 11K Β· πŸ“‹ 1.3K - 32% open Β· ⏱️ 06.11.2024): +- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 1.1K Β· πŸ“¦ 11K Β· πŸ“‹ 1.3K - 32% open Β· ⏱️ 06.01.2025): ``` git clone https://github.com/pyqtgraph/pyqtgraph ``` -- [PyPi](https://pypi.org/project/pyqtgraph) (πŸ“₯ 250K / month Β· πŸ“¦ 1K Β· ⏱️ 29.04.2024): +- [PyPi](https://pypi.org/project/pyqtgraph) (πŸ“₯ 230K / month Β· πŸ“¦ 1K Β· ⏱️ 29.04.2024): ``` pip install pyqtgraph ``` @@ -956,7 +956,7 @@ _General-purpose and task-specific data visualization libraries._
Graphviz (πŸ₯ˆ35 Β· ⭐ 1.7K Β· πŸ’€) - Simple Python interface for Graphviz. MIT -- [GitHub](https://github.com/xflr6/graphviz) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 210 Β· πŸ“¦ 79K Β· πŸ“‹ 180 - 6% open Β· ⏱️ 13.05.2024): +- [GitHub](https://github.com/xflr6/graphviz) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 210 Β· πŸ“¦ 80K Β· πŸ“‹ 180 - 6% open Β· ⏱️ 13.05.2024): ``` git clone https://github.com/xflr6/graphviz @@ -970,25 +970,9 @@ _General-purpose and task-specific data visualization libraries._ conda install -c anaconda python-graphviz ```
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cartopy (πŸ₯ˆ35 Β· ⭐ 1.4K) - Cartopy - a cartographic python library with matplotlib support. BSD-3 - -- [GitHub](https://github.com/SciTools/cartopy) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 360 Β· πŸ“¦ 6.3K Β· πŸ“‹ 1.3K - 23% open Β· ⏱️ 10.12.2024): - - ``` - git clone https://github.com/SciTools/cartopy - ``` -- [PyPi](https://pypi.org/project/cartopy) (πŸ“₯ 330K / month Β· πŸ“¦ 720 Β· ⏱️ 08.10.2024): - ``` - pip install cartopy - ``` -- [Conda](https://anaconda.org/conda-forge/cartopy) (πŸ“₯ 4.3M Β· ⏱️ 07.10.2024): - ``` - conda install -c conda-forge cartopy - ``` -
Perspective (πŸ₯ˆ34 Β· ⭐ 8.7K) - A data visualization and analytics component, especially.. Apache-2 -- [GitHub](https://github.com/finos/perspective) (πŸ‘¨β€πŸ’» 98 Β· πŸ”€ 1.2K Β· πŸ“₯ 7.5K Β· πŸ“¦ 160 Β· πŸ“‹ 840 - 13% open Β· ⏱️ 02.01.2025): +- [GitHub](https://github.com/finos/perspective) (πŸ‘¨β€πŸ’» 98 Β· πŸ”€ 1.2K Β· πŸ“₯ 7.7K Β· πŸ“¦ 160 Β· πŸ“‹ 850 - 13% open Β· ⏱️ 02.01.2025): ``` git clone https://github.com/finos/perspective @@ -1001,19 +985,19 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge perspective ``` -- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (πŸ“₯ 470 / month Β· πŸ“¦ 6 Β· ⏱️ 23.12.2024): +- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (πŸ“₯ 390 / month Β· πŸ“¦ 6 Β· ⏱️ 23.12.2024): ``` npm install @finos/perspective-jupyterlab ```
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UMAP (πŸ₯ˆ34 Β· ⭐ 7.5K) - Uniform Manifold Approximation and Projection. BSD-3 +
UMAP (πŸ₯ˆ34 Β· ⭐ 7.6K) - Uniform Manifold Approximation and Projection. BSD-3 - [GitHub](https://github.com/lmcinnes/umap) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 810 Β· πŸ“¦ 1 Β· πŸ“‹ 830 - 58% open Β· ⏱️ 29.11.2024): ``` git clone https://github.com/lmcinnes/umap ``` -- [PyPi](https://pypi.org/project/umap-learn) (πŸ“₯ 1.5M / month Β· πŸ“¦ 1.1K Β· ⏱️ 28.10.2024): +- [PyPi](https://pypi.org/project/umap-learn) (πŸ“₯ 1.3M / month Β· πŸ“¦ 1.1K Β· ⏱️ 28.10.2024): ``` pip install umap-learn ``` @@ -1022,50 +1006,46 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge umap-learn ```
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wordcloud (πŸ₯ˆ33 Β· ⭐ 10K) - A little word cloud generator in Python. MIT +
cartopy (πŸ₯ˆ34 Β· ⭐ 1.4K) - Cartopy - a cartographic python library with matplotlib support. BSD-3 -- [GitHub](https://github.com/amueller/word_cloud) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 2.3K Β· πŸ“¦ 21 Β· πŸ“‹ 550 - 23% open Β· ⏱️ 10.11.2024): +- [GitHub](https://github.com/SciTools/cartopy) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 360 Β· πŸ“¦ 6.3K Β· πŸ“‹ 1.3K - 23% open Β· ⏱️ 06.01.2025): ``` - git clone https://github.com/amueller/word_cloud + git clone https://github.com/SciTools/cartopy ``` -- [PyPi](https://pypi.org/project/wordcloud) (πŸ“₯ 1.7M / month Β· πŸ“¦ 550 Β· ⏱️ 10.11.2024): +- [PyPi](https://pypi.org/project/cartopy) (πŸ“₯ 310K / month Β· πŸ“¦ 720 Β· ⏱️ 08.10.2024): ``` - pip install wordcloud + pip install cartopy ``` -- [Conda](https://anaconda.org/conda-forge/wordcloud) (πŸ“₯ 590K Β· ⏱️ 02.12.2024): +- [Conda](https://anaconda.org/conda-forge/cartopy) (πŸ“₯ 4.4M Β· ⏱️ 07.10.2024): ``` - conda install -c conda-forge wordcloud + conda install -c conda-forge cartopy ```
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VisPy (πŸ₯ˆ33 Β· ⭐ 3.3K) - High-performance interactive 2D/3D data visualization library. BSD-3 +
wordcloud (πŸ₯ˆ33 Β· ⭐ 10K) - A little word cloud generator in Python. MIT -- [GitHub](https://github.com/vispy/vispy) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 620 Β· πŸ“¦ 1.8K Β· πŸ“‹ 1.5K - 24% open Β· ⏱️ 09.11.2024): +- [GitHub](https://github.com/amueller/word_cloud) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 2.3K Β· πŸ“¦ 21 Β· πŸ“‹ 550 - 23% open Β· ⏱️ 10.11.2024): ``` - git clone https://github.com/vispy/vispy - ``` -- [PyPi](https://pypi.org/project/vispy) (πŸ“₯ 90K / month Β· πŸ“¦ 170 Β· ⏱️ 17.06.2024): - ``` - pip install vispy + git clone https://github.com/amueller/word_cloud ``` -- [Conda](https://anaconda.org/conda-forge/vispy) (πŸ“₯ 670K Β· ⏱️ 04.09.2024): +- [PyPi](https://pypi.org/project/wordcloud) (πŸ“₯ 1.6M / month Β· πŸ“¦ 550 Β· ⏱️ 10.11.2024): ``` - conda install -c conda-forge vispy + pip install wordcloud ``` -- [npm](https://www.npmjs.com/package/vispy) (πŸ“₯ 9 / month Β· πŸ“¦ 3 Β· ⏱️ 15.03.2020): +- [Conda](https://anaconda.org/conda-forge/wordcloud) (πŸ“₯ 590K Β· ⏱️ 02.12.2024): ``` - npm install vispy + conda install -c conda-forge wordcloud ```
datashader (πŸ₯ˆ33 Β· ⭐ 3.3K) - Quickly and accurately render even the largest data. BSD-3 -- [GitHub](https://github.com/holoviz/datashader) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 370 Β· πŸ“¦ 5.3K Β· πŸ“‹ 590 - 23% open Β· ⏱️ 12.12.2024): +- [GitHub](https://github.com/holoviz/datashader) (πŸ‘¨β€πŸ’» 59 Β· πŸ”€ 370 Β· πŸ“¦ 5.3K Β· πŸ“‹ 590 - 23% open Β· ⏱️ 07.01.2025): ``` git clone https://github.com/holoviz/datashader ``` -- [PyPi](https://pypi.org/project/datashader) (πŸ“₯ 120K / month Β· πŸ“¦ 200 Β· ⏱️ 04.07.2024): +- [PyPi](https://pypi.org/project/datashader) (πŸ“₯ 110K / month Β· πŸ“¦ 200 Β· ⏱️ 04.07.2024): ``` pip install datashader ``` @@ -1074,21 +1054,29 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge datashader ```
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lets-plot (πŸ₯ˆ32 Β· ⭐ 1.6K) - Multiplatform plotting library based on the Grammar of Graphics. MIT +
VisPy (πŸ₯ˆ32 Β· ⭐ 3.3K) - High-performance interactive 2D/3D data visualization library. BSD-3 -- [GitHub](https://github.com/JetBrains/lets-plot) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 53 Β· πŸ“₯ 2.2K Β· πŸ“¦ 150 Β· πŸ“‹ 660 - 24% open Β· ⏱️ 30.12.2024): +- [GitHub](https://github.com/vispy/vispy) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 620 Β· πŸ“¦ 1.8K Β· πŸ“‹ 1.5K - 24% open Β· ⏱️ 08.01.2025): ``` - git clone https://github.com/JetBrains/lets-plot + git clone https://github.com/vispy/vispy ``` -- [PyPi](https://pypi.org/project/lets-plot) (πŸ“₯ 44K / month Β· πŸ“¦ 15 Β· ⏱️ 17.12.2024): +- [PyPi](https://pypi.org/project/vispy) (πŸ“₯ 91K / month Β· πŸ“¦ 170 Β· ⏱️ 17.06.2024): ``` - pip install lets-plot + pip install vispy + ``` +- [Conda](https://anaconda.org/conda-forge/vispy) (πŸ“₯ 680K Β· ⏱️ 04.09.2024): + ``` + conda install -c conda-forge vispy + ``` +- [npm](https://www.npmjs.com/package/vispy) (πŸ“₯ 20 / month Β· πŸ“¦ 3 Β· ⏱️ 15.03.2020): + ``` + npm install vispy ```
hvPlot (πŸ₯ˆ32 Β· ⭐ 1.2K) - A high-level plotting API for pandas, dask, xarray, and networkx built.. BSD-3 -- [GitHub](https://github.com/holoviz/hvplot) (πŸ‘¨β€πŸ’» 51 Β· πŸ”€ 110 Β· πŸ“¦ 6.3K Β· πŸ“‹ 830 - 43% open Β· ⏱️ 16.12.2024): +- [GitHub](https://github.com/holoviz/hvplot) (πŸ‘¨β€πŸ’» 51 Β· πŸ”€ 110 Β· πŸ“¦ 6.4K Β· πŸ“‹ 830 - 43% open Β· ⏱️ 16.12.2024): ``` git clone https://github.com/holoviz/hvplot @@ -1097,19 +1085,19 @@ _General-purpose and task-specific data visualization libraries._ ``` pip install hvplot ``` -- [Conda](https://anaconda.org/conda-forge/hvplot) (πŸ“₯ 690K Β· ⏱️ 16.12.2024): +- [Conda](https://anaconda.org/conda-forge/hvplot) (πŸ“₯ 700K Β· ⏱️ 16.12.2024): ``` conda install -c conda-forge hvplot ```
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D-Tale (πŸ₯‰31 Β· ⭐ 4.8K) - Visualizer for pandas data structures. ❗️LGPL-2.1 +
D-Tale (πŸ₯ˆ31 Β· ⭐ 4.8K) - Visualizer for pandas data structures. ❗️LGPL-2.1 - [GitHub](https://github.com/man-group/dtale) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 410 Β· πŸ“¦ 1.3K Β· πŸ“‹ 590 - 10% open Β· ⏱️ 13.12.2024): ``` git clone https://github.com/man-group/dtale ``` -- [PyPi](https://pypi.org/project/dtale) (πŸ“₯ 70K / month Β· πŸ“¦ 48 Β· ⏱️ 13.12.2024): +- [PyPi](https://pypi.org/project/dtale) (πŸ“₯ 60K / month Β· πŸ“¦ 48 Β· ⏱️ 13.12.2024): ``` pip install dtale ``` @@ -1118,14 +1106,14 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge dtale ```
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mpld3 (πŸ₯‰31 Β· ⭐ 2.4K) - An interactive data visualization tool which brings matplotlib graphics to.. BSD-3 +
mpld3 (πŸ₯ˆ31 Β· ⭐ 2.4K) - An interactive data visualization tool which brings matplotlib graphics to.. BSD-3 -- [GitHub](https://github.com/mpld3/mpld3) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 360 Β· πŸ“¦ 6.8K Β· πŸ“‹ 370 - 59% open Β· ⏱️ 30.10.2024): +- [GitHub](https://github.com/mpld3/mpld3) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 360 Β· πŸ“¦ 6.9K Β· πŸ“‹ 370 - 59% open Β· ⏱️ 30.10.2024): ``` git clone https://github.com/mpld3/mpld3 ``` -- [PyPi](https://pypi.org/project/mpld3) (πŸ“₯ 290K / month Β· πŸ“¦ 150 Β· ⏱️ 23.12.2023): +- [PyPi](https://pypi.org/project/mpld3) (πŸ“₯ 280K / month Β· πŸ“¦ 150 Β· ⏱️ 23.12.2023): ``` pip install mpld3 ``` @@ -1133,19 +1121,31 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge mpld3 ``` -- [npm](https://www.npmjs.com/package/mpld3) (πŸ“₯ 730 / month Β· πŸ“¦ 9 Β· ⏱️ 23.12.2023): +- [npm](https://www.npmjs.com/package/mpld3) (πŸ“₯ 690 / month Β· πŸ“¦ 9 Β· ⏱️ 23.12.2023): ``` npm install mpld3 ```
+
lets-plot (πŸ₯ˆ31 Β· ⭐ 1.6K) - Multiplatform plotting library based on the Grammar of Graphics. MIT + +- [GitHub](https://github.com/JetBrains/lets-plot) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 53 Β· πŸ“₯ 3K Β· πŸ“¦ 160 Β· πŸ“‹ 660 - 24% open Β· ⏱️ 09.01.2025): + + ``` + git clone https://github.com/JetBrains/lets-plot + ``` +- [PyPi](https://pypi.org/project/lets-plot) (πŸ“₯ 35K / month Β· πŸ“¦ 15 Β· ⏱️ 17.12.2024): + ``` + pip install lets-plot + ``` +
bqplot (πŸ₯‰30 Β· ⭐ 3.6K) - Plotting library for IPython/Jupyter notebooks. Apache-2 -- [GitHub](https://github.com/bqplot/bqplot) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 470 Β· πŸ“¦ 60 Β· πŸ“‹ 640 - 42% open Β· ⏱️ 22.10.2024): +- [GitHub](https://github.com/bqplot/bqplot) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 470 Β· πŸ“¦ 61 Β· πŸ“‹ 640 - 42% open Β· ⏱️ 22.10.2024): ``` git clone https://github.com/bqplot/bqplot ``` -- [PyPi](https://pypi.org/project/bqplot) (πŸ“₯ 150K / month Β· πŸ“¦ 110 Β· ⏱️ 24.12.2024): +- [PyPi](https://pypi.org/project/bqplot) (πŸ“₯ 140K / month Β· πŸ“¦ 110 Β· ⏱️ 24.12.2024): ``` pip install bqplot ``` @@ -1160,12 +1160,12 @@ _General-purpose and task-specific data visualization libraries._
openTSNE (πŸ₯‰27 Β· ⭐ 1.5K) - Extensible, parallel implementations of t-SNE. BSD-3 -- [GitHub](https://github.com/pavlin-policar/openTSNE) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 160 Β· πŸ“¦ 950 Β· πŸ“‹ 140 - 6% open Β· ⏱️ 24.10.2024): +- [GitHub](https://github.com/pavlin-policar/openTSNE) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 170 Β· πŸ“¦ 960 Β· πŸ“‹ 140 - 7% open Β· ⏱️ 24.10.2024): ``` git clone https://github.com/pavlin-policar/openTSNE ``` -- [PyPi](https://pypi.org/project/opentsne) (πŸ“₯ 36K / month Β· πŸ“¦ 47 Β· ⏱️ 13.08.2024): +- [PyPi](https://pypi.org/project/opentsne) (πŸ“₯ 34K / month Β· πŸ“¦ 47 Β· ⏱️ 13.08.2024): ``` pip install opentsne ``` @@ -1181,7 +1181,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/spotify/chartify ``` -- [PyPi](https://pypi.org/project/chartify) (πŸ“₯ 2.2K / month Β· πŸ“¦ 9 Β· ⏱️ 16.10.2024): +- [PyPi](https://pypi.org/project/chartify) (πŸ“₯ 2K / month Β· πŸ“¦ 9 Β· ⏱️ 16.10.2024): ``` pip install chartify ``` @@ -1192,7 +1192,7 @@ _General-purpose and task-specific data visualization libraries._
data-validation (πŸ₯‰26 Β· ⭐ 770) - Library for exploring and validating machine learning.. Apache-2 -- [GitHub](https://github.com/tensorflow/data-validation) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 170 Β· πŸ“₯ 930 Β· πŸ“‹ 180 - 21% open Β· ⏱️ 20.11.2024): +- [GitHub](https://github.com/tensorflow/data-validation) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 170 Β· πŸ“₯ 940 Β· πŸ“‹ 180 - 21% open Β· ⏱️ 20.11.2024): ``` git clone https://github.com/tensorflow/data-validation @@ -1204,12 +1204,12 @@ _General-purpose and task-specific data visualization libraries._
HyperTools (πŸ₯‰25 Β· ⭐ 1.8K Β· πŸ’€) - A Python toolbox for gaining geometric insights into high-.. MIT -- [GitHub](https://github.com/ContextLab/hypertools) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 160 Β· πŸ“₯ 62 Β· πŸ“¦ 490 Β· πŸ“‹ 200 - 34% open Β· ⏱️ 19.03.2024): +- [GitHub](https://github.com/ContextLab/hypertools) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 160 Β· πŸ“₯ 62 Β· πŸ“¦ 500 Β· πŸ“‹ 200 - 34% open Β· ⏱️ 19.03.2024): ``` git clone https://github.com/ContextLab/hypertools ``` -- [PyPi](https://pypi.org/project/hypertools) (πŸ“₯ 750 / month Β· πŸ“¦ 2 Β· ⏱️ 12.02.2022): +- [PyPi](https://pypi.org/project/hypertools) (πŸ“₯ 730 / month Β· πŸ“¦ 2 Β· ⏱️ 12.02.2022): ``` pip install hypertools ``` @@ -1221,11 +1221,11 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/AutoViML/AutoViz ``` -- [PyPi](https://pypi.org/project/autoviz) (πŸ“₯ 17K / month Β· πŸ“¦ 11 Β· ⏱️ 10.06.2024): +- [PyPi](https://pypi.org/project/autoviz) (πŸ“₯ 16K / month Β· πŸ“¦ 11 Β· ⏱️ 10.06.2024): ``` pip install autoviz ``` -- [Conda](https://anaconda.org/conda-forge/autoviz) (πŸ“₯ 72K Β· ⏱️ 26.04.2024): +- [Conda](https://anaconda.org/conda-forge/autoviz) (πŸ“₯ 73K Β· ⏱️ 26.04.2024): ``` conda install -c conda-forge autoviz ``` @@ -1237,27 +1237,27 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/predict-idlab/plotly-resampler ``` -- [PyPi](https://pypi.org/project/plotly-resampler) (πŸ“₯ 410K / month Β· πŸ“¦ 24 Β· ⏱️ 27.03.2024): +- [PyPi](https://pypi.org/project/plotly-resampler) (πŸ“₯ 380K / month Β· πŸ“¦ 24 Β· ⏱️ 27.03.2024): ``` pip install plotly-resampler ``` -- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (πŸ“₯ 83K Β· ⏱️ 05.12.2024): +- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (πŸ“₯ 84K Β· ⏱️ 05.12.2024): ``` conda install -c conda-forge plotly-resampler ```
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python-ternary (πŸ₯‰24 Β· ⭐ 740 Β· πŸ’€) - Ternary plotting library for python with matplotlib. MIT +
python-ternary (πŸ₯‰25 Β· ⭐ 740 Β· πŸ’€) - Ternary plotting library for python with matplotlib. MIT - [GitHub](https://github.com/marcharper/python-ternary) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 160 Β· πŸ“₯ 35 Β· πŸ“¦ 200 Β· πŸ“‹ 140 - 24% open Β· ⏱️ 12.06.2024): ``` git clone https://github.com/marcharper/python-ternary ``` -- [PyPi](https://pypi.org/project/python-ternary) (πŸ“₯ 15K / month Β· πŸ“¦ 32 Β· ⏱️ 17.02.2021): +- [PyPi](https://pypi.org/project/python-ternary) (πŸ“₯ 14K / month Β· πŸ“¦ 32 Β· ⏱️ 17.02.2021): ``` pip install python-ternary ``` -- [Conda](https://anaconda.org/conda-forge/python-ternary) (πŸ“₯ 95K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/python-ternary) (πŸ“₯ 95K Β· ⏱️ 03.01.2025): ``` conda install -c conda-forge python-ternary ``` @@ -1269,11 +1269,11 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/vega/ipyvega ``` -- [PyPi](https://pypi.org/project/vega) (πŸ“₯ 11K / month Β· πŸ“¦ 17 Β· ⏱️ 25.09.2024): +- [PyPi](https://pypi.org/project/vega) (πŸ“₯ 12K / month Β· πŸ“¦ 17 Β· ⏱️ 25.09.2024): ``` pip install vega ``` -- [Conda](https://anaconda.org/conda-forge/vega) (πŸ“₯ 680K Β· ⏱️ 25.09.2024): +- [Conda](https://anaconda.org/conda-forge/vega) (πŸ“₯ 690K Β· ⏱️ 25.09.2024): ``` conda install -c conda-forge vega ``` @@ -1289,27 +1289,27 @@ _General-purpose and task-specific data visualization libraries._ ``` pip install MulticoreTSNE ``` -- [Conda](https://anaconda.org/conda-forge/multicore-tsne) (πŸ“₯ 58K Β· ⏱️ 11.10.2023): +- [Conda](https://anaconda.org/conda-forge/multicore-tsne) (πŸ“₯ 59K Β· ⏱️ 11.10.2023): ``` conda install -c conda-forge multicore-tsne ```
vegafusion (πŸ₯‰23 Β· ⭐ 340) - Serverside scaling for Vega and Altair visualizations. BSD-3 -- [GitHub](https://github.com/vega/vegafusion) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 18 Β· πŸ“₯ 9.3K Β· πŸ“‹ 140 - 36% open Β· ⏱️ 25.11.2024): +- [GitHub](https://github.com/vega/vegafusion) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 18 Β· πŸ“₯ 9.5K Β· πŸ“‹ 140 - 36% open Β· ⏱️ 25.11.2024): ``` git clone https://github.com/vegafusion/vegafusion ``` -- [PyPi](https://pypi.org/project/vegafusion-jupyter) (πŸ“₯ 1.4K / month Β· πŸ“¦ 2 Β· ⏱️ 09.05.2024): +- [PyPi](https://pypi.org/project/vegafusion-jupyter) (πŸ“₯ 1.6K / month Β· πŸ“¦ 2 Β· ⏱️ 09.05.2024): ``` pip install vegafusion-jupyter ``` -- [Conda](https://anaconda.org/conda-forge/vegafusion-python-embed) (πŸ“₯ 300K Β· ⏱️ 31.10.2024): +- [Conda](https://anaconda.org/conda-forge/vegafusion-python-embed) (πŸ“₯ 310K Β· ⏱️ 31.10.2024): ``` conda install -c conda-forge vegafusion-python-embed ``` -- [npm](https://www.npmjs.com/package/vegafusion-jupyter) (πŸ“₯ 31 / month Β· πŸ“¦ 3 Β· ⏱️ 09.05.2024): +- [npm](https://www.npmjs.com/package/vegafusion-jupyter) (πŸ“₯ 130 / month Β· πŸ“¦ 3 Β· ⏱️ 09.05.2024): ``` npm install vegafusion-jupyter ``` @@ -1332,28 +1332,28 @@ _General-purpose and task-specific data visualization libraries._
animatplot (πŸ₯‰19 Β· ⭐ 410) - A python package for animating plots build on matplotlib. MIT -- [GitHub](https://github.com/t-makaro/animatplot) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 38 Β· πŸ“¦ 62 Β· πŸ“‹ 37 - 45% open Β· ⏱️ 29.08.2024): +- [GitHub](https://github.com/t-makaro/animatplot) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 38 Β· πŸ“¦ 63 Β· πŸ“‹ 37 - 45% open Β· ⏱️ 29.08.2024): ``` git clone https://github.com/t-makaro/animatplot ``` -- [PyPi](https://pypi.org/project/animatplot) (πŸ“₯ 460 / month Β· πŸ“¦ 4 Β· ⏱️ 29.08.2024): +- [PyPi](https://pypi.org/project/animatplot) (πŸ“₯ 450 / month Β· πŸ“¦ 4 Β· ⏱️ 29.08.2024): ``` pip install animatplot ``` -- [Conda](https://anaconda.org/conda-forge/animatplot) (πŸ“₯ 15K Β· ⏱️ 01.09.2024): +- [Conda](https://anaconda.org/conda-forge/animatplot) (πŸ“₯ 16K Β· ⏱️ 01.09.2024): ``` conda install -c conda-forge animatplot ```
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ivis (πŸ₯‰19 Β· ⭐ 330 Β· πŸ“‰) - Dimensionality reduction in very large datasets using Siamese.. Apache-2 +
ivis (πŸ₯‰19 Β· ⭐ 330) - Dimensionality reduction in very large datasets using Siamese.. Apache-2 - [GitHub](https://github.com/beringresearch/ivis) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 43 Β· πŸ“¦ 36 Β· πŸ“‹ 60 - 5% open Β· ⏱️ 29.09.2024): ``` git clone https://github.com/beringresearch/ivis ``` -- [PyPi](https://pypi.org/project/ivis) (πŸ“₯ 1.5K / month Β· πŸ“¦ 2 Β· ⏱️ 13.06.2024): +- [PyPi](https://pypi.org/project/ivis) (πŸ“₯ 1.4K / month Β· πŸ“¦ 2 Β· ⏱️ 13.06.2024): ``` pip install ivis ``` @@ -1364,12 +1364,12 @@ _General-purpose and task-specific data visualization libraries._ - Cufflinks (πŸ₯‰28 Β· ⭐ 3K Β· πŸ’€) - Productivity Tools for Plotly + Pandas. MIT - Facets Overview (πŸ₯‰27 Β· ⭐ 7.4K Β· πŸ’€) - Visualizations for machine learning datasets. Apache-2 - pythreejs (πŸ₯‰27 Β· ⭐ 960 Β· πŸ’€) - A Jupyter - Three.js bridge. BSD-3 -- Sweetviz (πŸ₯‰25 Β· ⭐ 3K Β· πŸ’€) - Visualize and compare datasets, target values and associations, with.. MIT +- Sweetviz (πŸ₯‰26 Β· ⭐ 3K Β· πŸ’€) - Visualize and compare datasets, target values and associations, with.. MIT - ridgeplot (πŸ₯‰25 Β· ⭐ 200) - Beautiful ridgeline plots in Python. MIT - HiPlot (πŸ₯‰24 Β· ⭐ 2.8K Β· πŸ’€) - HiPlot makes understanding high dimensional data easy. MIT - PandasGUI (πŸ₯‰23 Β· ⭐ 3.2K Β· πŸ’€) - A GUI for Pandas DataFrames. ❗️MIT-0 - Pandas-Bokeh (πŸ₯‰23 Β· ⭐ 880 Β· πŸ’€) - Bokeh Plotting Backend for Pandas and GeoPandas. MIT -- pivottablejs (πŸ₯‰22 Β· ⭐ 690 Β· πŸ’€) - Dragndrop Pivot Tables and Charts for Jupyter/IPython.. MIT +- pivottablejs (πŸ₯‰23 Β· ⭐ 690 Β· πŸ’€) - Dragndrop Pivot Tables and Charts for Jupyter/IPython.. MIT - joypy (πŸ₯‰21 Β· ⭐ 570 Β· πŸ’€) - Joyplots in Python with matplotlib & pandas. MIT - PDPbox (πŸ₯‰20 Β· ⭐ 850 Β· πŸ’€) - python partial dependence plot toolbox. MIT - Popmon (πŸ₯‰20 Β· ⭐ 500 Β· πŸ’€) - Monitor the stability of a Pandas or Spark dataframe. MIT @@ -1388,12 +1388,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
transformers (πŸ₯‡52 Β· ⭐ 140K) - Transformers: State-of-the-art Machine Learning for.. Apache-2 -- [GitHub](https://github.com/huggingface/transformers) (πŸ‘¨β€πŸ’» 3K Β· πŸ”€ 27K Β· πŸ“¦ 260K Β· πŸ“‹ 17K - 8% open Β· ⏱️ 02.01.2025): +- [GitHub](https://github.com/huggingface/transformers) (πŸ‘¨β€πŸ’» 3K Β· πŸ”€ 27K Β· πŸ“¦ 270K Β· πŸ“‹ 17K - 9% open Β· ⏱️ 09.01.2025): ``` git clone https://github.com/huggingface/transformers ``` -- [PyPi](https://pypi.org/project/transformers) (πŸ“₯ 43M / month Β· πŸ“¦ 7.1K Β· ⏱️ 17.12.2024): +- [PyPi](https://pypi.org/project/transformers) (πŸ“₯ 40M / month Β· πŸ“¦ 7.1K Β· ⏱️ 17.12.2024): ``` pip install transformers ``` @@ -1402,14 +1402,14 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge transformers ```
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spaCy (πŸ₯‡44 Β· ⭐ 31K Β· πŸ“‰) - Industrial-strength Natural Language Processing (NLP) in Python. MIT +
spaCy (πŸ₯‡43 Β· ⭐ 31K Β· πŸ“‰) - Industrial-strength Natural Language Processing (NLP) in Python. MIT -- [GitHub](https://github.com/explosion/spaCy) (πŸ‘¨β€πŸ’» 760 Β· πŸ”€ 4.4K Β· πŸ“₯ 1.2K Β· πŸ“¦ 110K Β· πŸ“‹ 5.7K - 2% open Β· ⏱️ 11.12.2024): +- [GitHub](https://github.com/explosion/spaCy) (πŸ‘¨β€πŸ’» 760 Β· πŸ”€ 4.4K Β· πŸ“₯ 1.3K Β· πŸ“¦ 110K Β· πŸ“‹ 5.7K - 2% open Β· ⏱️ 11.12.2024): ``` git clone https://github.com/explosion/spaCy ``` -- [PyPi](https://pypi.org/project/spacy) (πŸ“₯ 12M / month Β· πŸ“¦ 2.8K Β· ⏱️ 11.12.2024): +- [PyPi](https://pypi.org/project/spacy) (πŸ“₯ 11M / month Β· πŸ“¦ 2.8K Β· ⏱️ 11.12.2024): ``` pip install spacy ``` @@ -1420,56 +1420,56 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
litellm (πŸ₯‡43 Β· ⭐ 16K) - Python SDK, Proxy Server (LLM Gateway) to call 100+.. MIT o t h e r s -- [GitHub](https://github.com/BerriAI/litellm) (πŸ‘¨β€πŸ’» 370 Β· πŸ”€ 1.8K Β· πŸ“₯ 480 Β· πŸ“¦ 5.6K Β· πŸ“‹ 4.1K - 23% open Β· ⏱️ 02.01.2025): +- [GitHub](https://github.com/BerriAI/litellm) (πŸ‘¨β€πŸ’» 380 Β· πŸ”€ 1.9K Β· πŸ“₯ 480 Β· πŸ“¦ 5.9K Β· πŸ“‹ 4.1K - 24% open Β· ⏱️ 09.01.2025): ``` git clone https://github.com/BerriAI/litellm ``` -- [PyPi](https://pypi.org/project/litellm) (πŸ“₯ 2.8M / month Β· πŸ“¦ 660 Β· ⏱️ 02.01.2025): +- [PyPi](https://pypi.org/project/litellm) (πŸ“₯ 2.9M / month Β· πŸ“¦ 680 Β· ⏱️ 09.01.2025): ``` pip install litellm ```
nltk (πŸ₯‡42 Β· ⭐ 14K) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2 -- [GitHub](https://github.com/nltk/nltk) (πŸ‘¨β€πŸ’» 460 Β· πŸ”€ 2.9K Β· πŸ“¦ 330K Β· πŸ“‹ 1.8K - 14% open Β· ⏱️ 11.11.2024): +- [GitHub](https://github.com/nltk/nltk) (πŸ‘¨β€πŸ’» 460 Β· πŸ”€ 2.9K Β· πŸ“¦ 340K Β· πŸ“‹ 1.8K - 14% open Β· ⏱️ 11.11.2024): ``` git clone https://github.com/nltk/nltk ``` -- [PyPi](https://pypi.org/project/nltk) (πŸ“₯ 22M / month Β· πŸ“¦ 4.7K Β· ⏱️ 18.08.2024): +- [PyPi](https://pypi.org/project/nltk) (πŸ“₯ 21M / month Β· πŸ“¦ 4.7K Β· ⏱️ 18.08.2024): ``` pip install nltk ``` -- [Conda](https://anaconda.org/conda-forge/nltk) (πŸ“₯ 2.9M Β· ⏱️ 16.12.2024): +- [Conda](https://anaconda.org/conda-forge/nltk) (πŸ“₯ 3M Β· ⏱️ 16.12.2024): ``` conda install -c conda-forge nltk ```
sentence-transformers (πŸ₯‡41 Β· ⭐ 16K) - State-of-the-Art Text Embeddings. Apache-2 -- [GitHub](https://github.com/UKPLab/sentence-transformers) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 2.5K Β· πŸ“¦ 63K Β· πŸ“‹ 2.3K - 52% open Β· ⏱️ 23.12.2024): +- [GitHub](https://github.com/UKPLab/sentence-transformers) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 2.5K Β· πŸ“¦ 64K Β· πŸ“‹ 2.3K - 52% open Β· ⏱️ 06.01.2025): ``` git clone https://github.com/UKPLab/sentence-transformers ``` -- [PyPi](https://pypi.org/project/sentence-transformers) (πŸ“₯ 7.2M / month Β· πŸ“¦ 1.8K Β· ⏱️ 18.11.2024): +- [PyPi](https://pypi.org/project/sentence-transformers) (πŸ“₯ 7.1M / month Β· πŸ“¦ 1.8K Β· ⏱️ 18.11.2024): ``` pip install sentence-transformers ``` -- [Conda](https://anaconda.org/conda-forge/sentence-transformers) (πŸ“₯ 500K Β· ⏱️ 21.12.2024): +- [Conda](https://anaconda.org/conda-forge/sentence-transformers) (πŸ“₯ 510K Β· ⏱️ 21.12.2024): ``` conda install -c conda-forge sentence-transformers ```
flair (πŸ₯‡41 Β· ⭐ 14K) - A very simple framework for state-of-the-art Natural Language Processing.. MIT -- [GitHub](https://github.com/flairNLP/flair) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 2.1K Β· πŸ“¦ 3.7K Β· πŸ“‹ 2.3K - 4% open Β· ⏱️ 02.01.2025): +- [GitHub](https://github.com/flairNLP/flair) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 2.1K Β· πŸ“¦ 3.7K Β· πŸ“‹ 2.3K - 4% open Β· ⏱️ 07.01.2025): ``` git clone https://github.com/flairNLP/flair ``` -- [PyPi](https://pypi.org/project/flair) (πŸ“₯ 91K / month Β· πŸ“¦ 150 Β· ⏱️ 20.12.2024): +- [PyPi](https://pypi.org/project/flair) (πŸ“₯ 92K / month Β· πŸ“¦ 150 Β· ⏱️ 20.12.2024): ``` pip install flair ``` @@ -1480,12 +1480,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
Tokenizers (πŸ₯‡40 Β· ⭐ 9.2K) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2 -- [GitHub](https://github.com/huggingface/tokenizers) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 810 Β· πŸ“₯ 71 Β· πŸ“¦ 130K Β· πŸ“‹ 1K - 5% open Β· ⏱️ 31.12.2024): +- [GitHub](https://github.com/huggingface/tokenizers) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 810 Β· πŸ“₯ 71 Β· πŸ“¦ 130K Β· πŸ“‹ 1K - 5% open Β· ⏱️ 09.01.2025): ``` git clone https://github.com/huggingface/tokenizers ``` -- [PyPi](https://pypi.org/project/tokenizers) (πŸ“₯ 32M / month Β· πŸ“¦ 1.1K Β· ⏱️ 27.11.2024): +- [PyPi](https://pypi.org/project/tokenizers) (πŸ“₯ 30M / month Β· πŸ“¦ 1.1K Β· ⏱️ 27.11.2024): ``` pip install tokenizers ``` @@ -1496,7 +1496,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
gensim (πŸ₯‡38 Β· ⭐ 16K) - Topic Modelling for Humans. ❗️LGPL-2.1 -- [GitHub](https://github.com/piskvorky/gensim) (πŸ‘¨β€πŸ’» 460 Β· πŸ”€ 4.4K Β· πŸ“₯ 5.3K Β· πŸ“¦ 69K Β· πŸ“‹ 1.8K - 20% open Β· ⏱️ 05.12.2024): +- [GitHub](https://github.com/piskvorky/gensim) (πŸ‘¨β€πŸ’» 460 Β· πŸ”€ 4.4K Β· πŸ“₯ 5.5K Β· πŸ“¦ 69K Β· πŸ“‹ 1.8K - 20% open Β· ⏱️ 05.12.2024): ``` git clone https://github.com/RaRe-Technologies/gensim @@ -1512,7 +1512,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
Rasa (πŸ₯‡37 Β· ⭐ 19K) - Open source machine learning framework to automate text- and voice-.. Apache-2 -- [GitHub](https://github.com/RasaHQ/rasa) (πŸ‘¨β€πŸ’» 600 Β· πŸ”€ 4.7K Β· πŸ“¦ 4.7K Β· πŸ“‹ 6.8K - 1% open Β· ⏱️ 25.11.2024): +- [GitHub](https://github.com/RasaHQ/rasa) (πŸ‘¨β€πŸ’» 590 Β· πŸ”€ 4.7K Β· πŸ“¦ 4.7K Β· πŸ“‹ 6.8K - 1% open Β· ⏱️ 25.11.2024): ``` git clone https://github.com/RasaHQ/rasa @@ -1524,24 +1524,24 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
NeMo (πŸ₯‡37 Β· ⭐ 13K) - A scalable generative AI framework built for researchers and.. Apache-2 -- [GitHub](https://github.com/NVIDIA/NeMo) (πŸ‘¨β€πŸ’» 370 Β· πŸ”€ 2.6K Β· πŸ“₯ 290K Β· πŸ“¦ 21 Β· πŸ“‹ 2.4K - 5% open Β· ⏱️ 01.01.2025): +- [GitHub](https://github.com/NVIDIA/NeMo) (πŸ‘¨β€πŸ’» 370 Β· πŸ”€ 2.6K Β· πŸ“₯ 290K Β· πŸ“¦ 21 Β· πŸ“‹ 2.4K - 4% open Β· ⏱️ 09.01.2025): ``` git clone https://github.com/NVIDIA/NeMo ``` -- [PyPi](https://pypi.org/project/nemo-toolkit) (πŸ“₯ 110K / month Β· πŸ“¦ 13 Β· ⏱️ 21.12.2024): +- [PyPi](https://pypi.org/project/nemo-toolkit) (πŸ“₯ 110K / month Β· πŸ“¦ 14 Β· ⏱️ 03.01.2025): ``` pip install nemo-toolkit ```
sentencepiece (πŸ₯‡37 Β· ⭐ 10K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2 -- [GitHub](https://github.com/google/sentencepiece) (πŸ‘¨β€πŸ’» 89 Β· πŸ”€ 1.2K Β· πŸ“₯ 48K Β· πŸ“¦ 89K Β· πŸ“‹ 760 - 5% open Β· ⏱️ 18.08.2024): +- [GitHub](https://github.com/google/sentencepiece) (πŸ‘¨β€πŸ’» 89 Β· πŸ”€ 1.2K Β· πŸ“₯ 48K Β· πŸ“¦ 90K Β· πŸ“‹ 760 - 5% open Β· ⏱️ 18.08.2024): ``` git clone https://github.com/google/sentencepiece ``` -- [PyPi](https://pypi.org/project/sentencepiece) (πŸ“₯ 23M / month Β· πŸ“¦ 1.7K Β· ⏱️ 19.02.2024): +- [PyPi](https://pypi.org/project/sentencepiece) (πŸ“₯ 19M / month Β· πŸ“¦ 1.7K Β· ⏱️ 19.02.2024): ``` pip install sentencepiece ``` @@ -1552,7 +1552,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
fairseq (πŸ₯ˆ36 Β· ⭐ 31K) - Facebook AI Research Sequence-to-Sequence Toolkit written in Python. MIT -- [GitHub](https://github.com/facebookresearch/fairseq) (πŸ‘¨β€πŸ’» 430 Β· πŸ”€ 6.4K Β· πŸ“₯ 370 Β· πŸ“¦ 3.8K Β· πŸ“‹ 4.3K - 29% open Β· ⏱️ 18.10.2024): +- [GitHub](https://github.com/facebookresearch/fairseq) (πŸ‘¨β€πŸ’» 430 Β· πŸ”€ 6.4K Β· πŸ“₯ 370 Β· πŸ“¦ 3.9K Β· πŸ“‹ 4.3K - 29% open Β· ⏱️ 18.10.2024): ``` git clone https://github.com/facebookresearch/fairseq @@ -1566,14 +1566,26 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge fairseq ```
+
ChatterBot (πŸ₯ˆ36 Β· ⭐ 14K Β· πŸ“ˆ) - ChatterBot is a machine learning, conversational dialog engine.. BSD-3 + +- [GitHub](https://github.com/gunthercox/ChatterBot) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 4.4K Β· πŸ“¦ 6.1K Β· πŸ“‹ 1.7K - 24% open Β· ⏱️ 05.01.2025): + + ``` + git clone https://github.com/gunthercox/ChatterBot + ``` +- [PyPi](https://pypi.org/project/chatterbot) (πŸ“₯ 25K / month Β· πŸ“¦ 18 Β· ⏱️ 22.08.2020): + ``` + pip install chatterbot + ``` +
TextBlob (πŸ₯ˆ36 Β· ⭐ 9.2K) - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech.. MIT -- [GitHub](https://github.com/sloria/TextBlob) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 1.2K Β· πŸ“₯ 120 Β· πŸ“¦ 47K Β· πŸ“‹ 280 - 39% open Β· ⏱️ 07.08.2024): +- [GitHub](https://github.com/sloria/TextBlob) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 1.2K Β· πŸ“₯ 120 Β· πŸ“¦ 48K Β· πŸ“‹ 280 - 39% open Β· ⏱️ 07.08.2024): ``` git clone https://github.com/sloria/TextBlob ``` -- [PyPi](https://pypi.org/project/textblob) (πŸ“₯ 1.2M / month Β· πŸ“¦ 390 Β· ⏱️ 15.02.2024): +- [PyPi](https://pypi.org/project/textblob) (πŸ“₯ 1.1M / month Β· πŸ“¦ 390 Β· ⏱️ 15.02.2024): ``` pip install textblob ``` @@ -1584,19 +1596,19 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
TensorFlow Text (πŸ₯ˆ36 Β· ⭐ 1.2K) - Making text a first-class citizen in TensorFlow. Apache-2 -- [GitHub](https://github.com/tensorflow/text) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 350 Β· πŸ“¦ 7.8K Β· πŸ“‹ 360 - 52% open Β· ⏱️ 18.12.2024): +- [GitHub](https://github.com/tensorflow/text) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 350 Β· πŸ“¦ 7.8K Β· πŸ“‹ 360 - 52% open Β· ⏱️ 08.01.2025): ``` git clone https://github.com/tensorflow/text ``` -- [PyPi](https://pypi.org/project/tensorflow-text) (πŸ“₯ 8.7M / month Β· πŸ“¦ 220 Β· ⏱️ 16.12.2024): +- [PyPi](https://pypi.org/project/tensorflow-text) (πŸ“₯ 6.1M / month Β· πŸ“¦ 220 Β· ⏱️ 16.12.2024): ``` pip install tensorflow-text ```
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haystack (πŸ₯ˆ35 Β· ⭐ 18K) - AI orchestration framework to build customizable, production-ready.. Apache-2 +
haystack (πŸ₯ˆ35 Β· ⭐ 19K) - AI orchestration framework to build customizable, production-ready.. Apache-2 -- [GitHub](https://github.com/deepset-ai/haystack) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 2K Β· πŸ“¦ 720 Β· πŸ“‹ 3.6K - 3% open Β· ⏱️ 02.01.2025): +- [GitHub](https://github.com/deepset-ai/haystack) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 2K Β· πŸ“¦ 740 Β· πŸ“‹ 3.6K - 3% open Β· ⏱️ 09.01.2025): ``` git clone https://github.com/deepset-ai/haystack @@ -1608,7 +1620,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
spark-nlp (πŸ₯ˆ35 Β· ⭐ 3.9K) - State of the Art Natural Language Processing. Apache-2 -- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 720 Β· πŸ“¦ 530 Β· πŸ“‹ 900 - 3% open Β· ⏱️ 20.12.2024): +- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 720 Β· πŸ“¦ 540 Β· πŸ“‹ 900 - 3% open Β· ⏱️ 20.12.2024): ``` git clone https://github.com/JohnSnowLabs/spark-nlp @@ -1620,7 +1632,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
fastText (πŸ₯ˆ34 Β· ⭐ 26K Β· πŸ’€) - Library for fast text representation and classification. MIT -- [GitHub](https://github.com/facebookresearch/fastText) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 4.7K Β· πŸ“¦ 7K Β· πŸ“‹ 1.2K - 47% open Β· ⏱️ 13.03.2024): +- [GitHub](https://github.com/facebookresearch/fastText) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 4.7K Β· πŸ“¦ 7.1K Β· πŸ“‹ 1.2K - 47% open Β· ⏱️ 13.03.2024): ``` git clone https://github.com/facebookresearch/fastText @@ -1650,14 +1662,14 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c stanfordnlp stanza ```
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jellyfish (πŸ₯ˆ34 Β· ⭐ 2.1K Β· πŸ“ˆ) - a python library for doing approximate and phonetic matching of.. MIT +
jellyfish (πŸ₯ˆ34 Β· ⭐ 2.1K) - a python library for doing approximate and phonetic matching of strings. MIT - [GitHub](https://github.com/jamesturk/jellyfish) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 160 Β· πŸ“¦ 12K Β· πŸ“‹ 140 - 4% open Β· ⏱️ 31.12.2024): ``` git clone https://github.com/jamesturk/jellyfish ``` -- [PyPi](https://pypi.org/project/jellyfish) (πŸ“₯ 6.4M / month Β· πŸ“¦ 280 Β· ⏱️ 14.12.2024): +- [PyPi](https://pypi.org/project/jellyfish) (πŸ“₯ 6.8M / month Β· πŸ“¦ 280 Β· ⏱️ 14.12.2024): ``` pip install jellyfish ``` @@ -1668,12 +1680,24 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
qdrant (πŸ₯ˆ33 Β· ⭐ 21K) - Qdrant - High-performance, massive-scale Vector Database and Vector.. Apache-2 -- [GitHub](https://github.com/qdrant/qdrant) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.4K Β· πŸ“₯ 270K Β· πŸ“¦ 120 Β· πŸ“‹ 1.4K - 25% open Β· ⏱️ 09.12.2024): +- [GitHub](https://github.com/qdrant/qdrant) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.4K Β· πŸ“₯ 270K Β· πŸ“¦ 120 Β· πŸ“‹ 1.4K - 25% open Β· ⏱️ 08.01.2025): ``` git clone https://github.com/qdrant/qdrant ```
+
OpenNMT (πŸ₯ˆ33 Β· ⭐ 6.8K Β· πŸ’€) - Open Source Neural Machine Translation and (Large) Language.. MIT + +- [GitHub](https://github.com/OpenNMT/OpenNMT-py) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 2.2K Β· πŸ“¦ 300 Β· πŸ“‹ 1.5K - 1% open Β· ⏱️ 27.06.2024): + + ``` + git clone https://github.com/OpenNMT/OpenNMT-py + ``` +- [PyPi](https://pypi.org/project/OpenNMT-py) (πŸ“₯ 12K / month Β· πŸ“¦ 23 Β· ⏱️ 18.03.2024): + ``` + pip install OpenNMT-py + ``` +
rubrix (πŸ₯ˆ33 Β· ⭐ 4.2K) - Argilla is a collaboration tool for AI engineers and domain experts.. Apache-2 - [GitHub](https://github.com/argilla-io/argilla) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 390 Β· πŸ“¦ 2.9K Β· πŸ“‹ 2.2K - 4% open Β· ⏱️ 20.12.2024): @@ -1681,7 +1705,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/recognai/rubrix ``` -- [PyPi](https://pypi.org/project/rubrix) (πŸ“₯ 1.8K / month Β· ⏱️ 24.10.2022): +- [PyPi](https://pypi.org/project/rubrix) (πŸ“₯ 1.2K / month Β· ⏱️ 24.10.2022): ``` pip install rubrix ``` @@ -1692,12 +1716,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
ftfy (πŸ₯ˆ33 Β· ⭐ 3.8K) - Fixes mojibake and other glitches in Unicode text, after the fact. Apache-2 -- [GitHub](https://github.com/rspeer/python-ftfy) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 120 Β· πŸ“₯ 28 Β· πŸ“¦ 26K Β· πŸ“‹ 140 - 5% open Β· ⏱️ 30.10.2024): +- [GitHub](https://github.com/rspeer/python-ftfy) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 120 Β· πŸ“₯ 29 Β· πŸ“¦ 26K Β· πŸ“‹ 140 - 6% open Β· ⏱️ 30.10.2024): ``` git clone https://github.com/rspeer/python-ftfy ``` -- [PyPi](https://pypi.org/project/ftfy) (πŸ“₯ 4.1M / month Β· πŸ“¦ 570 Β· ⏱️ 26.10.2024): +- [PyPi](https://pypi.org/project/ftfy) (πŸ“₯ 4M / month Β· πŸ“¦ 570 Β· ⏱️ 26.10.2024): ``` pip install ftfy ``` @@ -1713,33 +1737,37 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/pytorch/text ``` -- [PyPi](https://pypi.org/project/torchtext) (πŸ“₯ 930K / month Β· πŸ“¦ 280 Β· ⏱️ 24.04.2024): +- [PyPi](https://pypi.org/project/torchtext) (πŸ“₯ 900K / month Β· πŸ“¦ 280 Β· ⏱️ 24.04.2024): ``` pip install torchtext ```
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OpenNMT (πŸ₯ˆ32 Β· ⭐ 6.8K Β· πŸ’€) - Open Source Neural Machine Translation and (Large) Language.. MIT +
DeepPavlov (πŸ₯ˆ31 Β· ⭐ 6.8K) - An open source library for deep learning end-to-end dialog.. Apache-2 -- [GitHub](https://github.com/OpenNMT/OpenNMT-py) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 2.2K Β· πŸ“¦ 300 Β· πŸ“‹ 1.5K - 1% open Β· ⏱️ 27.06.2024): +- [GitHub](https://github.com/deeppavlov/DeepPavlov) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 1.2K Β· πŸ“¦ 420 Β· πŸ“‹ 640 - 4% open Β· ⏱️ 26.11.2024): ``` - git clone https://github.com/OpenNMT/OpenNMT-py + git clone https://github.com/deepmipt/DeepPavlov ``` -- [PyPi](https://pypi.org/project/OpenNMT-py) (πŸ“₯ 13K / month Β· πŸ“¦ 23 Β· ⏱️ 18.03.2024): +- [PyPi](https://pypi.org/project/deeppavlov) (πŸ“₯ 10K / month Β· πŸ“¦ 4 Β· ⏱️ 12.08.2024): ``` - pip install OpenNMT-py + pip install deeppavlov ```
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DeepPavlov (πŸ₯ˆ31 Β· ⭐ 6.8K) - An open source library for deep learning end-to-end dialog.. Apache-2 +
snowballstemmer (πŸ₯ˆ31 Β· ⭐ 770 Β· πŸ“ˆ) - Snowball compiler and stemming algorithms. BSD-3 -- [GitHub](https://github.com/deeppavlov/DeepPavlov) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 1.2K Β· πŸ“¦ 420 Β· πŸ“‹ 640 - 4% open Β· ⏱️ 26.11.2024): +- [GitHub](https://github.com/snowballstem/snowball) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 170 Β· πŸ“¦ 10 Β· πŸ“‹ 91 - 27% open Β· ⏱️ 08.01.2025): ``` - git clone https://github.com/deepmipt/DeepPavlov + git clone https://github.com/snowballstem/snowball ``` -- [PyPi](https://pypi.org/project/deeppavlov) (πŸ“₯ 11K / month Β· πŸ“¦ 4 Β· ⏱️ 12.08.2024): +- [PyPi](https://pypi.org/project/snowballstemmer) (πŸ“₯ 13M / month Β· πŸ“¦ 450 Β· ⏱️ 16.11.2021): ``` - pip install deeppavlov + pip install snowballstemmer + ``` +- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (πŸ“₯ 9.1M Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge snowballstemmer ```
Dedupe (πŸ₯ˆ30 Β· ⭐ 4.2K) - A python library for accurate and scalable fuzzy matching, record.. MIT @@ -1749,11 +1777,11 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/dedupeio/dedupe ``` -- [PyPi](https://pypi.org/project/dedupe) (πŸ“₯ 93K / month Β· πŸ“¦ 19 Β· ⏱️ 15.08.2024): +- [PyPi](https://pypi.org/project/dedupe) (πŸ“₯ 90K / month Β· πŸ“¦ 19 Β· ⏱️ 15.08.2024): ``` pip install dedupe ``` -- [Conda](https://anaconda.org/conda-forge/dedupe) (πŸ“₯ 89K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/dedupe) (πŸ“₯ 90K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge dedupe ``` @@ -1765,126 +1793,110 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/allenai/scispacy ``` -- [PyPi](https://pypi.org/project/scispacy) (πŸ“₯ 19K / month Β· πŸ“¦ 34 Β· ⏱️ 27.10.2024): +- [PyPi](https://pypi.org/project/scispacy) (πŸ“₯ 20K / month Β· πŸ“¦ 34 Β· ⏱️ 27.10.2024): ``` pip install scispacy ```
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spacy-transformers (πŸ₯ˆ29 Β· ⭐ 1.4K Β· πŸ’€) - Use pretrained transformers like BERT, XLNet and.. MIT spacy +
Sumy (πŸ₯ˆ29 Β· ⭐ 3.5K Β· πŸ’€) - Module for automatic summarization of text documents and HTML pages. Apache-2 -- [GitHub](https://github.com/explosion/spacy-transformers) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 170 Β· πŸ“¦ 2K Β· ⏱️ 05.06.2024): +- [GitHub](https://github.com/miso-belica/sumy) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 530 Β· πŸ“¦ 3.4K Β· πŸ“‹ 120 - 18% open Β· ⏱️ 16.05.2024): ``` - git clone https://github.com/explosion/spacy-transformers + git clone https://github.com/miso-belica/sumy ``` -- [PyPi](https://pypi.org/project/spacy-transformers) (πŸ“₯ 210K / month Β· πŸ“¦ 87 Β· ⏱️ 25.04.2024): +- [PyPi](https://pypi.org/project/sumy) (πŸ“₯ 100K / month Β· πŸ“¦ 31 Β· ⏱️ 23.10.2022): ``` - pip install spacy-transformers + pip install sumy ``` -- [Conda](https://anaconda.org/conda-forge/spacy-transformers) (πŸ“₯ 81K Β· ⏱️ 11.12.2024): +- [Conda](https://anaconda.org/conda-forge/sumy) (πŸ“₯ 10K Β· ⏱️ 03.01.2025): ``` - conda install -c conda-forge spacy-transformers + conda install -c conda-forge sumy ```
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snowballstemmer (πŸ₯ˆ29 Β· ⭐ 770) - Snowball compiler and stemming algorithms. BSD-3 +
TextDistance (πŸ₯ˆ29 Β· ⭐ 3.4K) - Compute distance between sequences. 30+ algorithms, pure python.. MIT -- [GitHub](https://github.com/snowballstem/snowball) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 170 Β· πŸ“¦ 10 Β· πŸ“‹ 90 - 27% open Β· ⏱️ 20.11.2024): +- [GitHub](https://github.com/life4/textdistance) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 250 Β· πŸ“₯ 1.1K Β· πŸ“¦ 7.7K Β· ⏱️ 09.09.2024): ``` - git clone https://github.com/snowballstem/snowball + git clone https://github.com/life4/textdistance ``` -- [PyPi](https://pypi.org/project/snowballstemmer) (πŸ“₯ 13M / month Β· πŸ“¦ 450 Β· ⏱️ 16.11.2021): +- [PyPi](https://pypi.org/project/textdistance) (πŸ“₯ 720K / month Β· πŸ“¦ 99 Β· ⏱️ 16.07.2024): ``` - pip install snowballstemmer + pip install textdistance ``` -- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (πŸ“₯ 9M Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/textdistance) (πŸ“₯ 700K Β· ⏱️ 05.01.2025): ``` - conda install -c conda-forge snowballstemmer + conda install -c conda-forge textdistance ```
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Sumy (πŸ₯ˆ28 Β· ⭐ 3.5K Β· πŸ’€) - Module for automatic summarization of text documents and HTML pages. Apache-2 +
spacy-transformers (πŸ₯ˆ29 Β· ⭐ 1.4K Β· πŸ’€) - Use pretrained transformers like BERT, XLNet and.. MIT spacy -- [GitHub](https://github.com/miso-belica/sumy) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 530 Β· πŸ“¦ 3.4K Β· πŸ“‹ 120 - 18% open Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/explosion/spacy-transformers) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 170 Β· πŸ“¦ 2K Β· ⏱️ 05.06.2024): ``` - git clone https://github.com/miso-belica/sumy + git clone https://github.com/explosion/spacy-transformers ``` -- [PyPi](https://pypi.org/project/sumy) (πŸ“₯ 110K / month Β· πŸ“¦ 31 Β· ⏱️ 23.10.2022): +- [PyPi](https://pypi.org/project/spacy-transformers) (πŸ“₯ 200K / month Β· πŸ“¦ 87 Β· ⏱️ 25.04.2024): ``` - pip install sumy + pip install spacy-transformers ``` -- [Conda](https://anaconda.org/conda-forge/sumy) (πŸ“₯ 10K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/spacy-transformers) (πŸ“₯ 82K Β· ⏱️ 11.12.2024): ``` - conda install -c conda-forge sumy + conda install -c conda-forge spacy-transformers ```
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TextDistance (πŸ₯ˆ28 Β· ⭐ 3.4K) - Compute distance between sequences. 30+ algorithms, pure python.. MIT +
CLTK (πŸ₯ˆ28 Β· ⭐ 840) - The Classical Language Toolkit. MIT -- [GitHub](https://github.com/life4/textdistance) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 250 Β· πŸ“₯ 1.1K Β· πŸ“¦ 7.6K Β· ⏱️ 09.09.2024): +- [GitHub](https://github.com/cltk/cltk) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 330 Β· πŸ“₯ 110 Β· πŸ“¦ 280 Β· πŸ“‹ 580 - 6% open Β· ⏱️ 01.12.2024): ``` - git clone https://github.com/life4/textdistance - ``` -- [PyPi](https://pypi.org/project/textdistance) (πŸ“₯ 700K / month Β· πŸ“¦ 99 Β· ⏱️ 16.07.2024): - ``` - pip install textdistance + git clone https://github.com/cltk/cltk ``` -- [Conda](https://anaconda.org/conda-forge/textdistance) (πŸ“₯ 700K Β· ⏱️ 17.07.2024): +- [PyPi](https://pypi.org/project/cltk) (πŸ“₯ 5.7K / month Β· πŸ“¦ 17 Β· ⏱️ 01.12.2024): ``` - conda install -c conda-forge textdistance + pip install cltk ```
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CLTK (πŸ₯ˆ28 Β· ⭐ 840) - The Classical Language Toolkit. MIT +
english-words (πŸ₯‰27 Β· ⭐ 11K) - A text file containing 479k English words for all your.. Unlicense -- [GitHub](https://github.com/cltk/cltk) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 330 Β· πŸ“₯ 110 Β· πŸ“¦ 280 Β· πŸ“‹ 580 - 6% open Β· ⏱️ 01.12.2024): +- [GitHub](https://github.com/dwyl/english-words) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 1.8K Β· πŸ“¦ 2 Β· πŸ“‹ 150 - 73% open Β· ⏱️ 06.01.2025): ``` - git clone https://github.com/cltk/cltk + git clone https://github.com/dwyl/english-words ``` -- [PyPi](https://pypi.org/project/cltk) (πŸ“₯ 5.5K / month Β· πŸ“¦ 17 Β· ⏱️ 01.12.2024): +- [PyPi](https://pypi.org/project/english-words) (πŸ“₯ 26K / month Β· πŸ“¦ 14 Β· ⏱️ 24.05.2023): ``` - pip install cltk + pip install english-words ```
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Opik (πŸ₯‰27 Β· ⭐ 3.9K) - From RAG chatbots to code assistants to complex agentic pipelines and.. Apache-2 +
Opik (πŸ₯‰27 Β· ⭐ 4.1K) - From RAG chatbots to code assistants to complex agentic pipelines and.. Apache-2 -- [GitHub](https://github.com/comet-ml/opik) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 220 Β· πŸ“‹ 110 - 21% open Β· ⏱️ 02.01.2025): +- [GitHub](https://github.com/comet-ml/opik) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 240 Β· πŸ“‹ 120 - 24% open Β· ⏱️ 08.01.2025): ``` git clone https://github.com/comet-ml/opik ``` -- [PyPi](https://pypi.org/project/opik) (πŸ“₯ 12K / month Β· πŸ“¦ 1 Β· ⏱️ 30.12.2024): +- [PyPi](https://pypi.org/project/opik) (πŸ“₯ 13K / month Β· πŸ“¦ 2 Β· ⏱️ 08.01.2025): ``` pip install opik ```
DeepKE (πŸ₯‰27 Β· ⭐ 3.7K) - [EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and.. MIT -- [GitHub](https://github.com/zjunlp/DeepKE) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 690 Β· πŸ“¦ 24 Β· πŸ“‹ 590 - 1% open Β· ⏱️ 30.12.2024): +- [GitHub](https://github.com/zjunlp/DeepKE) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 690 Β· πŸ“¦ 24 Β· πŸ“‹ 590 - 1% open Β· ⏱️ 04.01.2025): ``` git clone https://github.com/zjunlp/deepke ``` -- [PyPi](https://pypi.org/project/deepke) (πŸ“₯ 2.2K / month Β· ⏱️ 21.09.2023): +- [PyPi](https://pypi.org/project/deepke) (πŸ“₯ 2K / month Β· ⏱️ 21.09.2023): ``` pip install deepke ```
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english-words (πŸ₯‰26 Β· ⭐ 11K) - A text file containing 479k English words for all your.. Unlicense - -- [GitHub](https://github.com/dwyl/english-words) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 1.8K Β· πŸ“¦ 2 Β· πŸ“‹ 150 - 73% open Β· ⏱️ 11.12.2024): - - ``` - git clone https://github.com/dwyl/english-words - ``` -- [PyPi](https://pypi.org/project/english-words) (πŸ“₯ 27K / month Β· πŸ“¦ 14 Β· ⏱️ 24.05.2023): - ``` - pip install english-words - ``` -
scattertext (πŸ₯‰26 Β· ⭐ 2.3K) - Beautiful visualizations of how language differs among document.. Apache-2 -- [GitHub](https://github.com/JasonKessler/scattertext) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 290 Β· πŸ“¦ 640 Β· πŸ“‹ 100 - 21% open Β· ⏱️ 23.09.2024): +- [GitHub](https://github.com/JasonKessler/scattertext) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 290 Β· πŸ“¦ 650 Β· πŸ“‹ 100 - 21% open Β· ⏱️ 23.09.2024): ``` git clone https://github.com/JasonKessler/scattertext @@ -1900,12 +1912,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
PyTextRank (πŸ₯‰26 Β· ⭐ 2.2K Β· πŸ’€) - Python implementation of TextRank algorithms (textgraphs) for.. MIT -- [GitHub](https://github.com/DerwenAI/pytextrank) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 340 Β· πŸ“¦ 770 Β· πŸ“‹ 100 - 12% open Β· ⏱️ 21.05.2024): +- [GitHub](https://github.com/DerwenAI/pytextrank) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 340 Β· πŸ“¦ 780 Β· πŸ“‹ 100 - 12% open Β· ⏱️ 21.05.2024): ``` git clone https://github.com/DerwenAI/pytextrank ``` -- [PyPi](https://pypi.org/project/pytextrank) (πŸ“₯ 65K / month Β· πŸ“¦ 19 Β· ⏱️ 21.02.2024): +- [PyPi](https://pypi.org/project/pytextrank) (πŸ“₯ 63K / month Β· πŸ“¦ 19 Β· ⏱️ 21.02.2024): ``` pip install pytextrank ``` @@ -1922,14 +1934,14 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we pip install t5 ```
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detoxify (πŸ₯‰23 Β· ⭐ 980) - Trained models & code to predict toxic comments on all 3 Jigsaw.. Apache-2 +
detoxify (πŸ₯‰23 Β· ⭐ 990) - Trained models & code to predict toxic comments on all 3 Jigsaw.. Apache-2 -- [GitHub](https://github.com/unitaryai/detoxify) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 120 Β· πŸ“₯ 790K Β· πŸ“¦ 760 Β· πŸ“‹ 66 - 56% open Β· ⏱️ 23.12.2024): +- [GitHub](https://github.com/unitaryai/detoxify) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 120 Β· πŸ“₯ 800K Β· πŸ“¦ 760 Β· πŸ“‹ 66 - 56% open Β· ⏱️ 04.01.2025): ``` git clone https://github.com/unitaryai/detoxify ``` -- [PyPi](https://pypi.org/project/detoxify) (πŸ“₯ 28K / month Β· πŸ“¦ 30 Β· ⏱️ 01.02.2024): +- [PyPi](https://pypi.org/project/detoxify) (πŸ“₯ 26K / month Β· πŸ“¦ 30 Β· ⏱️ 01.02.2024): ``` pip install detoxify ``` @@ -1941,23 +1953,11 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/utterworks/fast-bert ``` -- [PyPi](https://pypi.org/project/fast-bert) (πŸ“₯ 2.2K / month Β· ⏱️ 19.08.2024): +- [PyPi](https://pypi.org/project/fast-bert) (πŸ“₯ 2.1K / month Β· ⏱️ 19.08.2024): ``` pip install fast-bert ```
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finetune (πŸ₯‰22 Β· ⭐ 710) - Scikit-learn style model finetuning for NLP. MPL-2.0 - -- [GitHub](https://github.com/IndicoDataSolutions/finetune) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 79 Β· πŸ“¦ 13 Β· πŸ“‹ 140 - 15% open Β· ⏱️ 23.07.2024): - - ``` - git clone https://github.com/IndicoDataSolutions/finetune - ``` -- [PyPi](https://pypi.org/project/finetune) (πŸ“₯ 700 / month Β· πŸ“¦ 2 Β· ⏱️ 29.09.2023): - ``` - pip install finetune - ``` -
happy-transformer (πŸ₯‰22 Β· ⭐ 530 Β· πŸ’€) - Happy Transformer makes it easy to fine-tune and.. Apache-2 huggingface - [GitHub](https://github.com/EricFillion/happy-transformer) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 68 Β· πŸ“¦ 300 Β· πŸ“‹ 130 - 16% open Β· ⏱️ 19.03.2024): @@ -1977,35 +1977,47 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/awslabs/sockeye ``` -- [PyPi](https://pypi.org/project/sockeye) (πŸ“₯ 1.7K / month Β· ⏱️ 03.03.2023): +- [PyPi](https://pypi.org/project/sockeye) (πŸ“₯ 1.6K / month Β· ⏱️ 03.03.2023): ``` pip install sockeye ```
+
finetune (πŸ₯‰21 Β· ⭐ 710) - Scikit-learn style model finetuning for NLP. MPL-2.0 + +- [GitHub](https://github.com/IndicoDataSolutions/finetune) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 79 Β· πŸ“¦ 13 Β· πŸ“‹ 140 - 15% open Β· ⏱️ 03.01.2025): + + ``` + git clone https://github.com/IndicoDataSolutions/finetune + ``` +- [PyPi](https://pypi.org/project/finetune) (πŸ“₯ 770 / month Β· πŸ“¦ 2 Β· ⏱️ 29.09.2023): + ``` + pip install finetune + ``` +
small-text (πŸ₯‰21 Β· ⭐ 600) - Active Learning for Text Classification in Python. MIT -- [GitHub](https://github.com/webis-de/small-text) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 66 Β· πŸ“¦ 33 Β· πŸ“‹ 62 - 24% open Β· ⏱️ 24.11.2024): +- [GitHub](https://github.com/webis-de/small-text) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 66 Β· πŸ“¦ 33 Β· πŸ“‹ 62 - 24% open Β· ⏱️ 01.01.2025): ``` git clone https://github.com/webis-de/small-text ``` -- [PyPi](https://pypi.org/project/small-text) (πŸ“₯ 630 / month Β· ⏱️ 24.11.2024): +- [PyPi](https://pypi.org/project/small-text) (πŸ“₯ 590 / month Β· ⏱️ 24.11.2024): ``` pip install small-text ``` -- [Conda](https://anaconda.org/conda-forge/small-text) (πŸ“₯ 11K Β· ⏱️ 18.08.2024): +- [Conda](https://anaconda.org/conda-forge/small-text) (πŸ“₯ 11K Β· ⏱️ 05.01.2025): ``` conda install -c conda-forge small-text ```
UForm (πŸ₯‰19 Β· ⭐ 1.1K) - Pocket-Sized Multimodal AI for content understanding and.. Apache-2 -- [GitHub](https://github.com/unum-cloud/uform) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 63 Β· πŸ“₯ 510 Β· πŸ“¦ 6 Β· πŸ“‹ 31 - 29% open Β· ⏱️ 20.12.2024): +- [GitHub](https://github.com/unum-cloud/uform) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 63 Β· πŸ“₯ 520 Β· πŸ“¦ 6 Β· πŸ“‹ 32 - 31% open Β· ⏱️ 03.01.2025): ``` git clone https://github.com/unum-cloud/uform ``` -- [PyPi](https://pypi.org/project/uform) (πŸ“₯ 950 / month Β· πŸ“¦ 2 Β· ⏱️ 20.12.2024): +- [PyPi](https://pypi.org/project/uform) (πŸ“₯ 1K / month Β· πŸ“¦ 2 Β· ⏱️ 03.01.2025): ``` pip install uform ``` @@ -2025,33 +2037,32 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/facebookresearch/vizseq ``` -- [PyPi](https://pypi.org/project/vizseq) (πŸ“₯ 180 / month Β· ⏱️ 07.08.2020): +- [PyPi](https://pypi.org/project/vizseq) (πŸ“₯ 220 / month Β· ⏱️ 07.08.2020): ``` pip install vizseq ```
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Show 56 hidden projects... +
Show 55 hidden projects... - AllenNLP (πŸ₯ˆ35 Β· ⭐ 12K Β· πŸ’€) - An open-source NLP research library, built on PyTorch. Apache-2 -- ChatterBot (πŸ₯ˆ34 Β· ⭐ 14K Β· πŸ’€) - ChatterBot is a machine learning, conversational dialog engine.. BSD-3 -- ParlAI (πŸ₯ˆ32 Β· ⭐ 11K Β· πŸ’€) - A framework for training and evaluating AI models on a variety of.. MIT +- ParlAI (πŸ₯ˆ32 Β· ⭐ 10K Β· πŸ’€) - A framework for training and evaluating AI models on a variety of.. MIT - fuzzywuzzy (πŸ₯ˆ32 Β· ⭐ 9.2K Β· πŸ’€) - Fuzzy String Matching in Python. ❗️GPL-2.0 - nlpaug (πŸ₯ˆ30 Β· ⭐ 4.5K Β· πŸ’€) - Data augmentation for NLP. MIT - GluonNLP (πŸ₯ˆ29 Β· ⭐ 2.6K Β· πŸ’€) - Toolkit that enables easy text preprocessing, datasets.. Apache-2 - vaderSentiment (πŸ₯ˆ28 Β· ⭐ 4.5K Β· πŸ’€) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary.. MIT - fastNLP (πŸ₯ˆ28 Β· ⭐ 3.1K Β· πŸ’€) - fastNLP: A Modularized and Extensible NLP Framework. Currently.. Apache-2 - langid (πŸ₯ˆ28 Β· ⭐ 2.3K Β· πŸ’€) - Stand-alone language identification system. BSD-3 -- Ciphey (πŸ₯‰27 Β· ⭐ 18K Β· πŸ’€) - Automatically decrypt encryptions without knowing the key or cipher,.. MIT +- Ciphey (πŸ₯‰27 Β· ⭐ 19K Β· πŸ’€) - Automatically decrypt encryptions without knowing the key or cipher,.. MIT - textacy (πŸ₯‰27 Β· ⭐ 2.2K Β· πŸ’€) - NLP, before and after spaCy. ❗Unlicensed - FARM (πŸ₯‰27 Β· ⭐ 1.7K Β· πŸ’€) - Fast & easy transfer learning for NLP. Harvesting language.. Apache-2 -- pySBD (πŸ₯‰27 Β· ⭐ 820 Β· πŸ’€) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. MIT +- pySBD (πŸ₯‰27 Β· ⭐ 830 Β· πŸ’€) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. MIT - flashtext (πŸ₯‰26 Β· ⭐ 5.6K Β· πŸ’€) - Extract Keywords from sentence or Replace keywords in sentences. MIT - polyglot (πŸ₯‰26 Β· ⭐ 2.3K Β· πŸ’€) - Multilingual text (NLP) processing toolkit. ❗️GPL-3.0 -- underthesea (πŸ₯‰26 Β· ⭐ 1.4K) - Underthesea - Vietnamese NLP Toolkit. ❗️GPL-3.0 - PyText (πŸ₯‰25 Β· ⭐ 6.3K Β· πŸ’€) - A natural language modeling framework based on PyTorch. BSD-3 - OpenPrompt (πŸ₯‰25 Β· ⭐ 4.4K Β· πŸ’€) - An Open-Source Framework for Prompt-Learning. Apache-2 - Snips NLU (πŸ₯‰25 Β· ⭐ 3.9K Β· πŸ’€) - Snips Python library to extract meaning from text. Apache-2 - neuralcoref (πŸ₯‰25 Β· ⭐ 2.9K Β· πŸ’€) - Fast Coreference Resolution in spaCy with Neural Networks. MIT +- underthesea (πŸ₯‰25 Β· ⭐ 1.4K) - Underthesea - Vietnamese NLP Toolkit. ❗️GPL-3.0 - textgenrnn (πŸ₯‰24 Β· ⭐ 4.9K Β· πŸ’€) - Easily train your own text-generating neural network of any.. MIT - MatchZoo (πŸ₯‰24 Β· ⭐ 3.8K Β· πŸ’€) - Facilitating the design, comparison and sharing of deep.. Apache-2 - promptsource (πŸ₯‰24 Β· ⭐ 2.7K Β· πŸ’€) - Toolkit for creating, sharing and using natural language.. Apache-2 @@ -2099,7 +2110,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Pillow (πŸ₯‡48 Β· ⭐ 12K) - Python Imaging Library (Fork). ❗️PIL -- [GitHub](https://github.com/python-pillow/Pillow) (πŸ‘¨β€πŸ’» 480 Β· πŸ”€ 2.2K Β· πŸ“¦ 2M Β· πŸ“‹ 3.3K - 3% open Β· ⏱️ 02.01.2025): +- [GitHub](https://github.com/python-pillow/Pillow) (πŸ‘¨β€πŸ’» 480 Β· πŸ”€ 2.2K Β· πŸ“¦ 2M Β· πŸ“‹ 3.3K - 3% open Β· ⏱️ 09.01.2025): ``` git clone https://github.com/python-pillow/Pillow @@ -2108,19 +2119,19 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` pip install Pillow ``` -- [Conda](https://anaconda.org/conda-forge/pillow) (πŸ“₯ 48M Β· ⏱️ 18.10.2024): +- [Conda](https://anaconda.org/conda-forge/pillow) (πŸ“₯ 48M Β· ⏱️ 03.01.2025): ``` conda install -c conda-forge pillow ```
PyTorch Image Models (πŸ₯‡42 Β· ⭐ 33K) - The largest collection of PyTorch image encoders /.. Apache-2 -- [GitHub](https://github.com/huggingface/pytorch-image-models) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 4.8K Β· πŸ“₯ 7.4M Β· πŸ“¦ 44K Β· πŸ“‹ 940 - 4% open Β· ⏱️ 01.01.2025): +- [GitHub](https://github.com/huggingface/pytorch-image-models) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 4.8K Β· πŸ“₯ 7.4M Β· πŸ“¦ 44K Β· πŸ“‹ 950 - 4% open Β· ⏱️ 09.01.2025): ``` git clone https://github.com/rwightman/pytorch-image-models ``` -- [PyPi](https://pypi.org/project/timm) (πŸ“₯ 5.1M / month Β· πŸ“¦ 1K Β· ⏱️ 03.12.2024): +- [PyPi](https://pypi.org/project/timm) (πŸ“₯ 5M / month Β· πŸ“¦ 1K Β· ⏱️ 03.12.2024): ``` pip install timm ``` @@ -2147,28 +2158,28 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Albumentations (πŸ₯‡41 Β· ⭐ 14K) - Fast and flexible image augmentation library. Paper about.. MIT -- [GitHub](https://github.com/albumentations-team/albumentations) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 1.7K Β· πŸ“¦ 31K Β· πŸ“‹ 1.1K - 14% open Β· ⏱️ 01.01.2025): +- [GitHub](https://github.com/albumentations-team/albumentations) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 1.7K Β· πŸ“¦ 31K Β· πŸ“‹ 1.1K - 13% open Β· ⏱️ 08.01.2025): ``` git clone https://github.com/albumentations-team/albumentations ``` -- [PyPi](https://pypi.org/project/albumentations) (πŸ“₯ 5M / month Β· πŸ“¦ 620 Β· ⏱️ 24.12.2024): +- [PyPi](https://pypi.org/project/albumentations) (πŸ“₯ 5.1M / month Β· πŸ“¦ 640 Β· ⏱️ 08.01.2025): ``` pip install albumentations ``` -- [Conda](https://anaconda.org/conda-forge/albumentations) (πŸ“₯ 220K Β· ⏱️ 22.09.2024): +- [Conda](https://anaconda.org/conda-forge/albumentations) (πŸ“₯ 220K Β· ⏱️ 08.01.2025): ``` conda install -c conda-forge albumentations ```
MoviePy (πŸ₯‡41 Β· ⭐ 13K) - Video editing with Python. MIT -- [GitHub](https://github.com/Zulko/moviepy) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 1.6K Β· πŸ“¦ 51K Β· πŸ“‹ 1.6K - 31% open Β· ⏱️ 31.12.2024): +- [GitHub](https://github.com/Zulko/moviepy) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 1.6K Β· πŸ“¦ 52K Β· πŸ“‹ 1.6K - 31% open Β· ⏱️ 05.01.2025): ``` git clone https://github.com/Zulko/moviepy ``` -- [PyPi](https://pypi.org/project/moviepy) (πŸ“₯ 2.3M / month Β· πŸ“¦ 1K Β· ⏱️ 25.11.2024): +- [PyPi](https://pypi.org/project/moviepy) (πŸ“₯ 2.2M / month Β· πŸ“¦ 1K Β· ⏱️ 25.11.2024): ``` pip install moviepy ``` @@ -2177,9 +2188,9 @@ _Libraries for image & video processing, manipulation, and augmentation as well conda install -c conda-forge moviepy ```
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deepface (πŸ₯‡39 Β· ⭐ 15K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT +
deepface (πŸ₯‡39 Β· ⭐ 17K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT -- [GitHub](https://github.com/serengil/deepface) (πŸ‘¨β€πŸ’» 75 Β· πŸ”€ 2.3K Β· πŸ“¦ 5K Β· πŸ“‹ 1.1K - 0% open Β· ⏱️ 26.12.2024): +- [GitHub](https://github.com/serengil/deepface) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 2.3K Β· πŸ“¦ 5.1K Β· πŸ“‹ 1.2K - 0% open Β· ⏱️ 08.01.2025): ``` git clone https://github.com/serengil/deepface @@ -2189,9 +2200,21 @@ _Libraries for image & video processing, manipulation, and augmentation as well pip install deepface ```
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Kornia (πŸ₯ˆ38 Β· ⭐ 10K) - Geometric Computer Vision Library for Spatial AI. Apache-2 +
InsightFace (πŸ₯ˆ37 Β· ⭐ 24K) - State-of-the-art 2D and 3D Face Analysis Project. MIT + +- [GitHub](https://github.com/deepinsight/insightface) (πŸ‘¨β€πŸ’» 63 Β· πŸ”€ 5.4K Β· πŸ“₯ 6.1M Β· πŸ“¦ 3.2K Β· πŸ“‹ 2.5K - 45% open Β· ⏱️ 05.12.2024): + + ``` + git clone https://github.com/deepinsight/insightface + ``` +- [PyPi](https://pypi.org/project/insightface) (πŸ“₯ 250K / month Β· πŸ“¦ 30 Β· ⏱️ 17.12.2022): + ``` + pip install insightface + ``` +
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Kornia (πŸ₯ˆ37 Β· ⭐ 10K Β· πŸ“‰) - Geometric Computer Vision Library for Spatial AI. Apache-2 -- [GitHub](https://github.com/kornia/kornia) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 970 Β· πŸ“₯ 1.6K Β· πŸ“¦ 13K Β· πŸ“‹ 960 - 30% open Β· ⏱️ 02.01.2025): +- [GitHub](https://github.com/kornia/kornia) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 970 Β· πŸ“₯ 1.6K Β· πŸ“¦ 13K Β· πŸ“‹ 960 - 30% open Β· ⏱️ 06.01.2025): ``` git clone https://github.com/kornia/kornia @@ -2200,19 +2223,19 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` pip install kornia ``` -- [Conda](https://anaconda.org/conda-forge/kornia) (πŸ“₯ 160K Β· ⏱️ 20.12.2024): +- [Conda](https://anaconda.org/conda-forge/kornia) (πŸ“₯ 170K Β· ⏱️ 20.12.2024): ``` conda install -c conda-forge kornia ```
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imageio (πŸ₯ˆ38 Β· ⭐ 1.5K) - Python library for reading and writing image data. BSD-2 +
imageio (πŸ₯ˆ37 Β· ⭐ 1.5K Β· πŸ“‰) - Python library for reading and writing image data. BSD-2 - [GitHub](https://github.com/imageio/imageio) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 300 Β· πŸ“₯ 1.5K Β· πŸ“¦ 150K Β· πŸ“‹ 610 - 16% open Β· ⏱️ 28.11.2024): ``` git clone https://github.com/imageio/imageio ``` -- [PyPi](https://pypi.org/project/imageio) (πŸ“₯ 25M / month Β· πŸ“¦ 2.5K Β· ⏱️ 28.11.2024): +- [PyPi](https://pypi.org/project/imageio) (πŸ“₯ 24M / month Β· πŸ“¦ 2.5K Β· ⏱️ 28.11.2024): ``` pip install imageio ``` @@ -2221,21 +2244,9 @@ _Libraries for image & video processing, manipulation, and augmentation as well conda install -c conda-forge imageio ```
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InsightFace (πŸ₯ˆ37 Β· ⭐ 24K) - State-of-the-art 2D and 3D Face Analysis Project. MIT - -- [GitHub](https://github.com/deepinsight/insightface) (πŸ‘¨β€πŸ’» 63 Β· πŸ”€ 5.4K Β· πŸ“₯ 6M Β· πŸ“¦ 3.2K Β· πŸ“‹ 2.5K - 45% open Β· ⏱️ 05.12.2024): - - ``` - git clone https://github.com/deepinsight/insightface - ``` -- [PyPi](https://pypi.org/project/insightface) (πŸ“₯ 250K / month Β· πŸ“¦ 30 Β· ⏱️ 17.12.2022): - ``` - pip install insightface - ``` -
MMDetection (πŸ₯ˆ36 Β· ⭐ 30K Β· πŸ’€) - OpenMMLab Detection Toolbox and Benchmark. Apache-2 -- [GitHub](https://github.com/open-mmlab/mmdetection) (πŸ‘¨β€πŸ’» 480 Β· πŸ”€ 9.5K Β· πŸ“¦ 3.3K Β· πŸ“‹ 8.6K - 21% open Β· ⏱️ 05.02.2024): +- [GitHub](https://github.com/open-mmlab/mmdetection) (πŸ‘¨β€πŸ’» 480 Β· πŸ”€ 9.5K Β· πŸ“¦ 3.4K Β· πŸ“‹ 8.6K - 21% open Β· ⏱️ 05.02.2024): ``` git clone https://github.com/open-mmlab/mmdetection @@ -2245,7 +2256,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well pip install mmdet ```
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opencv-python (πŸ₯ˆ36 Β· ⭐ 4.6K Β· πŸ“ˆ) - Automated CI toolchain to produce precompiled opencv-python,.. MIT +
opencv-python (πŸ₯ˆ36 Β· ⭐ 4.6K) - Automated CI toolchain to produce precompiled opencv-python,.. MIT - [GitHub](https://github.com/opencv/opencv-python) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 850 Β· πŸ“¦ 490K Β· πŸ“‹ 830 - 16% open Β· ⏱️ 31.12.2024): @@ -2275,7 +2286,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
PaddleSeg (πŸ₯ˆ34 Β· ⭐ 8.8K) - Easy-to-use image segmentation library with awesome pre-.. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/PaddleSeg) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.7K Β· πŸ“¦ 1.3K Β· πŸ“‹ 2.4K - 9% open Β· ⏱️ 25.12.2024): +- [GitHub](https://github.com/PaddlePaddle/PaddleSeg) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.7K Β· πŸ“¦ 1.3K Β· πŸ“‹ 2.2K - 0% open Β· ⏱️ 25.12.2024): ``` git clone https://github.com/PaddlePaddle/PaddleSeg @@ -2287,54 +2298,58 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Wand (πŸ₯ˆ33 Β· ⭐ 1.4K) - The ctypes-based simple ImageMagick binding for Python. MIT -- [GitHub](https://github.com/emcconville/wand) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 200 Β· πŸ“₯ 52K Β· πŸ“¦ 20K Β· πŸ“‹ 430 - 6% open Β· ⏱️ 19.12.2024): +- [GitHub](https://github.com/emcconville/wand) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 200 Β· πŸ“₯ 52K Β· πŸ“¦ 20K Β· πŸ“‹ 430 - 6% open Β· ⏱️ 06.01.2025): ``` git clone https://github.com/emcconville/wand ``` -- [PyPi](https://pypi.org/project/wand) (πŸ“₯ 930K / month Β· πŸ“¦ 260 Β· ⏱️ 03.11.2023): +- [PyPi](https://pypi.org/project/wand) (πŸ“₯ 910K / month Β· πŸ“¦ 260 Β· ⏱️ 03.11.2023): ``` pip install wand ``` -- [Conda](https://anaconda.org/conda-forge/wand) (πŸ“₯ 94K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/wand) (πŸ“₯ 96K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge wand ```
vit-pytorch (πŸ₯ˆ32 Β· ⭐ 21K) - Implementation of Vision Transformer, a simple way to achieve.. MIT -- [GitHub](https://github.com/lucidrains/vit-pytorch) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 3.1K Β· πŸ“¦ 580 Β· πŸ“‹ 280 - 49% open Β· ⏱️ 21.12.2024): +- [GitHub](https://github.com/lucidrains/vit-pytorch) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 3.1K Β· πŸ“¦ 580 Β· πŸ“‹ 280 - 49% open Β· ⏱️ 04.01.2025): ``` git clone https://github.com/lucidrains/vit-pytorch ``` -- [PyPi](https://pypi.org/project/vit-pytorch) (πŸ“₯ 23K / month Β· πŸ“¦ 17 Β· ⏱️ 21.12.2024): +- [PyPi](https://pypi.org/project/vit-pytorch) (πŸ“₯ 23K / month Β· πŸ“¦ 17 Β· ⏱️ 04.01.2025): ``` pip install vit-pytorch ```
lightly (πŸ₯ˆ32 Β· ⭐ 3.2K) - A python library for self-supervised learning on images. MIT -- [GitHub](https://github.com/lightly-ai/lightly) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 280 Β· πŸ“¦ 360 Β· πŸ“‹ 590 - 12% open Β· ⏱️ 30.12.2024): +- [GitHub](https://github.com/lightly-ai/lightly) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 280 Β· πŸ“¦ 360 Β· πŸ“‹ 590 - 12% open Β· ⏱️ 07.01.2025): ``` git clone https://github.com/lightly-ai/lightly ``` -- [PyPi](https://pypi.org/project/lightly) (πŸ“₯ 38K / month Β· πŸ“¦ 17 Β· ⏱️ 29.11.2024): +- [PyPi](https://pypi.org/project/lightly) (πŸ“₯ 32K / month Β· πŸ“¦ 17 Β· ⏱️ 29.11.2024): ``` pip install lightly ```
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PaddleDetection (πŸ₯ˆ30 Β· ⭐ 13K) - Object Detection toolkit based on PaddlePaddle. It.. Apache-2 +
ImageHash (πŸ₯ˆ31 Β· ⭐ 3.5K) - A Python Perceptual Image Hashing Module. BSD-2 -- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 2.9K Β· πŸ“‹ 5.5K - 22% open Β· ⏱️ 03.12.2024): +- [GitHub](https://github.com/JohannesBuchner/imagehash) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 340 Β· πŸ“¦ 15K Β· πŸ“‹ 140 - 13% open Β· ⏱️ 09.10.2024): ``` - git clone https://github.com/PaddlePaddle/PaddleDetection + git clone https://github.com/JohannesBuchner/imagehash ``` -- [PyPi](https://pypi.org/project/paddledet) (πŸ“₯ 540 / month Β· πŸ“¦ 2 Β· ⏱️ 19.09.2022): +- [PyPi](https://pypi.org/project/ImageHash) (πŸ“₯ 1.2M / month Β· πŸ“¦ 240 Β· ⏱️ 28.09.2022): ``` - pip install paddledet + pip install ImageHash + ``` +- [Conda](https://anaconda.org/conda-forge/imagehash) (πŸ“₯ 420K Β· ⏱️ 22.12.2024): + ``` + conda install -c conda-forge imagehash ```
imageai (πŸ₯ˆ30 Β· ⭐ 8.7K Β· πŸ’€) - A python library built to empower developers to build applications.. MIT @@ -2344,7 +2359,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/OlafenwaMoses/ImageAI ``` -- [PyPi](https://pypi.org/project/imageai) (πŸ“₯ 7.5K / month Β· πŸ“¦ 19 Β· ⏱️ 02.01.2023): +- [PyPi](https://pypi.org/project/imageai) (πŸ“₯ 7.2K / month Β· πŸ“¦ 19 Β· ⏱️ 02.01.2023): ``` pip install imageai ``` @@ -2353,42 +2368,38 @@ _Libraries for image & video processing, manipulation, and augmentation as well conda install -c conda-forge imageai ```
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ImageHash (πŸ₯ˆ30 Β· ⭐ 3.5K) - A Python Perceptual Image Hashing Module. BSD-2 +
CellProfiler (πŸ₯ˆ30 Β· ⭐ 930) - An open-source application for biological image analysis. BSD-3 -- [GitHub](https://github.com/JohannesBuchner/imagehash) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 340 Β· πŸ“¦ 15K Β· πŸ“‹ 140 - 13% open Β· ⏱️ 09.10.2024): +- [GitHub](https://github.com/CellProfiler/CellProfiler) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 380 Β· πŸ“₯ 8.2K Β· πŸ“¦ 26 Β· πŸ“‹ 3.3K - 9% open Β· ⏱️ 04.01.2025): ``` - git clone https://github.com/JohannesBuchner/imagehash - ``` -- [PyPi](https://pypi.org/project/ImageHash) (πŸ“₯ 1.3M / month Β· πŸ“¦ 240 Β· ⏱️ 28.09.2022): - ``` - pip install ImageHash + git clone https://github.com/CellProfiler/CellProfiler ``` -- [Conda](https://anaconda.org/conda-forge/imagehash) (πŸ“₯ 410K Β· ⏱️ 22.12.2024): +- [PyPi](https://pypi.org/project/cellprofiler) (πŸ“₯ 1.2K / month Β· πŸ“¦ 2 Β· ⏱️ 16.09.2024): ``` - conda install -c conda-forge imagehash + pip install cellprofiler ```
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CellProfiler (πŸ₯ˆ30 Β· ⭐ 930) - An open-source application for biological image analysis. BSD-3 +
PaddleDetection (πŸ₯‰29 Β· ⭐ 13K) - Object Detection toolkit based on PaddlePaddle. It.. Apache-2 -- [GitHub](https://github.com/CellProfiler/CellProfiler) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 380 Β· πŸ“₯ 8.2K Β· πŸ“¦ 26 Β· πŸ“‹ 3.3K - 9% open Β· ⏱️ 18.12.2024): +- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 2.9K Β· πŸ“‹ 5.5K - 22% open Β· ⏱️ 03.12.2024): ``` - git clone https://github.com/CellProfiler/CellProfiler + git clone https://github.com/PaddlePaddle/PaddleDetection ``` -- [PyPi](https://pypi.org/project/cellprofiler) (πŸ“₯ 1.4K / month Β· πŸ“¦ 2 Β· ⏱️ 16.09.2024): +- [PyPi](https://pypi.org/project/paddledet) (πŸ“₯ 610 / month Β· πŸ“¦ 2 Β· ⏱️ 19.09.2022): ``` - pip install cellprofiler + pip install paddledet ```
sahi (πŸ₯‰29 Β· ⭐ 4.2K) - Framework agnostic sliced/tiled inference + interactive ui + error analysis.. MIT -- [GitHub](https://github.com/obss/sahi) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 600 Β· πŸ“₯ 30K Β· πŸ“¦ 1.6K Β· ⏱️ 18.12.2024): +- [GitHub](https://github.com/obss/sahi) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 600 Β· πŸ“₯ 31K Β· πŸ“¦ 1.6K Β· ⏱️ 18.12.2024): ``` git clone https://github.com/obss/sahi ``` -- [PyPi](https://pypi.org/project/sahi) (πŸ“₯ 180K / month Β· πŸ“¦ 31 Β· ⏱️ 16.12.2024): +- [PyPi](https://pypi.org/project/sahi) (πŸ“₯ 190K / month Β· πŸ“¦ 31 Β· ⏱️ 16.12.2024): ``` pip install sahi ``` @@ -2399,19 +2410,19 @@ _Libraries for image & video processing, manipulation, and augmentation as well
doctr (πŸ₯‰29 Β· ⭐ 4.1K) - docTR (Document Text Recognition) - a seamless, high-.. Apache-2 -- [GitHub](https://github.com/mindee/doctr) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 450 Β· πŸ“₯ 4.6M Β· πŸ“‹ 380 - 7% open Β· ⏱️ 20.12.2024): +- [GitHub](https://github.com/mindee/doctr) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 450 Β· πŸ“₯ 4.6M Β· πŸ“‹ 380 - 7% open Β· ⏱️ 06.01.2025): ``` git clone https://github.com/mindee/doctr ``` -- [PyPi](https://pypi.org/project/python-doctr) (πŸ“₯ 34K / month Β· πŸ“¦ 12 Β· ⏱️ 21.10.2024): +- [PyPi](https://pypi.org/project/python-doctr) (πŸ“₯ 33K / month Β· πŸ“¦ 12 Β· ⏱️ 21.10.2024): ``` pip install python-doctr ```
mtcnn (πŸ₯‰28 Β· ⭐ 2.3K) - MTCNN face detection implementation for TensorFlow, as a PIP package. MIT -- [GitHub](https://github.com/ipazc/mtcnn) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 530 Β· πŸ“₯ 17 Β· πŸ“¦ 6.9K Β· πŸ“‹ 130 - 37% open Β· ⏱️ 08.10.2024): +- [GitHub](https://github.com/ipazc/mtcnn) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 530 Β· πŸ“₯ 25 Β· πŸ“¦ 6.9K Β· πŸ“‹ 130 - 37% open Β· ⏱️ 08.10.2024): ``` git clone https://github.com/ipazc/mtcnn @@ -2432,7 +2443,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/1adrianb/face-alignment ``` -- [PyPi](https://pypi.org/project/face-alignment) (πŸ“₯ 37K / month Β· πŸ“¦ 10 Β· ⏱️ 17.08.2023): +- [PyPi](https://pypi.org/project/face-alignment) (πŸ“₯ 41K / month Β· πŸ“¦ 10 Β· ⏱️ 17.08.2023): ``` pip install face-alignment ``` @@ -2444,14 +2455,14 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/timesler/facenet-pytorch ``` -- [PyPi](https://pypi.org/project/facenet-pytorch) (πŸ“₯ 70K / month Β· πŸ“¦ 51 Β· ⏱️ 29.04.2024): +- [PyPi](https://pypi.org/project/facenet-pytorch) (πŸ“₯ 65K / month Β· πŸ“¦ 51 Β· ⏱️ 29.04.2024): ``` pip install facenet-pytorch ```
vidgear (πŸ₯‰27 Β· ⭐ 3.4K Β· πŸ’€) - A High-performance cross-platform Video Processing Python.. Apache-2 -- [GitHub](https://github.com/abhiTronix/vidgear) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 260 Β· πŸ“₯ 2K Β· πŸ“¦ 660 Β· πŸ“‹ 300 - 2% open Β· ⏱️ 22.06.2024): +- [GitHub](https://github.com/abhiTronix/vidgear) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 260 Β· πŸ“₯ 2.1K Β· πŸ“¦ 660 Β· πŸ“‹ 300 - 2% open Β· ⏱️ 22.06.2024): ``` git clone https://github.com/abhiTronix/vidgear @@ -2468,7 +2479,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/luispedro/mahotas ``` -- [PyPi](https://pypi.org/project/mahotas) (πŸ“₯ 20K / month Β· πŸ“¦ 63 Β· ⏱️ 17.07.2024): +- [PyPi](https://pypi.org/project/mahotas) (πŸ“₯ 18K / month Β· πŸ“¦ 63 Β· ⏱️ 17.07.2024): ``` pip install mahotas ``` @@ -2484,7 +2495,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/tryolabs/norfair ``` -- [PyPi](https://pypi.org/project/norfair) (πŸ“₯ 19K / month Β· πŸ“¦ 9 Β· ⏱️ 30.05.2022): +- [PyPi](https://pypi.org/project/norfair) (πŸ“₯ 20K / month Β· πŸ“¦ 9 Β· ⏱️ 30.05.2022): ``` pip install norfair ``` @@ -2496,7 +2507,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/idealo/imagededup ``` -- [PyPi](https://pypi.org/project/imagededup) (πŸ“₯ 18K / month Β· πŸ“¦ 5 Β· ⏱️ 28.04.2023): +- [PyPi](https://pypi.org/project/imagededup) (πŸ“₯ 17K / month Β· πŸ“¦ 5 Β· ⏱️ 28.04.2023): ``` pip install imagededup ``` @@ -2508,7 +2519,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/facebookresearch/pytorchvideo ``` -- [PyPi](https://pypi.org/project/pytorchvideo) (πŸ“₯ 25K / month Β· πŸ“¦ 24 Β· ⏱️ 20.01.2022): +- [PyPi](https://pypi.org/project/pytorchvideo) (πŸ“₯ 24K / month Β· πŸ“¦ 24 Β· ⏱️ 20.01.2022): ``` pip install pytorchvideo ``` @@ -2532,7 +2543,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/google-research/kubric ``` -- [PyPi](https://pypi.org/project/kubric-nightly) (πŸ“₯ 16K / month Β· ⏱️ 27.12.2023): +- [PyPi](https://pypi.org/project/kubric-nightly) (πŸ“₯ 17K / month Β· ⏱️ 27.12.2023): ``` pip install kubric-nightly ``` @@ -2544,7 +2555,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/facebookresearch/mmf ``` -- [PyPi](https://pypi.org/project/mmf) (πŸ“₯ 750 / month Β· πŸ“¦ 1 Β· ⏱️ 12.06.2020): +- [PyPi](https://pypi.org/project/mmf) (πŸ“₯ 700 / month Β· πŸ“¦ 1 Β· ⏱️ 12.06.2020): ``` pip install mmf ``` @@ -2556,7 +2567,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/qubvel/segmentation_models ``` -- [PyPi](https://pypi.org/project/segmentation_models) (πŸ“₯ 27K / month Β· πŸ“¦ 28 Β· ⏱️ 10.01.2020): +- [PyPi](https://pypi.org/project/segmentation_models) (πŸ“₯ 23K / month Β· πŸ“¦ 28 Β· ⏱️ 10.01.2020): ``` pip install segmentation_models ``` @@ -2568,14 +2579,14 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/libffcv/ffcv ``` -- [PyPi](https://pypi.org/project/ffcv) (πŸ“₯ 940 / month Β· πŸ“¦ 1 Β· ⏱️ 28.01.2022): +- [PyPi](https://pypi.org/project/ffcv) (πŸ“₯ 990 / month Β· πŸ“¦ 1 Β· ⏱️ 28.01.2022): ``` pip install ffcv ```
pyvips (πŸ₯‰24 Β· ⭐ 660) - python binding for libvips using cffi. MIT -- [GitHub](https://github.com/libvips/pyvips) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 50 Β· πŸ“¦ 860 Β· πŸ“‹ 450 - 42% open Β· ⏱️ 29.10.2024): +- [GitHub](https://github.com/libvips/pyvips) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 50 Β· πŸ“¦ 870 Β· πŸ“‹ 450 - 42% open Β· ⏱️ 29.10.2024): ``` git clone https://github.com/libvips/pyvips @@ -2596,7 +2607,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/facebookresearch/vissl ``` -- [PyPi](https://pypi.org/project/vissl) (πŸ“₯ 130 / month Β· πŸ“¦ 1 Β· ⏱️ 02.11.2021): +- [PyPi](https://pypi.org/project/vissl) (πŸ“₯ 150 / month Β· πŸ“¦ 1 Β· ⏱️ 02.11.2021): ``` pip install vissl ``` @@ -2608,7 +2619,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/airctic/icevision ``` -- [PyPi](https://pypi.org/project/icevision) (πŸ“₯ 2.6K / month Β· πŸ“¦ 6 Β· ⏱️ 10.02.2022): +- [PyPi](https://pypi.org/project/icevision) (πŸ“₯ 2.7K / month Β· πŸ“¦ 6 Β· ⏱️ 10.02.2022): ``` pip install icevision ``` @@ -2640,7 +2651,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/idealo/image-super-resolution ``` -- [PyPi](https://pypi.org/project/ISR) (πŸ“₯ 5.6K / month Β· πŸ“¦ 5 Β· ⏱️ 08.01.2020): +- [PyPi](https://pypi.org/project/ISR) (πŸ“₯ 5K / month Β· πŸ“¦ 5 Β· ⏱️ 08.01.2020): ``` pip install ISR ``` @@ -2649,7 +2660,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well docker pull idealo/image-super-resolution-gpu ```
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scenic (πŸ₯‰18 Β· ⭐ 3.4K) - Scenic: A Jax Library for Computer Vision Research and Beyond. Apache-2 +
scenic (πŸ₯‰17 Β· ⭐ 3.4K) - Scenic: A Jax Library for Computer Vision Research and Beyond. Apache-2 - [GitHub](https://github.com/google-research/scenic) (πŸ‘¨β€πŸ’» 90 Β· πŸ”€ 440 Β· πŸ“‹ 270 - 55% open Β· ⏱️ 18.12.2024): @@ -2663,9 +2674,9 @@ _Libraries for image & video processing, manipulation, and augmentation as well - glfw (πŸ₯ˆ37 Β· ⭐ 13K) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. ❗️Zlib - imgaug (πŸ₯ˆ36 Β· ⭐ 14K Β· πŸ’€) - Image augmentation for machine learning experiments. MIT - Face Recognition (πŸ₯ˆ35 Β· ⭐ 54K Β· πŸ’€) - The worlds simplest facial recognition api for Python.. MIT -- PyTorch3D (πŸ₯ˆ33 Β· ⭐ 8.9K) - PyTorch3D is FAIRs library of reusable components for.. ❗Unlicensed -- GluonCV (πŸ₯ˆ30 Β· ⭐ 5.8K Β· πŸ’€) - Gluon CV Toolkit. Apache-2 -- imutils (πŸ₯ˆ30 Β· ⭐ 4.5K Β· πŸ’€) - A series of convenience functions to make basic image processing.. MIT +- PyTorch3D (πŸ₯ˆ34 Β· ⭐ 9K) - PyTorch3D is FAIRs library of reusable components for deep.. ❗Unlicensed +- imutils (πŸ₯ˆ31 Β· ⭐ 4.6K Β· πŸ’€) - A series of convenience functions to make basic image processing.. MIT +- GluonCV (πŸ₯ˆ30 Β· ⭐ 5.9K Β· πŸ’€) - Gluon CV Toolkit. Apache-2 - layout-parser (πŸ₯‰27 Β· ⭐ 5K Β· πŸ’€) - A Unified Toolkit for Deep Learning Based Document Image.. Apache-2 - chainercv (πŸ₯‰27 Β· ⭐ 1.5K Β· πŸ’€) - ChainerCV: a Library for Deep Learning in Computer Vision. MIT - Augmentor (πŸ₯‰26 Β· ⭐ 5.1K Β· πŸ’€) - Image augmentation library in Python for machine learning. MIT @@ -2674,11 +2685,11 @@ _Libraries for image & video processing, manipulation, and augmentation as well - Luminoth (πŸ₯‰23 Β· ⭐ 2.4K Β· πŸ’€) - Deep Learning toolkit for Computer Vision. BSD-3 - Classy Vision (πŸ₯‰22 Β· ⭐ 1.6K Β· πŸ’€) - An end-to-end PyTorch framework for image and video.. MIT - image-match (πŸ₯‰20 Β· ⭐ 2.9K Β· πŸ’€) - Quickly search over billions of images. Apache-2 -- nude.py (πŸ₯‰20 Β· ⭐ 930 Β· πŸ’€) - Nudity detection with Python. MIT +- nude.py (πŸ₯‰20 Β· ⭐ 920 Β· πŸ’€) - Nudity detection with Python. MIT - detecto (πŸ₯‰20 Β· ⭐ 620 Β· πŸ’€) - Build fully-functioning computer vision models with PyTorch. MIT -- Caer (πŸ₯‰18 Β· ⭐ 780 Β· πŸ’€) - A lightweight Computer Vision library. Scale your models, not boilerplate. MIT - solt (πŸ₯‰18 Β· ⭐ 260) - Streaming over lightweight data transformations. MIT - pycls (πŸ₯‰17 Β· ⭐ 2.1K Β· πŸ’€) - Codebase for Image Classification Research, written in PyTorch. MIT +- Caer (πŸ₯‰17 Β· ⭐ 780 Β· πŸ’€) - A lightweight Computer Vision library. Scale your models, not boilerplate. MIT - Torch Points 3D (πŸ₯‰16 Β· ⭐ 220 Β· πŸ’€) - Pytorch framework for doing deep learning on point.. BSD-3 - HugsVision (πŸ₯‰16 Β· ⭐ 200 Β· πŸ’€) - HugsVision is a easy to use huggingface wrapper for state-of-.. MIT huggingface
@@ -2692,28 +2703,28 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
networkx (πŸ₯‡44 Β· ⭐ 15K) - Network Analysis in Python. BSD-3 -- [GitHub](https://github.com/networkx/networkx) (πŸ‘¨β€πŸ’» 760 Β· πŸ”€ 3.3K Β· πŸ“₯ 76 Β· πŸ“¦ 330K Β· πŸ“‹ 3.4K - 10% open Β· ⏱️ 02.01.2025): +- [GitHub](https://github.com/networkx/networkx) (πŸ‘¨β€πŸ’» 760 Β· πŸ”€ 3.3K Β· πŸ“₯ 78 Β· πŸ“¦ 340K Β· πŸ“‹ 3.4K - 10% open Β· ⏱️ 02.01.2025): ``` git clone https://github.com/networkx/networkx ``` -- [PyPi](https://pypi.org/project/networkx) (πŸ“₯ 60M / month Β· πŸ“¦ 9.6K Β· ⏱️ 21.10.2024): +- [PyPi](https://pypi.org/project/networkx) (πŸ“₯ 57M / month Β· πŸ“¦ 9.6K Β· ⏱️ 21.10.2024): ``` pip install networkx ``` -- [Conda](https://anaconda.org/conda-forge/networkx) (πŸ“₯ 19M Β· ⏱️ 25.12.2024): +- [Conda](https://anaconda.org/conda-forge/networkx) (πŸ“₯ 20M Β· ⏱️ 25.12.2024): ``` conda install -c conda-forge networkx ```
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PyTorch Geometric (πŸ₯‡41 Β· ⭐ 22K Β· πŸ“ˆ) - Graph Neural Network Library for PyTorch. MIT +
PyTorch Geometric (πŸ₯‡39 Β· ⭐ 22K Β· πŸ“‰) - Graph Neural Network Library for PyTorch. MIT -- [GitHub](https://github.com/pyg-team/pytorch_geometric) (πŸ‘¨β€πŸ’» 530 Β· πŸ”€ 3.7K Β· πŸ“¦ 7.4K Β· πŸ“‹ 3.8K - 29% open Β· ⏱️ 30.12.2024): +- [GitHub](https://github.com/pyg-team/pytorch_geometric) (πŸ‘¨β€πŸ’» 530 Β· πŸ”€ 3.7K Β· πŸ“¦ 7.5K Β· πŸ“‹ 3.8K - 29% open Β· ⏱️ 07.01.2025): ``` git clone https://github.com/pyg-team/pytorch_geometric ``` -- [PyPi](https://pypi.org/project/torch-geometric) (πŸ“₯ 450K / month Β· πŸ“¦ 360 Β· ⏱️ 26.09.2024): +- [PyPi](https://pypi.org/project/torch-geometric) (πŸ“₯ 400K / month Β· πŸ“¦ 360 Β· ⏱️ 26.09.2024): ``` pip install torch-geometric ``` @@ -2722,54 +2733,42 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas conda install -c conda-forge pytorch_geometric ```
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dgl (πŸ₯‡35 Β· ⭐ 14K Β· πŸ“‰) - Python package built to ease deep learning on graph, on top of.. Apache-2 +
dgl (πŸ₯‡36 Β· ⭐ 14K) - Python package built to ease deep learning on graph, on top of existing DL.. Apache-2 -- [GitHub](https://github.com/dmlc/dgl) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 3K Β· πŸ“¦ 330 Β· πŸ“‹ 2.9K - 18% open Β· ⏱️ 18.10.2024): +- [GitHub](https://github.com/dmlc/dgl) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 3K Β· πŸ“¦ 330 Β· πŸ“‹ 2.9K - 18% open Β· ⏱️ 09.01.2025): ``` git clone https://github.com/dmlc/dgl ``` -- [PyPi](https://pypi.org/project/dgl) (πŸ“₯ 95K / month Β· πŸ“¦ 150 Β· ⏱️ 13.05.2024): +- [PyPi](https://pypi.org/project/dgl) (πŸ“₯ 91K / month Β· πŸ“¦ 150 Β· ⏱️ 13.05.2024): ``` pip install dgl ```
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pygraphistry (πŸ₯ˆ32 Β· ⭐ 2.2K) - PyGraphistry is a Python library to quickly load, shape,.. BSD-3 +
pygraphistry (πŸ₯ˆ31 Β· ⭐ 2.2K) - PyGraphistry is a Python library to quickly load, shape,.. BSD-3 -- [GitHub](https://github.com/graphistry/pygraphistry) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 210 Β· πŸ“¦ 130 Β· πŸ“‹ 340 - 52% open Β· ⏱️ 29.12.2024): +- [GitHub](https://github.com/graphistry/pygraphistry) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 210 Β· πŸ“¦ 130 Β· πŸ“‹ 340 - 51% open Β· ⏱️ 06.01.2025): ``` git clone https://github.com/graphistry/pygraphistry ``` -- [PyPi](https://pypi.org/project/graphistry) (πŸ“₯ 17K / month Β· πŸ“¦ 6 Β· ⏱️ 29.12.2024): +- [PyPi](https://pypi.org/project/graphistry) (πŸ“₯ 14K / month Β· πŸ“¦ 6 Β· ⏱️ 29.12.2024): ``` pip install graphistry ```
PyKEEN (πŸ₯ˆ31 Β· ⭐ 1.7K) - A Python library for learning and evaluating knowledge graph embeddings. MIT -- [GitHub](https://github.com/pykeen/pykeen) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 190 Β· πŸ“₯ 230 Β· πŸ“¦ 260 Β· πŸ“‹ 580 - 19% open Β· ⏱️ 10.11.2024): +- [GitHub](https://github.com/pykeen/pykeen) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 190 Β· πŸ“₯ 230 Β· πŸ“¦ 270 Β· πŸ“‹ 580 - 19% open Β· ⏱️ 08.01.2025): ``` git clone https://github.com/pykeen/pykeen ``` -- [PyPi](https://pypi.org/project/pykeen) (πŸ“₯ 13K / month Β· πŸ“¦ 19 Β· ⏱️ 29.10.2024): +- [PyPi](https://pypi.org/project/pykeen) (πŸ“₯ 12K / month Β· πŸ“¦ 19 Β· ⏱️ 29.10.2024): ``` pip install pykeen ```
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Spektral (πŸ₯ˆ28 Β· ⭐ 2.4K Β· πŸ’€) - Graph Neural Networks with Keras and Tensorflow 2. MIT - -- [GitHub](https://github.com/danielegrattarola/spektral) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 340 Β· πŸ“¦ 370 Β· πŸ“‹ 280 - 25% open Β· ⏱️ 21.01.2024): - - ``` - git clone https://github.com/danielegrattarola/spektral - ``` -- [PyPi](https://pypi.org/project/spektral) (πŸ“₯ 8.4K / month Β· πŸ“¦ 7 Β· ⏱️ 21.01.2024): - ``` - pip install spektral - ``` -
ogb (πŸ₯ˆ28 Β· ⭐ 2K) - Benchmark datasets, data loaders, and evaluators for graph machine learning. MIT - [GitHub](https://github.com/snap-stanford/ogb) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 400 Β· πŸ“¦ 2.2K Β· πŸ“‹ 300 - 9% open Β· ⏱️ 09.12.2024): @@ -2777,47 +2776,59 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/snap-stanford/ogb ``` -- [PyPi](https://pypi.org/project/ogb) (πŸ“₯ 35K / month Β· πŸ“¦ 22 Β· ⏱️ 02.11.2022): +- [PyPi](https://pypi.org/project/ogb) (πŸ“₯ 32K / month Β· πŸ“¦ 22 Β· ⏱️ 02.11.2022): ``` pip install ogb ``` -- [Conda](https://anaconda.org/conda-forge/ogb) (πŸ“₯ 44K Β· ⏱️ 22.12.2024): +- [Conda](https://anaconda.org/conda-forge/ogb) (πŸ“₯ 45K Β· ⏱️ 22.12.2024): ``` conda install -c conda-forge ogb ```
+
Spektral (πŸ₯ˆ27 Β· ⭐ 2.4K Β· πŸ’€) - Graph Neural Networks with Keras and Tensorflow 2. MIT + +- [GitHub](https://github.com/danielegrattarola/spektral) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 340 Β· πŸ“¦ 370 Β· πŸ“‹ 280 - 25% open Β· ⏱️ 21.01.2024): + + ``` + git clone https://github.com/danielegrattarola/spektral + ``` +- [PyPi](https://pypi.org/project/spektral) (πŸ“₯ 7.9K / month Β· πŸ“¦ 7 Β· ⏱️ 21.01.2024): + ``` + pip install spektral + ``` +
AmpliGraph (πŸ₯ˆ27 Β· ⭐ 2.2K Β· πŸ’€) - Python library for Representation Learning on Knowledge.. Apache-2 -- [GitHub](https://github.com/Accenture/AmpliGraph) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 250 Β· πŸ“¦ 59 Β· πŸ“‹ 230 - 13% open Β· ⏱️ 28.02.2024): +- [GitHub](https://github.com/Accenture/AmpliGraph) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 250 Β· πŸ“¦ 60 Β· πŸ“‹ 230 - 13% open Β· ⏱️ 28.02.2024): ``` git clone https://github.com/Accenture/AmpliGraph ``` -- [PyPi](https://pypi.org/project/ampligraph) (πŸ“₯ 1.3K / month Β· πŸ“¦ 2 Β· ⏱️ 26.02.2024): +- [PyPi](https://pypi.org/project/ampligraph) (πŸ“₯ 1.2K / month Β· πŸ“¦ 2 Β· ⏱️ 26.02.2024): ``` pip install ampligraph ```
pytorch_geometric_temporal (πŸ₯ˆ24 Β· ⭐ 2.7K) - PyTorch Geometric Temporal: Spatiotemporal Signal.. MIT -- [GitHub](https://github.com/benedekrozemberczki/pytorch_geometric_temporal) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 370 Β· πŸ“‹ 200 - 20% open Β· ⏱️ 14.10.2024): +- [GitHub](https://github.com/benedekrozemberczki/pytorch_geometric_temporal) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 380 Β· πŸ“‹ 200 - 20% open Β· ⏱️ 14.10.2024): ``` git clone https://github.com/benedekrozemberczki/pytorch_geometric_temporal ``` -- [PyPi](https://pypi.org/project/torch-geometric-temporal) (πŸ“₯ 2.6K / month Β· πŸ“¦ 7 Β· ⏱️ 04.09.2022): +- [PyPi](https://pypi.org/project/torch-geometric-temporal) (πŸ“₯ 2.4K / month Β· πŸ“¦ 7 Β· ⏱️ 04.09.2022): ``` pip install torch-geometric-temporal ```
Node2Vec (πŸ₯ˆ24 Β· ⭐ 1.3K) - Implementation of the node2vec algorithm. MIT -- [GitHub](https://github.com/eliorc/node2vec) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 250 Β· πŸ“¦ 760 Β· πŸ“‹ 93 - 5% open Β· ⏱️ 02.08.2024): +- [GitHub](https://github.com/eliorc/node2vec) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 250 Β· πŸ“¦ 770 Β· πŸ“‹ 93 - 5% open Β· ⏱️ 02.08.2024): ``` git clone https://github.com/eliorc/node2vec ``` -- [PyPi](https://pypi.org/project/node2vec) (πŸ“₯ 17K / month Β· πŸ“¦ 31 Β· ⏱️ 02.08.2024): +- [PyPi](https://pypi.org/project/node2vec) (πŸ“₯ 16K / month Β· πŸ“¦ 31 Β· ⏱️ 02.08.2024): ``` pip install node2vec ``` @@ -2854,18 +2865,6 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas pip install torchbiggraph ```
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AutoGL (πŸ₯‰15 Β· ⭐ 1.1K Β· πŸ’€) - An autoML framework & toolkit for machine learning on graphs. Apache-2 - -- [GitHub](https://github.com/THUMNLab/AutoGL) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 120 Β· πŸ“‹ 39 - 35% open Β· ⏱️ 05.02.2024): - - ``` - git clone https://github.com/THUMNLab/AutoGL - ``` -- [PyPi](https://pypi.org/project/auto-graph-learning) (⏱️ 23.12.2020): - ``` - pip install auto-graph-learning - ``` -
OpenNE (πŸ₯‰14 Β· ⭐ 1.7K Β· πŸ’€) - An Open-Source Package for Network Embedding (NE). MIT - [GitHub](https://github.com/thunlp/OpenNE) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 490 Β· πŸ“‹ 110 - 9% open Β· ⏱️ 10.01.2024): @@ -2886,6 +2885,18 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas conda install -c milagraph graphvite ```
+
AutoGL (πŸ₯‰14 Β· ⭐ 1.1K Β· πŸ’€) - An autoML framework & toolkit for machine learning on graphs. Apache-2 + +- [GitHub](https://github.com/THUMNLab/AutoGL) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 120 Β· πŸ“‹ 39 - 35% open Β· ⏱️ 05.02.2024): + + ``` + git clone https://github.com/THUMNLab/AutoGL + ``` +- [PyPi](https://pypi.org/project/auto-graph-learning) (πŸ“₯ 1 / month Β· ⏱️ 23.12.2020): + ``` + pip install auto-graph-learning + ``` +
Show 21 hidden projects... - igraph (πŸ₯‡33 Β· ⭐ 1.3K) - Python interface for igraph. ❗️GPL-2.0 @@ -2899,7 +2910,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas - pyRDF2Vec (πŸ₯‰21 Β· ⭐ 250 Β· πŸ’€) - Python Implementation and Extension of RDF2Vec. MIT - DeepWalk (πŸ₯‰20 Β· ⭐ 2.7K Β· πŸ’€) - DeepWalk - Deep Learning for Graphs. ❗️GPL-3.0 - DIG (πŸ₯‰20 Β· ⭐ 1.9K Β· πŸ’€) - A library for graph deep learning research. ❗️GPL-3.0 -- deepsnap (πŸ₯‰20 Β· ⭐ 550 Β· πŸ’€) - Python library assists deep learning on graphs. MIT +- deepsnap (πŸ₯‰20 Β· ⭐ 560 Β· πŸ’€) - Python library assists deep learning on graphs. MIT - GraphGym (πŸ₯‰19 Β· ⭐ 1.7K Β· πŸ’€) - Platform for designing and evaluating Graph Neural Networks (GNN). MIT - DeepGraph (πŸ₯‰18 Β· ⭐ 290 Β· πŸ’€) - Analyze Data with Pandas-based Networks. Documentation:. BSD-3 - kglib (πŸ₯‰17 Β· ⭐ 550 Β· πŸ’€) - TypeDB-ML is the Machine Learning integrations library for TypeDB. Apache-2 @@ -2907,7 +2918,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas - Euler (πŸ₯‰16 Β· ⭐ 2.9K Β· πŸ’€) - A distributed graph deep learning framework. Apache-2 - ptgnn (πŸ₯‰15 Β· ⭐ 380 Β· πŸ’€) - A PyTorch Graph Neural Network Library. MIT - GraphEmbedding (πŸ₯‰14 Β· ⭐ 3.8K Β· πŸ’€) - Implementation and experiments of graph embedding.. MIT -- GraphSAGE (πŸ₯‰14 Β· ⭐ 3.4K Β· πŸ’€) - Representation learning on large graphs using stochastic.. MIT +- GraphSAGE (πŸ₯‰14 Β· ⭐ 3.5K Β· πŸ’€) - Representation learning on large graphs using stochastic.. MIT - OpenKE (πŸ₯‰13 Β· ⭐ 3.9K Β· πŸ’€) - An Open-Source Package for Knowledge Embedding (KE). ❗Unlicensed

@@ -2918,33 +2929,33 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas _Libraries for audio analysis, manipulation, transformation, and extraction, as well as speech recognition and music generation tasks._ -
speechbrain (πŸ₯‡39 Β· ⭐ 9.1K) - A PyTorch-based Speech Toolkit. Apache-2 +
speechbrain (πŸ₯‡39 Β· ⭐ 9.2K) - A PyTorch-based Speech Toolkit. Apache-2 -- [GitHub](https://github.com/speechbrain/speechbrain) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 1.4K Β· πŸ“¦ 2.7K Β· πŸ“‹ 1.2K - 12% open Β· ⏱️ 28.12.2024): +- [GitHub](https://github.com/speechbrain/speechbrain) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 1.4K Β· πŸ“¦ 2.7K Β· πŸ“‹ 1.2K - 12% open Β· ⏱️ 07.01.2025): ``` git clone https://github.com/speechbrain/speechbrain ``` -- [PyPi](https://pypi.org/project/speechbrain) (πŸ“₯ 2.3M / month Β· πŸ“¦ 67 Β· ⏱️ 30.10.2024): +- [PyPi](https://pypi.org/project/speechbrain) (πŸ“₯ 2M / month Β· πŸ“¦ 67 Β· ⏱️ 30.10.2024): ``` pip install speechbrain ```
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espnet (πŸ₯‡38 Β· ⭐ 8.6K) - End-to-End Speech Processing Toolkit. Apache-2 +
espnet (πŸ₯‡38 Β· ⭐ 8.7K) - End-to-End Speech Processing Toolkit. Apache-2 -- [GitHub](https://github.com/espnet/espnet) (πŸ‘¨β€πŸ’» 480 Β· πŸ”€ 2.2K Β· πŸ“₯ 83 Β· πŸ“¦ 400 Β· πŸ“‹ 2.5K - 14% open Β· ⏱️ 02.01.2025): +- [GitHub](https://github.com/espnet/espnet) (πŸ‘¨β€πŸ’» 480 Β· πŸ”€ 2.2K Β· πŸ“₯ 83 Β· πŸ“¦ 400 Β· πŸ“‹ 2.5K - 14% open Β· ⏱️ 08.01.2025): ``` git clone https://github.com/espnet/espnet ``` -- [PyPi](https://pypi.org/project/espnet) (πŸ“₯ 21K / month Β· πŸ“¦ 12 Β· ⏱️ 04.12.2024): +- [PyPi](https://pypi.org/project/espnet) (πŸ“₯ 19K / month Β· πŸ“¦ 12 Β· ⏱️ 04.12.2024): ``` pip install espnet ```
SpeechRecognition (πŸ₯‡36 Β· ⭐ 8.5K) - Speech recognition module for Python, supporting several.. BSD-3 -- [GitHub](https://github.com/Uberi/speech_recognition) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 2.4K Β· πŸ“¦ 21 Β· πŸ“‹ 660 - 49% open Β· ⏱️ 31.12.2024): +- [GitHub](https://github.com/Uberi/speech_recognition) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 2.4K Β· πŸ“¦ 21 Β· πŸ“‹ 660 - 49% open Β· ⏱️ 04.01.2025): ``` git clone https://github.com/Uberi/speech_recognition @@ -2958,32 +2969,32 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as conda install -c conda-forge speechrecognition ```
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torchaudio (πŸ₯ˆ35 Β· ⭐ 2.6K) - Data manipulation and transformation for audio signal.. BSD-2 +
Coqui TTS (πŸ₯ˆ35 Β· ⭐ 37K Β· πŸ’€) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0 -- [GitHub](https://github.com/pytorch/audio) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 660 Β· πŸ“‹ 990 - 26% open Β· ⏱️ 20.12.2024): +- [GitHub](https://github.com/coqui-ai/TTS) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 4.4K Β· πŸ“₯ 3.9M Β· πŸ“¦ 2.1K Β· πŸ“‹ 1.2K - 7% open Β· ⏱️ 10.02.2024): ``` - git clone https://github.com/pytorch/audio + git clone https://github.com/coqui-ai/TTS ``` -- [PyPi](https://pypi.org/project/torchaudio) (πŸ“₯ 4.8M / month Β· πŸ“¦ 1.4K Β· ⏱️ 29.10.2024): +- [PyPi](https://pypi.org/project/tts) (πŸ“₯ 150K / month Β· πŸ“¦ 53 Β· ⏱️ 12.12.2023): ``` - pip install torchaudio + pip install tts + ``` +- [Conda](https://anaconda.org/conda-forge/tts) (πŸ“₯ 21K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge tts ```
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Coqui TTS (πŸ₯ˆ34 Β· ⭐ 37K Β· πŸ’€) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0 +
torchaudio (πŸ₯ˆ35 Β· ⭐ 2.6K) - Data manipulation and transformation for audio signal.. BSD-2 -- [GitHub](https://github.com/coqui-ai/TTS) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 4.4K Β· πŸ“₯ 3.9M Β· πŸ“¦ 2K Β· πŸ“‹ 1.2K - 7% open Β· ⏱️ 10.02.2024): +- [GitHub](https://github.com/pytorch/audio) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 660 Β· πŸ“‹ 990 - 26% open Β· ⏱️ 20.12.2024): ``` - git clone https://github.com/coqui-ai/TTS - ``` -- [PyPi](https://pypi.org/project/tts) (πŸ“₯ 140K / month Β· πŸ“¦ 53 Β· ⏱️ 12.12.2023): + git clone https://github.com/pytorch/audio ``` - pip install tts +- [PyPi](https://pypi.org/project/torchaudio) (πŸ“₯ 4.5M / month Β· πŸ“¦ 1.4K Β· ⏱️ 29.10.2024): ``` -- [Conda](https://anaconda.org/conda-forge/tts) (πŸ“₯ 21K Β· ⏱️ 16.06.2023): - ``` - conda install -c conda-forge tts + pip install torchaudio ```
Magenta (πŸ₯ˆ33 Β· ⭐ 19K) - Magenta: Music and Art Generation with Machine Intelligence. Apache-2 @@ -2993,14 +3004,14 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/magenta/magenta ``` -- [PyPi](https://pypi.org/project/magenta) (πŸ“₯ 8.5K / month Β· πŸ“¦ 5 Β· ⏱️ 01.08.2022): +- [PyPi](https://pypi.org/project/magenta) (πŸ“₯ 8.2K / month Β· πŸ“¦ 5 Β· ⏱️ 01.08.2022): ``` pip install magenta ```
spleeter (πŸ₯ˆ31 Β· ⭐ 26K) - Deezer source separation library including pretrained models. MIT -- [GitHub](https://github.com/deezer/spleeter) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 2.9K Β· πŸ“₯ 3.7M Β· πŸ“¦ 860 Β· πŸ“‹ 800 - 29% open Β· ⏱️ 29.10.2024): +- [GitHub](https://github.com/deezer/spleeter) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 2.9K Β· πŸ“₯ 3.7M Β· πŸ“¦ 870 Β· πŸ“‹ 800 - 29% open Β· ⏱️ 29.10.2024): ``` git clone https://github.com/deezer/spleeter @@ -3030,44 +3041,44 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as conda install -c conda-forge librosa ```
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Porcupine (πŸ₯ˆ30 Β· ⭐ 3.8K) - On-device wake word detection powered by deep learning. Apache-2 +
python-soundfile (πŸ₯ˆ31 Β· ⭐ 730) - SoundFile is an audio library based on libsndfile, CFFI, and.. BSD-3 -- [GitHub](https://github.com/Picovoice/porcupine) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 500 Β· πŸ“¦ 36 Β· πŸ“‹ 560 - 0% open Β· ⏱️ 14.12.2024): +- [GitHub](https://github.com/bastibe/python-soundfile) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 110 Β· πŸ“₯ 21K Β· πŸ“¦ 49K Β· πŸ“‹ 260 - 46% open Β· ⏱️ 07.01.2025): ``` - git clone https://github.com/Picovoice/Porcupine + git clone https://github.com/bastibe/python-soundfile ``` -- [PyPi](https://pypi.org/project/pvporcupine) (πŸ“₯ 10K / month Β· πŸ“¦ 35 Β· ⏱️ 27.08.2024): +- [PyPi](https://pypi.org/project/soundfile) (πŸ“₯ 3.3M / month Β· πŸ“¦ 1K Β· ⏱️ 02.01.2025): ``` - pip install pvporcupine + pip install soundfile + ``` +- [Conda](https://anaconda.org/anaconda/pysoundfile): + ``` + conda install -c anaconda pysoundfile ```
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audiomentations (πŸ₯ˆ30 Β· ⭐ 1.9K) - A Python library for audio data augmentation. Inspired by.. MIT +
Porcupine (πŸ₯ˆ30 Β· ⭐ 3.8K) - On-device wake word detection powered by deep learning. Apache-2 -- [GitHub](https://github.com/iver56/audiomentations) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 190 Β· πŸ“¦ 640 Β· πŸ“‹ 190 - 25% open Β· ⏱️ 09.12.2024): +- [GitHub](https://github.com/Picovoice/porcupine) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 500 Β· πŸ“¦ 36 Β· πŸ“‹ 570 - 0% open Β· ⏱️ 14.12.2024): ``` - git clone https://github.com/iver56/audiomentations + git clone https://github.com/Picovoice/Porcupine ``` -- [PyPi](https://pypi.org/project/audiomentations) (πŸ“₯ 41K / month Β· πŸ“¦ 21 Β· ⏱️ 06.12.2024): +- [PyPi](https://pypi.org/project/pvporcupine) (πŸ“₯ 10K / month Β· πŸ“¦ 35 Β· ⏱️ 27.08.2024): ``` - pip install audiomentations + pip install pvporcupine ```
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python-soundfile (πŸ₯ˆ30 Β· ⭐ 730) - SoundFile is an audio library based on libsndfile, CFFI, and.. BSD-3 +
audiomentations (πŸ₯ˆ30 Β· ⭐ 1.9K) - A Python library for audio data augmentation. Inspired by.. MIT -- [GitHub](https://github.com/bastibe/python-soundfile) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 110 Β· πŸ“₯ 21K Β· πŸ“¦ 49K Β· πŸ“‹ 260 - 47% open Β· ⏱️ 30.12.2024): +- [GitHub](https://github.com/iver56/audiomentations) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 190 Β· πŸ“¦ 650 Β· πŸ“‹ 190 - 25% open Β· ⏱️ 09.12.2024): ``` - git clone https://github.com/bastibe/python-soundfile - ``` -- [PyPi](https://pypi.org/project/soundfile) (πŸ“₯ 3.2M / month Β· πŸ“¦ 780 Β· ⏱️ 15.02.2023): - ``` - pip install soundfile + git clone https://github.com/iver56/audiomentations ``` -- [Conda](https://anaconda.org/anaconda/pysoundfile): +- [PyPi](https://pypi.org/project/audiomentations) (πŸ“₯ 40K / month Β· πŸ“¦ 21 Β· ⏱️ 06.12.2024): ``` - conda install -c anaconda pysoundfile + pip install audiomentations ```
tinytag (πŸ₯ˆ30 Β· ⭐ 720) - Python library for reading audio file metadata. MIT @@ -3077,7 +3088,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/devsnd/tinytag ``` -- [PyPi](https://pypi.org/project/tinytag) (πŸ“₯ 65K / month Β· πŸ“¦ 110 Β· ⏱️ 03.11.2024): +- [PyPi](https://pypi.org/project/tinytag) (πŸ“₯ 63K / month Β· πŸ“¦ 110 Β· ⏱️ 03.11.2024): ``` pip install tinytag ``` @@ -3101,7 +3112,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/magenta/ddsp ``` -- [PyPi](https://pypi.org/project/ddsp) (πŸ“₯ 3.6K / month Β· πŸ“¦ 1 Β· ⏱️ 25.05.2022): +- [PyPi](https://pypi.org/project/ddsp) (πŸ“₯ 3.3K / month Β· πŸ“¦ 1 Β· ⏱️ 25.05.2022): ``` pip install ddsp ``` @@ -3117,7 +3128,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/KinWaiCheuk/nnAudio ``` -- [PyPi](https://pypi.org/project/nnAudio) (πŸ“₯ 24K / month Β· πŸ“¦ 4 Β· ⏱️ 13.02.2024): +- [PyPi](https://pypi.org/project/nnAudio) (πŸ“₯ 25K / month Β· πŸ“¦ 4 Β· ⏱️ 13.02.2024): ``` pip install nnAudio ``` @@ -3126,14 +3137,14 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as - Pydub (πŸ₯‡36 Β· ⭐ 9.1K Β· πŸ’€) - Manipulate audio with a simple and easy high level interface. MIT - DeepSpeech (πŸ₯ˆ33 Β· ⭐ 26K Β· πŸ’€) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 +- Essentia (πŸ₯‰29 Β· ⭐ 2.9K Β· πŸ“ˆ) - C++ library for audio and music analysis, description and.. ❗️AGPL-3.0 - audioread (πŸ₯‰29 Β· ⭐ 500 Β· πŸ’€) - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio.. MIT - pyAudioAnalysis (πŸ₯‰28 Β· ⭐ 5.9K Β· πŸ’€) - Python Audio Analysis Library: Feature Extraction,.. Apache-2 - aubio (πŸ₯‰27 Β· ⭐ 3.4K Β· πŸ’€) - a library for audio and music analysis. ❗️GPL-3.0 -- Essentia (πŸ₯‰27 Β· ⭐ 2.9K Β· πŸ“‰) - C++ library for audio and music analysis, description and.. ❗️AGPL-3.0 - TTS (πŸ₯‰26 Β· ⭐ 9.5K Β· πŸ’€) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0 - python_speech_features (πŸ₯‰25 Β· ⭐ 2.4K Β· πŸ’€) - This library provides common speech features for ASR.. MIT - Dejavu (πŸ₯‰23 Β· ⭐ 6.5K Β· πŸ’€) - Audio fingerprinting and recognition in Python. MIT -- kapre (πŸ₯‰22 Β· ⭐ 930 Β· πŸ’€) - kapre: Keras Audio Preprocessors. MIT +- kapre (πŸ₯‰22 Β· ⭐ 920 Β· πŸ’€) - kapre: Keras Audio Preprocessors. MIT - Julius (πŸ₯‰21 Β· ⭐ 430 Β· πŸ’€) - Fast PyTorch based DSP for audio and 1D signals. MIT - TimeSide (πŸ₯‰21 Β· ⭐ 380) - scalable audio processing framework and server written in Python. ❗️AGPL-3.0 - Muda (πŸ₯‰18 Β· ⭐ 230 Β· πŸ’€) - A library for augmenting annotated audio data. ISC @@ -3147,14 +3158,14 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as _Libraries to load, process, analyze, and write geographic data as well as libraries for spatial analysis, map visualization, and geocoding._ -
pydeck (πŸ₯‡42 Β· ⭐ 12K) - WebGL2 powered visualization framework. MIT +
pydeck (πŸ₯‡43 Β· ⭐ 12K Β· πŸ“ˆ) - WebGL2 powered visualization framework. MIT -- [GitHub](https://github.com/visgl/deck.gl) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 2.1K Β· πŸ“¦ 8.5K Β· πŸ“‹ 3.1K - 11% open Β· ⏱️ 23.12.2024): +- [GitHub](https://github.com/visgl/deck.gl) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 2.1K Β· πŸ“¦ 8.5K Β· πŸ“‹ 3.1K - 11% open Β· ⏱️ 09.01.2025): ``` git clone https://github.com/visgl/deck.gl ``` -- [PyPi](https://pypi.org/project/pydeck) (πŸ“₯ 5M / month Β· πŸ“¦ 120 Β· ⏱️ 10.05.2024): +- [PyPi](https://pypi.org/project/pydeck) (πŸ“₯ 4.8M / month Β· πŸ“¦ 120 Β· ⏱️ 10.05.2024): ``` pip install pydeck ``` @@ -3162,23 +3173,23 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` conda install -c conda-forge pydeck ``` -- [npm](https://www.npmjs.com/package/deck.gl) (πŸ“₯ 420K / month Β· πŸ“¦ 310 Β· ⏱️ 11.12.2024): +- [npm](https://www.npmjs.com/package/deck.gl) (πŸ“₯ 390K / month Β· πŸ“¦ 310 Β· ⏱️ 11.12.2024): ``` npm install deck.gl ```
folium (πŸ₯‡40 Β· ⭐ 7K) - Python Data. Leaflet.js Maps. MIT -- [GitHub](https://github.com/python-visualization/folium) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 2.2K Β· πŸ“¦ 49K Β· πŸ“‹ 1.1K - 7% open Β· ⏱️ 02.01.2025): +- [GitHub](https://github.com/python-visualization/folium) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 2.2K Β· πŸ“¦ 49K Β· πŸ“‹ 1.1K - 7% open Β· ⏱️ 06.01.2025): ``` git clone https://github.com/python-visualization/folium ``` -- [PyPi](https://pypi.org/project/folium) (πŸ“₯ 1.5M / month Β· πŸ“¦ 820 Β· ⏱️ 29.12.2024): +- [PyPi](https://pypi.org/project/folium) (πŸ“₯ 1.5M / month Β· πŸ“¦ 820 Β· ⏱️ 06.01.2025): ``` pip install folium ``` -- [Conda](https://anaconda.org/conda-forge/folium) (πŸ“₯ 3.3M Β· ⏱️ 01.01.2025): +- [Conda](https://anaconda.org/conda-forge/folium) (πŸ“₯ 3.4M Β· ⏱️ 07.01.2025): ``` conda install -c conda-forge folium ``` @@ -3190,7 +3201,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` git clone https://github.com/shapely/shapely ``` -- [PyPi](https://pypi.org/project/shapely) (πŸ“₯ 29M / month Β· πŸ“¦ 2.9K Β· ⏱️ 19.08.2024): +- [PyPi](https://pypi.org/project/shapely) (πŸ“₯ 28M / month Β· πŸ“¦ 2.9K Β· ⏱️ 19.08.2024): ``` pip install shapely ``` @@ -3201,28 +3212,28 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
GeoPandas (πŸ₯ˆ38 Β· ⭐ 4.6K) - Python tools for geographic data. BSD-3 -- [GitHub](https://github.com/geopandas/geopandas) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 930 Β· πŸ“₯ 2.9K Β· πŸ“¦ 46K Β· πŸ“‹ 1.7K - 26% open Β· ⏱️ 26.12.2024): +- [GitHub](https://github.com/geopandas/geopandas) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 940 Β· πŸ“₯ 2.9K Β· πŸ“¦ 46K Β· πŸ“‹ 1.7K - 25% open Β· ⏱️ 26.12.2024): ``` git clone https://github.com/geopandas/geopandas ``` -- [PyPi](https://pypi.org/project/geopandas) (πŸ“₯ 6M / month Β· πŸ“¦ 2.8K Β· ⏱️ 02.07.2024): +- [PyPi](https://pypi.org/project/geopandas) (πŸ“₯ 5.9M / month Β· πŸ“¦ 2.8K Β· ⏱️ 02.07.2024): ``` pip install geopandas ``` -- [Conda](https://anaconda.org/conda-forge/geopandas) (πŸ“₯ 4.2M Β· ⏱️ 16.12.2024): +- [Conda](https://anaconda.org/conda-forge/geopandas) (πŸ“₯ 4.3M Β· ⏱️ 16.12.2024): ``` conda install -c conda-forge geopandas ```
Rasterio (πŸ₯ˆ37 Β· ⭐ 2.3K) - Rasterio reads and writes geospatial raster datasets. BSD-3 -- [GitHub](https://github.com/rasterio/rasterio) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 540 Β· πŸ“₯ 1K Β· πŸ“¦ 14K Β· πŸ“‹ 1.9K - 7% open Β· ⏱️ 15.12.2024): +- [GitHub](https://github.com/rasterio/rasterio) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 540 Β· πŸ“₯ 1K Β· πŸ“¦ 15K Β· πŸ“‹ 1.9K - 7% open Β· ⏱️ 15.12.2024): ``` git clone https://github.com/rasterio/rasterio ``` -- [PyPi](https://pypi.org/project/rasterio) (πŸ“₯ 2.1M / month Β· πŸ“¦ 1.5K Β· ⏱️ 02.12.2024): +- [PyPi](https://pypi.org/project/rasterio) (πŸ“₯ 2M / month Β· πŸ“¦ 1.5K Β· ⏱️ 02.12.2024): ``` pip install rasterio ``` @@ -3233,12 +3244,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
ArcGIS API (πŸ₯ˆ36 Β· ⭐ 1.9K) - Documentation and samples for ArcGIS API for Python. Apache-2 -- [GitHub](https://github.com/Esri/arcgis-python-api) (πŸ‘¨β€πŸ’» 94 Β· πŸ”€ 1.1K Β· πŸ“₯ 13K Β· πŸ“¦ 880 Β· πŸ“‹ 790 - 10% open Β· ⏱️ 03.12.2024): +- [GitHub](https://github.com/Esri/arcgis-python-api) (πŸ‘¨β€πŸ’» 94 Β· πŸ”€ 1.1K Β· πŸ“₯ 13K Β· πŸ“¦ 880 Β· πŸ“‹ 800 - 7% open Β· ⏱️ 03.12.2024): ``` git clone https://github.com/Esri/arcgis-python-api ``` -- [PyPi](https://pypi.org/project/arcgis) (πŸ“₯ 82K / month Β· πŸ“¦ 40 Β· ⏱️ 01.10.2024): +- [PyPi](https://pypi.org/project/arcgis) (πŸ“₯ 80K / month Β· πŸ“¦ 40 Β· ⏱️ 01.10.2024): ``` pip install arcgis ``` @@ -3249,12 +3260,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
Fiona (πŸ₯ˆ36 Β· ⭐ 1.2K) - Fiona reads and writes geographic data files. BSD-3 -- [GitHub](https://github.com/Toblerity/Fiona) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 210 Β· πŸ“¦ 24K Β· πŸ“‹ 810 - 4% open Β· ⏱️ 29.12.2024): +- [GitHub](https://github.com/Toblerity/Fiona) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 210 Β· πŸ“¦ 24K Β· πŸ“‹ 810 - 4% open Β· ⏱️ 07.01.2025): ``` git clone https://github.com/Toblerity/Fiona ``` -- [PyPi](https://pypi.org/project/fiona) (πŸ“₯ 4M / month Β· πŸ“¦ 300 Β· ⏱️ 16.09.2024): +- [PyPi](https://pypi.org/project/fiona) (πŸ“₯ 3.9M / month Β· πŸ“¦ 300 Β· ⏱️ 16.09.2024): ``` pip install fiona ``` @@ -3265,12 +3276,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
pyproj (πŸ₯ˆ36 Β· ⭐ 1.1K) - Python interface to PROJ (cartographic projections and coordinate.. MIT -- [GitHub](https://github.com/pyproj4/pyproj) (πŸ‘¨β€πŸ’» 69 Β· πŸ”€ 220 Β· πŸ“¦ 37K Β· πŸ“‹ 630 - 5% open Β· ⏱️ 04.12.2024): +- [GitHub](https://github.com/pyproj4/pyproj) (πŸ‘¨β€πŸ’» 69 Β· πŸ”€ 220 Β· πŸ“¦ 38K Β· πŸ“‹ 620 - 4% open Β· ⏱️ 04.12.2024): ``` git clone https://github.com/pyproj4/pyproj ``` -- [PyPi](https://pypi.org/project/pyproj) (πŸ“₯ 8.1M / month Β· πŸ“¦ 1.7K Β· ⏱️ 01.10.2024): +- [PyPi](https://pypi.org/project/pyproj) (πŸ“₯ 7.9M / month Β· πŸ“¦ 1.7K Β· ⏱️ 01.10.2024): ``` pip install pyproj ``` @@ -3286,7 +3297,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` git clone https://github.com/jupyter-widgets/ipyleaflet ``` -- [PyPi](https://pypi.org/project/ipyleaflet) (πŸ“₯ 180K / month Β· πŸ“¦ 280 Β· ⏱️ 22.07.2024): +- [PyPi](https://pypi.org/project/ipyleaflet) (πŸ“₯ 160K / month Β· πŸ“¦ 280 Β· ⏱️ 22.07.2024): ``` pip install ipyleaflet ``` @@ -3294,7 +3305,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` conda install -c conda-forge ipyleaflet ``` -- [npm](https://www.npmjs.com/package/jupyter-leaflet) (πŸ“₯ 5.2K / month Β· πŸ“¦ 9 Β· ⏱️ 22.07.2024): +- [npm](https://www.npmjs.com/package/jupyter-leaflet) (πŸ“₯ 5.1K / month Β· πŸ“¦ 9 Β· ⏱️ 22.07.2024): ``` npm install jupyter-leaflet ``` @@ -3306,55 +3317,55 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` git clone https://github.com/jazzband/geojson ``` -- [PyPi](https://pypi.org/project/geojson) (πŸ“₯ 2.1M / month Β· πŸ“¦ 720 Β· ⏱️ 21.12.2024): +- [PyPi](https://pypi.org/project/geojson) (πŸ“₯ 2M / month Β· πŸ“¦ 720 Β· ⏱️ 21.12.2024): ``` pip install geojson ``` -- [Conda](https://anaconda.org/conda-forge/geojson) (πŸ“₯ 890K Β· ⏱️ 22.12.2024): +- [Conda](https://anaconda.org/conda-forge/geojson) (πŸ“₯ 900K Β· ⏱️ 22.12.2024): ``` conda install -c conda-forge geojson ```
-
PySAL (πŸ₯‰29 Β· ⭐ 1.4K) - PySAL: Python Spatial Analysis Library Meta-Package. BSD-3 +
GeoViews (πŸ₯‰29 Β· ⭐ 610) - Simple, concise geographical visualization in Python. BSD-3 -- [GitHub](https://github.com/pysal/pysal) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 300 Β· πŸ“¦ 1.7K Β· πŸ“‹ 650 - 2% open Β· ⏱️ 18.11.2024): +- [GitHub](https://github.com/holoviz/geoviews) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 77 Β· πŸ“¦ 1.2K Β· πŸ“‹ 350 - 30% open Β· ⏱️ 17.12.2024): ``` - git clone https://github.com/pysal/pysal + git clone https://github.com/holoviz/geoviews ``` -- [PyPi](https://pypi.org/project/pysal) (πŸ“₯ 29K / month Β· πŸ“¦ 49 Β· ⏱️ 30.07.2024): +- [PyPi](https://pypi.org/project/geoviews) (πŸ“₯ 12K / month Β· πŸ“¦ 63 Β· ⏱️ 17.12.2024): ``` - pip install pysal + pip install geoviews ``` -- [Conda](https://anaconda.org/conda-forge/pysal) (πŸ“₯ 590K Β· ⏱️ 23.12.2024): +- [Conda](https://anaconda.org/conda-forge/geoviews) (πŸ“₯ 270K Β· ⏱️ 18.12.2024): ``` - conda install -c conda-forge pysal + conda install -c conda-forge geoviews ```
-
GeoViews (πŸ₯‰29 Β· ⭐ 600) - Simple, concise geographical visualization in Python. BSD-3 +
PySAL (πŸ₯‰28 Β· ⭐ 1.4K) - PySAL: Python Spatial Analysis Library Meta-Package. BSD-3 -- [GitHub](https://github.com/holoviz/geoviews) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 77 Β· πŸ“¦ 1.2K Β· πŸ“‹ 350 - 30% open Β· ⏱️ 17.12.2024): +- [GitHub](https://github.com/pysal/pysal) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 300 Β· πŸ“¦ 1.7K Β· πŸ“‹ 650 - 2% open Β· ⏱️ 18.11.2024): ``` - git clone https://github.com/holoviz/geoviews + git clone https://github.com/pysal/pysal ``` -- [PyPi](https://pypi.org/project/geoviews) (πŸ“₯ 14K / month Β· πŸ“¦ 63 Β· ⏱️ 17.12.2024): +- [PyPi](https://pypi.org/project/pysal) (πŸ“₯ 27K / month Β· πŸ“¦ 49 Β· ⏱️ 30.07.2024): ``` - pip install geoviews + pip install pysal ``` -- [Conda](https://anaconda.org/conda-forge/geoviews) (πŸ“₯ 270K Β· ⏱️ 18.12.2024): +- [Conda](https://anaconda.org/conda-forge/pysal) (πŸ“₯ 600K Β· ⏱️ 23.12.2024): ``` - conda install -c conda-forge geoviews + conda install -c conda-forge pysal ```
-
pymap3d (πŸ₯‰24 Β· ⭐ 400 Β· πŸ’€) - pure-Python (Numpy optional) 3D coordinate conversions for geospace.. BSD-2 +
pymap3d (πŸ₯‰25 Β· ⭐ 400) - pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef.. BSD-2 -- [GitHub](https://github.com/geospace-code/pymap3d) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 87 Β· πŸ“¦ 460 Β· πŸ“‹ 58 - 15% open Β· ⏱️ 11.02.2024): +- [GitHub](https://github.com/geospace-code/pymap3d) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 87 Β· πŸ“¦ 460 Β· πŸ“‹ 60 - 15% open Β· ⏱️ 08.01.2025): ``` git clone https://github.com/geospace-code/pymap3d ``` -- [PyPi](https://pypi.org/project/pymap3d) (πŸ“₯ 210K / month Β· πŸ“¦ 44 Β· ⏱️ 11.02.2024): +- [PyPi](https://pypi.org/project/pymap3d) (πŸ“₯ 200K / month Β· πŸ“¦ 44 Β· ⏱️ 11.02.2024): ``` pip install pymap3d ``` @@ -3367,7 +3378,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra - geopy (πŸ₯ˆ33 Β· ⭐ 4.5K Β· πŸ’€) - Geocoding library for Python. MIT - Geocoder (πŸ₯ˆ33 Β· ⭐ 1.6K Β· πŸ’€) - Python Geocoder. MIT -- Satpy (πŸ₯‰32 Β· ⭐ 1.1K) - Python package for earth-observing satellite data processing. ❗️GPL-3.0 +- Satpy (πŸ₯‰31 Β· ⭐ 1.1K) - Python package for earth-observing satellite data processing. ❗️GPL-3.0 - Sentinelsat (πŸ₯‰27 Β· ⭐ 990 Β· πŸ’€) - Search and download Copernicus Sentinel satellite images. ❗️GPL-3.0 - EarthPy (πŸ₯‰26 Β· ⭐ 510 Β· πŸ’€) - A package built to support working with spatial data using open.. BSD-3 - Mapbox GL (πŸ₯‰24 Β· ⭐ 670 Β· πŸ’€) - Use Mapbox GL JS to visualize data in a Python Jupyter notebook. MIT @@ -3385,12 +3396,12 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
yfinance (πŸ₯‡41 Β· ⭐ 15K) - Download market data from Yahoo! Finances API. Apache-2 -- [GitHub](https://github.com/ranaroussi/yfinance) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 2.5K Β· πŸ“¦ 56K Β· πŸ“‹ 1.4K - 13% open Β· ⏱️ 19.12.2024): +- [GitHub](https://github.com/ranaroussi/yfinance) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 2.5K Β· πŸ“¦ 57K Β· πŸ“‹ 1.4K - 13% open Β· ⏱️ 19.12.2024): ``` git clone https://github.com/ranaroussi/yfinance ``` -- [PyPi](https://pypi.org/project/yfinance) (πŸ“₯ 3.1M / month Β· πŸ“¦ 740 Β· ⏱️ 19.12.2024): +- [PyPi](https://pypi.org/project/yfinance) (πŸ“₯ 3.2M / month Β· πŸ“¦ 740 Β· ⏱️ 19.12.2024): ``` pip install yfinance ``` @@ -3401,12 +3412,12 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
Qlib (πŸ₯ˆ31 Β· ⭐ 16K) - Qlib is an AI-oriented quantitative investment platform that aims to.. MIT -- [GitHub](https://github.com/microsoft/qlib) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 2.7K Β· πŸ“₯ 750 Β· πŸ“¦ 21 Β· πŸ“‹ 940 - 26% open Β· ⏱️ 02.01.2025): +- [GitHub](https://github.com/microsoft/qlib) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 2.7K Β· πŸ“₯ 750 Β· πŸ“¦ 21 Β· πŸ“‹ 950 - 26% open Β· ⏱️ 09.01.2025): ``` git clone https://github.com/microsoft/qlib ``` -- [PyPi](https://pypi.org/project/pyqlib) (πŸ“₯ 6.1K / month Β· πŸ“¦ 1 Β· ⏱️ 23.12.2024): +- [PyPi](https://pypi.org/project/pyqlib) (πŸ“₯ 7.1K / month Β· πŸ“¦ 1 Β· ⏱️ 23.12.2024): ``` pip install pyqlib ``` @@ -3418,11 +3429,11 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/pmorissette/bt ``` -- [PyPi](https://pypi.org/project/bt) (πŸ“₯ 7.5K / month Β· πŸ“¦ 10 Β· ⏱️ 06.08.2024): +- [PyPi](https://pypi.org/project/bt) (πŸ“₯ 6.9K / month Β· πŸ“¦ 10 Β· ⏱️ 06.08.2024): ``` pip install bt ``` -- [Conda](https://anaconda.org/conda-forge/bt) (πŸ“₯ 57K Β· ⏱️ 21.09.2024): +- [Conda](https://anaconda.org/conda-forge/bt) (πŸ“₯ 58K Β· ⏱️ 21.09.2024): ``` conda install -c conda-forge bt ``` @@ -3445,12 +3456,12 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
IB-insync (πŸ₯ˆ27 Β· ⭐ 2.9K Β· πŸ’€) - Python sync/async framework for Interactive Brokers API. BSD-2 -- [GitHub](https://github.com/erdewit/ib_insync) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 780 Β· πŸ“‹ 590 - 3% open Β· ⏱️ 14.03.2024): +- [GitHub](https://github.com/erdewit/ib_insync) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 790 Β· πŸ“‹ 590 - 3% open Β· ⏱️ 14.03.2024): ``` git clone https://github.com/erdewit/ib_insync ``` -- [PyPi](https://pypi.org/project/ib_insync) (πŸ“₯ 35K / month Β· πŸ“¦ 44 Β· ⏱️ 21.11.2022): +- [PyPi](https://pypi.org/project/ib_insync) (πŸ“₯ 36K / month Β· πŸ“¦ 44 Β· ⏱️ 21.11.2022): ``` pip install ib_insync ``` @@ -3461,12 +3472,12 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
stockstats (πŸ₯ˆ27 Β· ⭐ 1.3K) - Supply a wrapper ``StockDataFrame`` based on the.. BSD-3 -- [GitHub](https://github.com/jealous/stockstats) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 300 Β· πŸ“¦ 1.1K Β· πŸ“‹ 130 - 11% open Β· ⏱️ 22.12.2024): +- [GitHub](https://github.com/jealous/stockstats) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 300 Β· πŸ“¦ 1.2K Β· πŸ“‹ 130 - 11% open Β· ⏱️ 22.12.2024): ``` git clone https://github.com/jealous/stockstats ``` -- [PyPi](https://pypi.org/project/stockstats) (πŸ“₯ 9.6K / month Β· πŸ“¦ 12 Β· ⏱️ 22.12.2024): +- [PyPi](https://pypi.org/project/stockstats) (πŸ“₯ 9.2K / month Β· πŸ“¦ 12 Β· ⏱️ 22.12.2024): ``` pip install stockstats ``` @@ -3478,11 +3489,11 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/tensortrade-org/tensortrade ``` -- [PyPi](https://pypi.org/project/tensortrade) (πŸ“₯ 1.8K / month Β· πŸ“¦ 1 Β· ⏱️ 10.05.2021): +- [PyPi](https://pypi.org/project/tensortrade) (πŸ“₯ 1.6K / month Β· πŸ“¦ 1 Β· ⏱️ 10.05.2021): ``` pip install tensortrade ``` -- [Conda](https://anaconda.org/conda-forge/tensortrade) (πŸ“₯ 4.3K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/tensortrade) (πŸ“₯ 4.4K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge tensortrade ``` @@ -3494,11 +3505,11 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/RomelTorres/alpha_vantage ``` -- [PyPi](https://pypi.org/project/alpha_vantage) (πŸ“₯ 39K / month Β· πŸ“¦ 35 Β· ⏱️ 18.07.2024): +- [PyPi](https://pypi.org/project/alpha_vantage) (πŸ“₯ 40K / month Β· πŸ“¦ 35 Β· ⏱️ 18.07.2024): ``` pip install alpha_vantage ``` -- [Conda](https://anaconda.org/conda-forge/alpha_vantage) (πŸ“₯ 8K Β· ⏱️ 09.08.2024): +- [Conda](https://anaconda.org/conda-forge/alpha_vantage) (πŸ“₯ 8.1K Β· ⏱️ 09.08.2024): ``` conda install -c conda-forge alpha_vantage ``` @@ -3510,7 +3521,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/cuemacro/finmarketpy ``` -- [PyPi](https://pypi.org/project/finmarketpy) (πŸ“₯ 490 / month Β· ⏱️ 19.05.2024): +- [PyPi](https://pypi.org/project/finmarketpy) (πŸ“₯ 520 / month Β· ⏱️ 19.05.2024): ``` pip install finmarketpy ``` @@ -3522,7 +3533,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/google/tf-quant-finance ``` -- [PyPi](https://pypi.org/project/tf-quant-finance) (πŸ“₯ 850 / month Β· πŸ“¦ 3 Β· ⏱️ 19.08.2022): +- [PyPi](https://pypi.org/project/tf-quant-finance) (πŸ“₯ 880 / month Β· πŸ“¦ 3 Β· ⏱️ 19.08.2022): ``` pip install tf-quant-finance ``` @@ -3532,7 +3543,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te - zipline (πŸ₯‡32 Β· ⭐ 18K Β· πŸ’€) - Zipline, a Pythonic Algorithmic Trading Library. Apache-2 - arch (πŸ₯‡32 Β· ⭐ 1.3K) - ARCH models in Python. ❗Unlicensed - pyfolio (πŸ₯ˆ31 Β· ⭐ 5.8K Β· πŸ’€) - Portfolio and risk analytics in Python. Apache-2 -- ta (πŸ₯ˆ30 Β· ⭐ 4.4K Β· πŸ’€) - Technical Analysis Library using Pandas and Numpy. MIT +- ta (πŸ₯ˆ31 Β· ⭐ 4.4K Β· πŸ’€) - Technical Analysis Library using Pandas and Numpy. MIT - backtrader (πŸ₯ˆ28 Β· ⭐ 15K Β· πŸ’€) - Python Backtesting library for trading strategies. ❗️GPL-3.0 - Alphalens (πŸ₯ˆ27 Β· ⭐ 3.5K Β· πŸ’€) - Performance analysis of predictive (alpha) stock factors. Apache-2 - empyrical (πŸ₯ˆ27 Β· ⭐ 1.3K Β· πŸ’€) - Common financial risk and performance metrics. Used by.. Apache-2 @@ -3555,28 +3566,28 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
sktime (πŸ₯‡39 Β· ⭐ 8.1K) - A unified framework for machine learning with time series. BSD-3 -- [GitHub](https://github.com/sktime/sktime) (πŸ‘¨β€πŸ’» 430 Β· πŸ”€ 1.4K Β· πŸ“₯ 110 Β· πŸ“¦ 3.7K Β· πŸ“‹ 2.6K - 38% open Β· ⏱️ 30.12.2024): +- [GitHub](https://github.com/sktime/sktime) (πŸ‘¨β€πŸ’» 430 Β· πŸ”€ 1.4K Β· πŸ“₯ 110 Β· πŸ“¦ 3.8K Β· πŸ“‹ 2.6K - 38% open Β· ⏱️ 06.01.2025): ``` git clone https://github.com/alan-turing-institute/sktime ``` -- [PyPi](https://pypi.org/project/sktime) (πŸ“₯ 860K / month Β· πŸ“¦ 130 Β· ⏱️ 09.12.2024): +- [PyPi](https://pypi.org/project/sktime) (πŸ“₯ 820K / month Β· πŸ“¦ 130 Β· ⏱️ 09.12.2024): ``` pip install sktime ``` -- [Conda](https://anaconda.org/conda-forge/sktime-all-extras) (πŸ“₯ 1M Β· ⏱️ 14.12.2024): +- [Conda](https://anaconda.org/conda-forge/sktime-all-extras) (πŸ“₯ 1.1M Β· ⏱️ 04.01.2025): ``` conda install -c conda-forge sktime-all-extras ```
StatsForecast (πŸ₯‡34 Β· ⭐ 4.1K) - Lightning fast forecasting with statistical and econometric.. Apache-2 -- [GitHub](https://github.com/Nixtla/statsforecast) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 290 Β· πŸ“¦ 1.3K Β· πŸ“‹ 360 - 29% open Β· ⏱️ 30.12.2024): +- [GitHub](https://github.com/Nixtla/statsforecast) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 290 Β· πŸ“¦ 1.4K Β· πŸ“‹ 360 - 29% open Β· ⏱️ 30.12.2024): ``` git clone https://github.com/Nixtla/statsforecast ``` -- [PyPi](https://pypi.org/project/statsforecast) (πŸ“₯ 840K / month Β· πŸ“¦ 59 Β· ⏱️ 26.11.2024): +- [PyPi](https://pypi.org/project/statsforecast) (πŸ“₯ 930K / month Β· πŸ“¦ 59 Β· ⏱️ 26.11.2024): ``` pip install statsforecast ``` @@ -3585,7 +3596,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l conda install -c conda-forge statsforecast ```
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Prophet (πŸ₯‡32 Β· ⭐ 19K Β· πŸ“‰) - Tool for producing high quality forecasts for time series data that.. MIT +
Prophet (πŸ₯‡32 Β· ⭐ 19K) - Tool for producing high quality forecasts for time series data that has.. MIT - [GitHub](https://github.com/facebook/prophet) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 4.5K Β· πŸ“₯ 2.9K Β· πŸ“¦ 21 Β· πŸ“‹ 2.2K - 19% open Β· ⏱️ 20.10.2024): @@ -3603,12 +3614,12 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
tsfresh (πŸ₯‡32 Β· ⭐ 8.5K) - Automatic extraction of relevant features from time series:. MIT -- [GitHub](https://github.com/blue-yonder/tsfresh) (πŸ‘¨β€πŸ’» 98 Β· πŸ”€ 1.2K Β· πŸ“¦ 21 Β· πŸ“‹ 540 - 12% open Β· ⏱️ 19.11.2024): +- [GitHub](https://github.com/blue-yonder/tsfresh) (πŸ‘¨β€πŸ’» 98 Β· πŸ”€ 1.2K Β· πŸ“¦ 21 Β· πŸ“‹ 540 - 12% open Β· ⏱️ 05.01.2025): ``` git clone https://github.com/blue-yonder/tsfresh ``` -- [PyPi](https://pypi.org/project/tsfresh) (πŸ“₯ 230K / month Β· πŸ“¦ 93 Β· ⏱️ 03.08.2024): +- [PyPi](https://pypi.org/project/tsfresh) (πŸ“₯ 220K / month Β· πŸ“¦ 93 Β· ⏱️ 03.08.2024): ``` pip install tsfresh ``` @@ -3619,7 +3630,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
Darts (πŸ₯‡32 Β· ⭐ 8.2K) - A python library for user-friendly forecasting and anomaly detection.. Apache-2 -- [GitHub](https://github.com/unit8co/darts) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 890 Β· πŸ“‹ 1.6K - 15% open Β· ⏱️ 31.12.2024): +- [GitHub](https://github.com/unit8co/darts) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 890 Β· πŸ“‹ 1.6K - 15% open Β· ⏱️ 08.01.2025): ``` git clone https://github.com/unit8co/darts @@ -3637,62 +3648,62 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l docker pull unit8/darts ```
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pytorch-forecasting (πŸ₯ˆ31 Β· ⭐ 4K) - Time series forecasting with PyTorch. MIT +
pytorch-forecasting (πŸ₯ˆ31 Β· ⭐ 4.1K) - Time series forecasting with PyTorch. MIT -- [GitHub](https://github.com/sktime/pytorch-forecasting) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 630 Β· πŸ“¦ 460 Β· πŸ“‹ 800 - 60% open Β· ⏱️ 28.12.2024): +- [GitHub](https://github.com/sktime/pytorch-forecasting) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 640 Β· πŸ“¦ 460 Β· πŸ“‹ 800 - 60% open Β· ⏱️ 06.01.2025): ``` git clone https://github.com/jdb78/pytorch-forecasting ``` -- [PyPi](https://pypi.org/project/pytorch-forecasting) (πŸ“₯ 55K / month Β· πŸ“¦ 22 Β· ⏱️ 19.11.2024): +- [PyPi](https://pypi.org/project/pytorch-forecasting) (πŸ“₯ 58K / month Β· πŸ“¦ 22 Β· ⏱️ 19.11.2024): ``` pip install pytorch-forecasting ``` -- [Conda](https://anaconda.org/conda-forge/pytorch-forecasting) (πŸ“₯ 69K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/pytorch-forecasting) (πŸ“₯ 70K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge pytorch-forecasting ```
STUMPY (πŸ₯ˆ31 Β· ⭐ 3.7K) - STUMPY is a powerful and scalable Python library for modern time series.. BSD-3 -- [GitHub](https://github.com/TDAmeritrade/stumpy) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 320 Β· πŸ“¦ 990 Β· πŸ“‹ 520 - 13% open Β· ⏱️ 27.12.2024): +- [GitHub](https://github.com/TDAmeritrade/stumpy) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 320 Β· πŸ“¦ 1K Β· πŸ“‹ 520 - 13% open Β· ⏱️ 07.01.2025): ``` git clone https://github.com/TDAmeritrade/stumpy ``` -- [PyPi](https://pypi.org/project/stumpy) (πŸ“₯ 290K / month Β· πŸ“¦ 30 Β· ⏱️ 09.07.2024): +- [PyPi](https://pypi.org/project/stumpy) (πŸ“₯ 280K / month Β· πŸ“¦ 30 Β· ⏱️ 09.07.2024): ``` pip install stumpy ``` -- [Conda](https://anaconda.org/conda-forge/stumpy) (πŸ“₯ 1M Β· ⏱️ 21.12.2024): +- [Conda](https://anaconda.org/conda-forge/stumpy) (πŸ“₯ 1.1M Β· ⏱️ 21.12.2024): ``` conda install -c conda-forge stumpy ```
NeuralForecast (πŸ₯ˆ31 Β· ⭐ 3.2K) - Scalable and user friendly neural forecasting algorithms. Apache-2 -- [GitHub](https://github.com/Nixtla/neuralforecast) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 370 Β· πŸ“¦ 280 Β· πŸ“‹ 580 - 20% open Β· ⏱️ 19.12.2024): +- [GitHub](https://github.com/Nixtla/neuralforecast) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 370 Β· πŸ“¦ 280 Β· πŸ“‹ 590 - 20% open Β· ⏱️ 09.01.2025): ``` git clone https://github.com/Nixtla/neuralforecast ``` -- [PyPi](https://pypi.org/project/neuralforecast) (πŸ“₯ 53K / month Β· πŸ“¦ 21 Β· ⏱️ 16.12.2024): +- [PyPi](https://pypi.org/project/neuralforecast) (πŸ“₯ 47K / month Β· πŸ“¦ 23 Β· ⏱️ 02.01.2025): ``` pip install neuralforecast ``` -- [Conda](https://anaconda.org/conda-forge/neuralforecast) (πŸ“₯ 28K Β· ⏱️ 17.12.2024): +- [Conda](https://anaconda.org/conda-forge/neuralforecast) (πŸ“₯ 28K Β· ⏱️ 03.01.2025): ``` conda install -c conda-forge neuralforecast ```
pmdarima (πŸ₯ˆ31 Β· ⭐ 1.6K) - A statistical library designed to fill the void in Pythons time series.. MIT -- [GitHub](https://github.com/alkaline-ml/pmdarima) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 230 Β· πŸ“¦ 10K Β· πŸ“‹ 340 - 19% open Β· ⏱️ 07.11.2024): +- [GitHub](https://github.com/alkaline-ml/pmdarima) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 240 Β· πŸ“¦ 10K Β· πŸ“‹ 340 - 19% open Β· ⏱️ 07.11.2024): ``` git clone https://github.com/alkaline-ml/pmdarima ``` -- [PyPi](https://pypi.org/project/pmdarima) (πŸ“₯ 2.4M / month Β· πŸ“¦ 150 Β· ⏱️ 23.10.2023): +- [PyPi](https://pypi.org/project/pmdarima) (πŸ“₯ 2.5M / month Β· πŸ“¦ 150 Β· ⏱️ 23.10.2023): ``` pip install pmdarima ``` @@ -3703,7 +3714,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
skforecast (πŸ₯ˆ31 Β· ⭐ 1.2K) - Time series forecasting with machine learning models. BSD-3 -- [GitHub](https://github.com/skforecast/skforecast) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 140 Β· πŸ“¦ 380 Β· πŸ“‹ 180 - 11% open Β· ⏱️ 28.11.2024): +- [GitHub](https://github.com/skforecast/skforecast) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 140 Β· πŸ“¦ 380 Β· πŸ“‹ 190 - 12% open Β· ⏱️ 28.11.2024): ``` git clone https://github.com/JoaquinAmatRodrigo/skforecast @@ -3720,7 +3731,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/awslabs/gluon-ts ``` -- [PyPi](https://pypi.org/project/gluonts) (πŸ“₯ 480K / month Β· πŸ“¦ 33 Β· ⏱️ 11.11.2024): +- [PyPi](https://pypi.org/project/gluonts) (πŸ“₯ 490K / month Β· πŸ“¦ 33 Β· ⏱️ 11.11.2024): ``` pip install gluonts ``` @@ -3736,7 +3747,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/tslearn-team/tslearn ``` -- [PyPi](https://pypi.org/project/tslearn) (πŸ“₯ 350K / month Β· πŸ“¦ 79 Β· ⏱️ 12.12.2023): +- [PyPi](https://pypi.org/project/tslearn) (πŸ“₯ 330K / month Β· πŸ“¦ 79 Β· ⏱️ 12.12.2023): ``` pip install tslearn ``` @@ -3752,7 +3763,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/ourownstory/neural_prophet ``` -- [PyPi](https://pypi.org/project/neuralprophet) (πŸ“₯ 70K / month Β· πŸ“¦ 8 Β· ⏱️ 26.06.2024): +- [PyPi](https://pypi.org/project/neuralprophet) (πŸ“₯ 67K / month Β· πŸ“¦ 8 Β· ⏱️ 26.06.2024): ``` pip install neuralprophet ``` @@ -3764,7 +3775,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/python-streamz/streamz ``` -- [PyPi](https://pypi.org/project/streamz) (πŸ“₯ 25K / month Β· πŸ“¦ 57 Β· ⏱️ 27.07.2022): +- [PyPi](https://pypi.org/project/streamz) (πŸ“₯ 26K / month Β· πŸ“¦ 57 Β· ⏱️ 27.07.2022): ``` pip install streamz ``` @@ -3775,24 +3786,24 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
TSFEL (πŸ₯‰22 Β· ⭐ 960) - An intuitive library to extract features from time series. BSD-3 -- [GitHub](https://github.com/fraunhoferportugal/tsfel) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 140 Β· πŸ“¦ 160 Β· πŸ“‹ 79 - 8% open Β· ⏱️ 17.10.2024): +- [GitHub](https://github.com/fraunhoferportugal/tsfel) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 140 Β· πŸ“¦ 160 Β· πŸ“‹ 81 - 11% open Β· ⏱️ 17.10.2024): ``` git clone https://github.com/fraunhoferportugal/tsfel ``` -- [PyPi](https://pypi.org/project/tsfel) (πŸ“₯ 12K / month Β· πŸ“¦ 7 Β· ⏱️ 12.09.2024): +- [PyPi](https://pypi.org/project/tsfel) (πŸ“₯ 10K / month Β· πŸ“¦ 7 Β· ⏱️ 12.09.2024): ``` pip install tsfel ```
-
greykite (πŸ₯‰21 Β· ⭐ 1.8K Β· πŸ’€) - A flexible, intuitive and fast forecasting library. BSD-2 +
greykite (πŸ₯‰20 Β· ⭐ 1.8K Β· πŸ’€) - A flexible, intuitive and fast forecasting library. BSD-2 - [GitHub](https://github.com/linkedin/greykite) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 110 Β· πŸ“₯ 36 Β· πŸ“¦ 36 Β· πŸ“‹ 110 - 27% open Β· ⏱️ 16.01.2024): ``` git clone https://github.com/linkedin/greykite ``` -- [PyPi](https://pypi.org/project/greykite) (πŸ“₯ 8.5K / month Β· ⏱️ 12.01.2024): +- [PyPi](https://pypi.org/project/greykite) (πŸ“₯ 8K / month Β· ⏱️ 12.01.2024): ``` pip install greykite ``` @@ -3804,7 +3815,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/wwrechard/pydlm ``` -- [PyPi](https://pypi.org/project/pydlm) (πŸ“₯ 26K / month Β· πŸ“¦ 2 Β· ⏱️ 13.08.2024): +- [PyPi](https://pypi.org/project/pydlm) (πŸ“₯ 25K / month Β· πŸ“¦ 2 Β· ⏱️ 13.08.2024): ``` pip install pydlm ``` @@ -3816,7 +3827,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/predict-idlab/tsflex ``` -- [PyPi](https://pypi.org/project/tsflex) (πŸ“₯ 1.1K / month Β· πŸ“¦ 2 Β· ⏱️ 06.09.2024): +- [PyPi](https://pypi.org/project/tsflex) (πŸ“₯ 1K / month Β· πŸ“¦ 2 Β· ⏱️ 06.09.2024): ``` pip install tsflex ``` @@ -3842,7 +3853,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l - pyts (πŸ₯‰26 Β· ⭐ 1.8K Β· πŸ’€) - A Python package for time series classification. BSD-3 - PyFlux (πŸ₯‰25 Β· ⭐ 2.1K Β· πŸ’€) - Open source time series library for Python. BSD-3 - luminol (πŸ₯‰22 Β· ⭐ 1.2K Β· πŸ’€) - Anomaly Detection and Correlation library. Apache-2 -- ADTK (πŸ₯‰21 Β· ⭐ 1.1K Β· πŸ’€) - A Python toolkit for rule-based/unsupervised anomaly detection in.. MPL-2.0 +- ADTK (πŸ₯‰22 Β· ⭐ 1.1K Β· πŸ’€) - A Python toolkit for rule-based/unsupervised anomaly detection in.. MPL-2.0 - seglearn (πŸ₯‰21 Β· ⭐ 570 Β· πŸ’€) - Python module for machine learning time series:. BSD-3 - tick (πŸ₯‰21 Β· ⭐ 490 Β· πŸ’€) - Module for statistical learning, with a particular emphasis on time-.. BSD-3 - matrixprofile-ts (πŸ₯‰19 Β· ⭐ 730 Β· πŸ’€) - A Python library for detecting patterns and anomalies.. Apache-2 @@ -3860,28 +3871,28 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
MNE (πŸ₯‡39 Β· ⭐ 2.8K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. BSD-3 -- [GitHub](https://github.com/mne-tools/mne-python) (πŸ‘¨β€πŸ’» 380 Β· πŸ”€ 1.3K Β· πŸ“¦ 4.9K Β· πŸ“‹ 5K - 11% open Β· ⏱️ 01.01.2025): +- [GitHub](https://github.com/mne-tools/mne-python) (πŸ‘¨β€πŸ’» 380 Β· πŸ”€ 1.3K Β· πŸ“¦ 4.9K Β· πŸ“‹ 5K - 11% open Β· ⏱️ 08.01.2025): ``` git clone https://github.com/mne-tools/mne-python ``` -- [PyPi](https://pypi.org/project/mne) (πŸ“₯ 130K / month Β· πŸ“¦ 420 Β· ⏱️ 18.12.2024): +- [PyPi](https://pypi.org/project/mne) (πŸ“₯ 120K / month Β· πŸ“¦ 420 Β· ⏱️ 18.12.2024): ``` pip install mne ``` -- [Conda](https://anaconda.org/conda-forge/mne) (πŸ“₯ 460K Β· ⏱️ 19.12.2024): +- [Conda](https://anaconda.org/conda-forge/mne) (πŸ“₯ 460K Β· ⏱️ 07.01.2025): ``` conda install -c conda-forge mne ```
-
Nilearn (πŸ₯‡38 Β· ⭐ 1.2K) - Machine learning for NeuroImaging in Python. BSD-3 +
Nilearn (πŸ₯‡39 Β· ⭐ 1.2K Β· πŸ“ˆ) - Machine learning for NeuroImaging in Python. BSD-3 -- [GitHub](https://github.com/nilearn/nilearn) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 600 Β· πŸ“₯ 280 Β· πŸ“¦ 3.7K Β· πŸ“‹ 2.2K - 13% open Β· ⏱️ 02.01.2025): +- [GitHub](https://github.com/nilearn/nilearn) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 600 Β· πŸ“₯ 280 Β· πŸ“¦ 3.7K Β· πŸ“‹ 2.2K - 13% open Β· ⏱️ 09.01.2025): ``` git clone https://github.com/nilearn/nilearn ``` -- [PyPi](https://pypi.org/project/nilearn) (πŸ“₯ 66K / month Β· πŸ“¦ 310 Β· ⏱️ 23.12.2024): +- [PyPi](https://pypi.org/project/nilearn) (πŸ“₯ 65K / month Β· πŸ“¦ 310 Β· ⏱️ 23.12.2024): ``` pip install nilearn ``` @@ -3892,7 +3903,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
MONAI (πŸ₯ˆ36 Β· ⭐ 6K) - AI Toolkit for Healthcare Imaging. Apache-2 -- [GitHub](https://github.com/Project-MONAI/MONAI) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 1.1K Β· πŸ“¦ 3.3K Β· πŸ“‹ 3.2K - 12% open Β· ⏱️ 30.12.2024): +- [GitHub](https://github.com/Project-MONAI/MONAI) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 1.1K Β· πŸ“¦ 3.3K Β· πŸ“‹ 3.2K - 12% open Β· ⏱️ 06.01.2025): ``` git clone https://github.com/Project-MONAI/MONAI @@ -3901,7 +3912,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic ``` pip install monai ``` -- [Conda](https://anaconda.org/conda-forge/monai) (πŸ“₯ 36K Β· ⏱️ 23.12.2024): +- [Conda](https://anaconda.org/conda-forge/monai) (πŸ“₯ 37K Β· ⏱️ 23.12.2024): ``` conda install -c conda-forge monai ``` @@ -3929,7 +3940,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic ``` git clone https://github.com/nipy/nibabel ``` -- [PyPi](https://pypi.org/project/nibabel) (πŸ“₯ 500K / month Β· πŸ“¦ 1.2K Β· ⏱️ 23.10.2024): +- [PyPi](https://pypi.org/project/nibabel) (πŸ“₯ 480K / month Β· πŸ“¦ 1.2K Β· ⏱️ 23.10.2024): ``` pip install nibabel ``` @@ -3954,14 +3965,14 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic conda install -c conda-forge lifelines ```
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Hail (πŸ₯ˆ32 Β· ⭐ 980) - Cloud-native genomic dataframes and batch computing. MIT +
Hail (πŸ₯ˆ32 Β· ⭐ 990) - Cloud-native genomic dataframes and batch computing. MIT -- [GitHub](https://github.com/hail-is/hail) (πŸ‘¨β€πŸ’» 97 Β· πŸ”€ 250 Β· πŸ“¦ 150 Β· πŸ“‹ 2.5K - 10% open Β· ⏱️ 18.12.2024): +- [GitHub](https://github.com/hail-is/hail) (πŸ‘¨β€πŸ’» 97 Β· πŸ”€ 250 Β· πŸ“¦ 150 Β· πŸ“‹ 2.5K - 10% open Β· ⏱️ 07.01.2025): ``` git clone https://github.com/hail-is/hail ``` -- [PyPi](https://pypi.org/project/hail) (πŸ“₯ 290K / month Β· πŸ“¦ 34 Β· ⏱️ 04.10.2024): +- [PyPi](https://pypi.org/project/hail) (πŸ“₯ 260K / month Β· πŸ“¦ 34 Β· ⏱️ 04.10.2024): ``` pip install hail ``` @@ -3973,23 +3984,23 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic ``` git clone https://github.com/google/deepvariant ``` -- [Conda](https://anaconda.org/bioconda/deepvariant) (πŸ“₯ 72K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/bioconda/deepvariant) (πŸ“₯ 73K Β· ⏱️ 16.06.2023): ``` conda install -c bioconda deepvariant ```
Brainiak (πŸ₯‰20 Β· ⭐ 340) - Brain Imaging Analysis Kit. Apache-2 -- [GitHub](https://github.com/brainiak/brainiak) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 140 Β· πŸ“‹ 230 - 39% open Β· ⏱️ 09.12.2024): +- [GitHub](https://github.com/brainiak/brainiak) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 140 Β· πŸ“‹ 230 - 39% open Β· ⏱️ 06.01.2025): ``` git clone https://github.com/brainiak/brainiak ``` -- [PyPi](https://pypi.org/project/brainiak) (πŸ“₯ 2.7K / month Β· ⏱️ 11.12.2024): +- [PyPi](https://pypi.org/project/brainiak) (πŸ“₯ 2.9K / month Β· ⏱️ 07.01.2025): ``` pip install brainiak ``` -- [Docker Hub](https://hub.docker.com/r/brainiak/brainiak) (πŸ“₯ 1.9K Β· ⭐ 1 Β· ⏱️ 15.10.2020): +- [Docker Hub](https://hub.docker.com/r/brainiak/brainiak) (πŸ“₯ 1.9K Β· ⭐ 1 Β· ⏱️ 07.01.2025): ``` docker pull brainiak/brainiak ``` @@ -3997,14 +4008,14 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
Show 10 hidden projects... - DIPY (πŸ₯ˆ32 Β· ⭐ 730) - DIPY is the paragon 3D/4D+ medical imaging library in Python... ❗Unlicensed -- NIPY (πŸ₯‰26 Β· ⭐ 380) - Neuroimaging in Python FMRI analysis package. ❗Unlicensed - NiftyNet (πŸ₯‰25 Β· ⭐ 1.4K Β· πŸ’€) - [unmaintained] An open-source convolutional neural.. Apache-2 +- NIPY (πŸ₯‰25 Β· ⭐ 380) - Neuroimaging in Python FMRI analysis package. ❗Unlicensed - MedPy (πŸ₯‰23 Β· ⭐ 580) - Medical image processing in Python. ❗️GPL-3.0 - Glow (πŸ₯‰21 Β· ⭐ 270) - An open-source toolkit for large-scale genomic analysis. Apache-2 - DLTK (πŸ₯‰20 Β· ⭐ 1.4K Β· πŸ’€) - Deep Learning Toolkit for Medical Image Analysis. Apache-2 -- MedicalTorch (πŸ₯‰15 Β· ⭐ 860 Β· πŸ’€) - A medical imaging framework for Pytorch. Apache-2 +- MedicalTorch (πŸ₯‰16 Β· ⭐ 860 Β· πŸ’€) - A medical imaging framework for Pytorch. Apache-2 +- DeepNeuro (πŸ₯‰15 Β· ⭐ 120 Β· πŸ’€) - A deep learning python package for neuroimaging data. Made by:. MIT - Medical Detection Toolkit (πŸ₯‰14 Β· ⭐ 1.3K Β· πŸ’€) - The Medical Detection Toolkit contains 2D + 3D.. Apache-2 -- DeepNeuro (πŸ₯‰14 Β· ⭐ 120 Β· πŸ’€) - A deep learning python package for neuroimaging data. Made by:. MIT - MedicalNet (πŸ₯‰12 Β· ⭐ 2K Β· πŸ’€) - Many studies have shown that the performance on deep learning is.. MIT

@@ -4017,19 +4028,19 @@ _Libraries for processing tabular and structured data._
pytorch_tabular (πŸ₯‡25 Β· ⭐ 1.4K) - A standard framework for modelling Deep Learning Models.. MIT -- [GitHub](https://github.com/manujosephv/pytorch_tabular) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 140 Β· πŸ“₯ 52 Β· πŸ“‹ 160 - 6% open Β· ⏱️ 18.12.2024): +- [GitHub](https://github.com/manujosephv/pytorch_tabular) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 140 Β· πŸ“₯ 53 Β· πŸ“‹ 160 - 6% open Β· ⏱️ 18.12.2024): ``` git clone https://github.com/manujosephv/pytorch_tabular ``` -- [PyPi](https://pypi.org/project/pytorch_tabular) (πŸ“₯ 4K / month Β· πŸ“¦ 9 Β· ⏱️ 28.11.2024): +- [PyPi](https://pypi.org/project/pytorch_tabular) (πŸ“₯ 3.9K / month Β· πŸ“¦ 9 Β· ⏱️ 28.11.2024): ``` pip install pytorch_tabular ```
miceforest (πŸ₯ˆ24 Β· ⭐ 370) - Multiple Imputation with LightGBM in Python. MIT -- [GitHub](https://github.com/AnotherSamWilson/miceforest) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 30 Β· πŸ“¦ 180 Β· πŸ“‹ 86 - 9% open Β· ⏱️ 02.08.2024): +- [GitHub](https://github.com/AnotherSamWilson/miceforest) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 30 Β· πŸ“¦ 190 Β· πŸ“‹ 86 - 9% open Β· ⏱️ 02.08.2024): ``` git clone https://github.com/AnotherSamWilson/miceforest @@ -4045,12 +4056,12 @@ _Libraries for processing tabular and structured data._
upgini (πŸ₯‰21 Β· ⭐ 320) - Data search & enrichment library for Machine Learning Easily find and add.. BSD-3 -- [GitHub](https://github.com/upgini/upgini) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 25 Β· πŸ“¦ 9 Β· ⏱️ 18.12.2024): +- [GitHub](https://github.com/upgini/upgini) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 25 Β· πŸ“¦ 9 Β· ⏱️ 09.01.2025): ``` git clone https://github.com/upgini/upgini ``` -- [PyPi](https://pypi.org/project/upgini) (πŸ“₯ 14K / month Β· ⏱️ 30.12.2024): +- [PyPi](https://pypi.org/project/upgini) (πŸ“₯ 14K / month Β· ⏱️ 08.01.2025): ``` pip install upgini ``` @@ -4062,7 +4073,7 @@ _Libraries for processing tabular and structured data._ ``` git clone https://github.com/carefree0910/carefree-learn ``` -- [PyPi](https://pypi.org/project/carefree-learn) (πŸ“₯ 2.1K / month Β· ⏱️ 09.01.2024): +- [PyPi](https://pypi.org/project/carefree-learn) (πŸ“₯ 1.7K / month Β· ⏱️ 09.01.2024): ``` pip install carefree-learn ``` @@ -4079,49 +4090,49 @@ _Libraries for processing tabular and structured data._ _Libraries for optical character recognition (OCR) and text extraction from images or videos._ -
PaddleOCR (πŸ₯‡41 Β· ⭐ 45K) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2 +
PaddleOCR (πŸ₯‡41 Β· ⭐ 46K) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 7.8K Β· πŸ“₯ 980K Β· πŸ“¦ 4K Β· πŸ“‹ 9.5K - 1% open Β· ⏱️ 30.12.2024): +- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 7.8K Β· πŸ“₯ 1M Β· πŸ“¦ 4.1K Β· πŸ“‹ 9.5K - 1% open Β· ⏱️ 09.01.2025): ``` git clone https://github.com/PaddlePaddle/PaddleOCR ``` -- [PyPi](https://pypi.org/project/paddleocr) (πŸ“₯ 330K / month Β· πŸ“¦ 110 Β· ⏱️ 22.10.2024): +- [PyPi](https://pypi.org/project/paddleocr) (πŸ“₯ 310K / month Β· πŸ“¦ 110 Β· ⏱️ 22.10.2024): ``` pip install paddleocr ```
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EasyOCR (πŸ₯‡35 Β· ⭐ 25K) - Ready-to-use OCR with 80+ supported languages and all popular writing.. Apache-2 +
OCRmyPDF (πŸ₯‡36 Β· ⭐ 15K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0 -- [GitHub](https://github.com/JaidedAI/EasyOCR) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 3.2K Β· πŸ“₯ 17M Β· πŸ“¦ 10K Β· πŸ“‹ 1K - 42% open Β· ⏱️ 24.09.2024): +- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 1K Β· πŸ“₯ 6.1K Β· πŸ“¦ 1.1K Β· πŸ“‹ 1.2K - 9% open Β· ⏱️ 09.01.2025): ``` - git clone https://github.com/JaidedAI/EasyOCR + git clone https://github.com/ocrmypdf/OCRmyPDF ``` -- [PyPi](https://pypi.org/project/easyocr) (πŸ“₯ 660K / month Β· πŸ“¦ 210 Β· ⏱️ 24.09.2024): +- [PyPi](https://pypi.org/project/ocrmypdf) (πŸ“₯ 140K / month Β· πŸ“¦ 41 Β· ⏱️ 05.01.2025): ``` - pip install easyocr + pip install ocrmypdf + ``` +- [Conda](https://anaconda.org/conda-forge/ocrmypdf) (πŸ“₯ 87K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge ocrmypdf ```
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OCRmyPDF (πŸ₯‡35 Β· ⭐ 15K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0 +
EasyOCR (πŸ₯ˆ35 Β· ⭐ 25K) - Ready-to-use OCR with 80+ supported languages and all popular writing.. Apache-2 -- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 1K Β· πŸ“₯ 6.1K Β· πŸ“¦ 1.1K Β· πŸ“‹ 1.2K - 9% open Β· ⏱️ 02.01.2025): +- [GitHub](https://github.com/JaidedAI/EasyOCR) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 3.2K Β· πŸ“₯ 17M Β· πŸ“¦ 10K Β· πŸ“‹ 1.1K - 43% open Β· ⏱️ 24.09.2024): ``` - git clone https://github.com/ocrmypdf/OCRmyPDF - ``` -- [PyPi](https://pypi.org/project/ocrmypdf) (πŸ“₯ 160K / month Β· πŸ“¦ 37 Β· ⏱️ 09.12.2024): - ``` - pip install ocrmypdf + git clone https://github.com/JaidedAI/EasyOCR ``` -- [Conda](https://anaconda.org/conda-forge/ocrmypdf) (πŸ“₯ 87K Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/easyocr) (πŸ“₯ 640K / month Β· πŸ“¦ 250 Β· ⏱️ 24.09.2024): ``` - conda install -c conda-forge ocrmypdf + pip install easyocr ```
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Tesseract (πŸ₯ˆ33 Β· ⭐ 5.9K Β· πŸ“ˆ) - Python-tesseract is an optical character recognition (OCR).. Apache-2 +
Tesseract (πŸ₯ˆ32 Β· ⭐ 6K) - Python-tesseract is an optical character recognition (OCR) tool for.. Apache-2 -- [GitHub](https://github.com/madmaze/pytesseract) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 720 Β· πŸ“‹ 360 - 2% open Β· ⏱️ 29.12.2024): +- [GitHub](https://github.com/madmaze/pytesseract) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 720 Β· πŸ“‹ 370 - 2% open Β· ⏱️ 29.12.2024): ``` git clone https://github.com/madmaze/pytesseract @@ -4130,19 +4141,19 @@ _Libraries for optical character recognition (OCR) and text extraction from imag ``` pip install pytesseract ``` -- [Conda](https://anaconda.org/conda-forge/pytesseract) (πŸ“₯ 640K Β· ⏱️ 15.10.2023): +- [Conda](https://anaconda.org/conda-forge/pytesseract) (πŸ“₯ 640K Β· ⏱️ 07.01.2025): ``` conda install -c conda-forge pytesseract ```
tesserocr (πŸ₯ˆ30 Β· ⭐ 2K) - A Python wrapper for the tesseract-ocr API. MIT -- [GitHub](https://github.com/sirfz/tesserocr) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 250 Β· πŸ“₯ 720 Β· πŸ“¦ 1.2K Β· πŸ“‹ 280 - 18% open Β· ⏱️ 25.11.2024): +- [GitHub](https://github.com/sirfz/tesserocr) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 260 Β· πŸ“₯ 740 Β· πŸ“¦ 1.2K Β· πŸ“‹ 280 - 18% open Β· ⏱️ 25.11.2024): ``` git clone https://github.com/sirfz/tesserocr ``` -- [PyPi](https://pypi.org/project/tesserocr) (πŸ“₯ 69K / month Β· πŸ“¦ 36 Β· ⏱️ 26.08.2024): +- [PyPi](https://pypi.org/project/tesserocr) (πŸ“₯ 66K / month Β· πŸ“¦ 36 Β· ⏱️ 26.08.2024): ``` pip install tesserocr ``` @@ -4158,7 +4169,7 @@ _Libraries for optical character recognition (OCR) and text extraction from imag ``` git clone https://github.com/open-mmlab/mmocr ``` -- [PyPi](https://pypi.org/project/mmocr) (πŸ“₯ 3.7K / month Β· πŸ“¦ 4 Β· ⏱️ 05.05.2022): +- [PyPi](https://pypi.org/project/mmocr) (πŸ“₯ 3.6K / month Β· πŸ“¦ 4 Β· ⏱️ 05.05.2022): ``` pip install mmocr ``` @@ -4222,28 +4233,28 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
Ray (πŸ₯‡46 Β· ⭐ 35K) - Ray is an AI compute engine. Ray consists of a core distributed runtime.. Apache-2 -- [GitHub](https://github.com/ray-project/ray) (πŸ‘¨β€πŸ’» 1.1K Β· πŸ”€ 5.9K Β· πŸ“₯ 250 Β· πŸ“¦ 20K Β· πŸ“‹ 20K - 21% open Β· ⏱️ 02.01.2025): +- [GitHub](https://github.com/ray-project/ray) (πŸ‘¨β€πŸ’» 1.1K Β· πŸ”€ 5.9K Β· πŸ“₯ 250 Β· πŸ“¦ 20K Β· πŸ“‹ 20K - 21% open Β· ⏱️ 09.01.2025): ``` git clone https://github.com/ray-project/ray ``` -- [PyPi](https://pypi.org/project/ray) (πŸ“₯ 5.4M / month Β· πŸ“¦ 820 Β· ⏱️ 03.12.2024): +- [PyPi](https://pypi.org/project/ray) (πŸ“₯ 5.2M / month Β· πŸ“¦ 820 Β· ⏱️ 03.12.2024): ``` pip install ray ``` -- [Conda](https://anaconda.org/conda-forge/ray-tune) (πŸ“₯ 510K Β· ⏱️ 20.12.2024): +- [Conda](https://anaconda.org/conda-forge/ray-tune) (πŸ“₯ 520K Β· ⏱️ 20.12.2024): ``` conda install -c conda-forge ray-tune ```
dask (πŸ₯‡44 Β· ⭐ 13K) - Parallel computing with task scheduling. BSD-3 -- [GitHub](https://github.com/dask/dask) (πŸ‘¨β€πŸ’» 610 Β· πŸ”€ 1.7K Β· πŸ“¦ 68K Β· πŸ“‹ 5.4K - 20% open Β· ⏱️ 23.12.2024): +- [GitHub](https://github.com/dask/dask) (πŸ‘¨β€πŸ’» 620 Β· πŸ”€ 1.7K Β· πŸ“¦ 69K Β· πŸ“‹ 5.4K - 20% open Β· ⏱️ 09.01.2025): ``` git clone https://github.com/dask/dask ``` -- [PyPi](https://pypi.org/project/dask) (πŸ“₯ 11M / month Β· πŸ“¦ 2.6K Β· ⏱️ 17.12.2024): +- [PyPi](https://pypi.org/project/dask) (πŸ“₯ 10M / month Β· πŸ“¦ 2.6K Β· ⏱️ 17.12.2024): ``` pip install dask ``` @@ -4254,12 +4265,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
DeepSpeed (πŸ₯‡41 Β· ⭐ 36K) - DeepSpeed is a deep learning optimization library that makes.. Apache-2 -- [GitHub](https://github.com/microsoft/DeepSpeed) (πŸ‘¨β€πŸ’» 360 Β· πŸ”€ 4.2K Β· πŸ“¦ 10K Β· πŸ“‹ 3K - 36% open Β· ⏱️ 30.12.2024): +- [GitHub](https://github.com/microsoft/DeepSpeed) (πŸ‘¨β€πŸ’» 370 Β· πŸ”€ 4.2K Β· πŸ“¦ 10K Β· πŸ“‹ 3K - 36% open Β· ⏱️ 08.01.2025): ``` git clone https://github.com/microsoft/DeepSpeed ``` -- [PyPi](https://pypi.org/project/deepspeed) (πŸ“₯ 610K / month Β· πŸ“¦ 240 Β· ⏱️ 18.12.2024): +- [PyPi](https://pypi.org/project/deepspeed) (πŸ“₯ 650K / month Β· πŸ“¦ 240 Β· ⏱️ 18.12.2024): ``` pip install deepspeed ``` @@ -4270,12 +4281,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
dask.distributed (πŸ₯‡40 Β· ⭐ 1.6K) - A distributed task scheduler for Dask. BSD-3 -- [GitHub](https://github.com/dask/distributed) (πŸ‘¨β€πŸ’» 330 Β· πŸ”€ 720 Β· πŸ“¦ 38K Β· πŸ“‹ 4K - 39% open Β· ⏱️ 20.12.2024): +- [GitHub](https://github.com/dask/distributed) (πŸ‘¨β€πŸ’» 330 Β· πŸ”€ 720 Β· πŸ“¦ 38K Β· πŸ“‹ 4K - 39% open Β· ⏱️ 09.01.2025): ``` git clone https://github.com/dask/distributed ``` -- [PyPi](https://pypi.org/project/distributed) (πŸ“₯ 4.3M / month Β· πŸ“¦ 890 Β· ⏱️ 17.12.2024): +- [PyPi](https://pypi.org/project/distributed) (πŸ“₯ 3.9M / month Β· πŸ“¦ 890 Β· ⏱️ 17.12.2024): ``` pip install distributed ``` @@ -4291,19 +4302,19 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/horovod/horovod ``` -- [PyPi](https://pypi.org/project/horovod) (πŸ“₯ 84K / month Β· πŸ“¦ 33 Β· ⏱️ 12.06.2023): +- [PyPi](https://pypi.org/project/horovod) (πŸ“₯ 86K / month Β· πŸ“¦ 33 Β· ⏱️ 12.06.2023): ``` pip install horovod ```
metrics (πŸ₯ˆ36 Β· ⭐ 2.2K) - Machine learning metrics for distributed, scalable PyTorch.. Apache-2 -- [GitHub](https://github.com/Lightning-AI/torchmetrics) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 410 Β· πŸ“₯ 6K Β· πŸ“¦ 35K Β· πŸ“‹ 900 - 8% open Β· ⏱️ 02.01.2025): +- [GitHub](https://github.com/Lightning-AI/torchmetrics) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 400 Β· πŸ“₯ 6.1K Β· πŸ“¦ 35K Β· πŸ“‹ 900 - 9% open Β· ⏱️ 07.01.2025): ``` git clone https://github.com/Lightning-AI/metrics ``` -- [PyPi](https://pypi.org/project/metrics) (πŸ“₯ 3.7K / month Β· πŸ“¦ 2 Β· ⏱️ 28.04.2018): +- [PyPi](https://pypi.org/project/metrics) (πŸ“₯ 3.1K / month Β· πŸ“¦ 2 Β· ⏱️ 28.04.2018): ``` pip install metrics ``` @@ -4326,7 +4337,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
ColossalAI (πŸ₯ˆ33 Β· ⭐ 39K) - Making large AI models cheaper, faster and more accessible. Apache-2 -- [GitHub](https://github.com/hpcaitech/ColossalAI) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 4.3K Β· πŸ“¦ 450 Β· πŸ“‹ 1.7K - 26% open Β· ⏱️ 02.01.2025): +- [GitHub](https://github.com/hpcaitech/ColossalAI) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 4.3K Β· πŸ“¦ 460 Β· πŸ“‹ 1.7K - 26% open Β· ⏱️ 08.01.2025): ``` git clone https://github.com/hpcaitech/colossalai @@ -4334,12 +4345,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
BigDL (πŸ₯ˆ33 Β· ⭐ 6.9K) - Accelerate local LLM inference and finetuning (LLaMA, Mistral,.. Apache-2 -- [GitHub](https://github.com/intel-analytics/ipex-llm) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 1.3K Β· πŸ“₯ 640 Β· πŸ“‹ 2.7K - 38% open Β· ⏱️ 02.01.2025): +- [GitHub](https://github.com/intel-analytics/ipex-llm) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 1.3K Β· πŸ“₯ 640 Β· πŸ“‹ 2.7K - 38% open Β· ⏱️ 09.01.2025): ``` git clone https://github.com/intel-analytics/BigDL ``` -- [PyPi](https://pypi.org/project/bigdl) (πŸ“₯ 30K / month Β· πŸ“¦ 2 Β· ⏱️ 24.03.2024): +- [PyPi](https://pypi.org/project/bigdl) (πŸ“₯ 28K / month Β· πŸ“¦ 2 Β· ⏱️ 24.03.2024): ``` pip install bigdl ``` @@ -4354,23 +4365,23 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
FairScale (πŸ₯ˆ31 Β· ⭐ 3.2K Β· πŸ’€) - PyTorch extensions for high performance and large scale.. BSD-3 -- [GitHub](https://github.com/facebookresearch/fairscale) (πŸ‘¨β€πŸ’» 75 Β· πŸ”€ 280 Β· πŸ“¦ 7.1K Β· πŸ“‹ 390 - 26% open Β· ⏱️ 03.05.2024): +- [GitHub](https://github.com/facebookresearch/fairscale) (πŸ‘¨β€πŸ’» 75 Β· πŸ”€ 280 Β· πŸ“¦ 7.2K Β· πŸ“‹ 390 - 26% open Β· ⏱️ 03.05.2024): ``` git clone https://github.com/facebookresearch/fairscale ``` -- [PyPi](https://pypi.org/project/fairscale) (πŸ“₯ 370K / month Β· πŸ“¦ 150 Β· ⏱️ 11.12.2022): +- [PyPi](https://pypi.org/project/fairscale) (πŸ“₯ 360K / month Β· πŸ“¦ 150 Β· ⏱️ 11.12.2022): ``` pip install fairscale ``` -- [Conda](https://anaconda.org/conda-forge/fairscale) (πŸ“₯ 360K Β· ⏱️ 28.11.2023): +- [Conda](https://anaconda.org/conda-forge/fairscale) (πŸ“₯ 370K Β· ⏱️ 28.11.2023): ``` conda install -c conda-forge fairscale ```
SynapseML (πŸ₯ˆ29 Β· ⭐ 5.1K) - Simple and Distributed Machine Learning. MIT -- [GitHub](https://github.com/microsoft/SynapseML) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 830 Β· πŸ“‹ 790 - 48% open Β· ⏱️ 30.12.2024): +- [GitHub](https://github.com/microsoft/SynapseML) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 830 Β· πŸ“‹ 790 - 48% open Β· ⏱️ 07.01.2025): ``` git clone https://github.com/microsoft/SynapseML @@ -4380,34 +4391,34 @@ _Libraries that provide capabilities to distribute and parallelize machine learn pip install synapseml ```
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mpi4py (πŸ₯ˆ29 Β· ⭐ 820) - Python bindings for MPI. BSD-3 +
mpi4py (πŸ₯ˆ29 Β· ⭐ 830) - Python bindings for MPI. BSD-3 - [GitHub](https://github.com/mpi4py/mpi4py) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 120 Β· πŸ“₯ 29K Β· πŸ“‹ 190 - 4% open Β· ⏱️ 21.12.2024): ``` git clone https://github.com/mpi4py/mpi4py ``` -- [PyPi](https://pypi.org/project/mpi4py) (πŸ“₯ 300K / month Β· πŸ“¦ 750 Β· ⏱️ 11.10.2024): +- [PyPi](https://pypi.org/project/mpi4py) (πŸ“₯ 270K / month Β· πŸ“¦ 750 Β· ⏱️ 11.10.2024): ``` pip install mpi4py ``` -- [Conda](https://anaconda.org/conda-forge/mpi4py) (πŸ“₯ 3.2M Β· ⏱️ 12.10.2024): +- [Conda](https://anaconda.org/conda-forge/mpi4py) (πŸ“₯ 3.3M Β· ⏱️ 08.01.2025): ``` conda install -c conda-forge mpi4py ```
Submit it (πŸ₯ˆ28 Β· ⭐ 1.4K) - Python 3.8+ toolbox for submitting jobs to Slurm. MIT -- [GitHub](https://github.com/facebookincubator/submitit) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 130 Β· πŸ“¦ 3.7K Β· πŸ“‹ 130 - 39% open Β· ⏱️ 18.09.2024): +- [GitHub](https://github.com/facebookincubator/submitit) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 130 Β· πŸ“¦ 3.8K Β· πŸ“‹ 130 - 39% open Β· ⏱️ 18.09.2024): ``` git clone https://github.com/facebookincubator/submitit ``` -- [PyPi](https://pypi.org/project/submitit) (πŸ“₯ 370K / month Β· πŸ“¦ 49 Β· ⏱️ 18.09.2024): +- [PyPi](https://pypi.org/project/submitit) (πŸ“₯ 340K / month Β· πŸ“¦ 49 Β· ⏱️ 18.09.2024): ``` pip install submitit ``` -- [Conda](https://anaconda.org/conda-forge/submitit) (πŸ“₯ 45K Β· ⏱️ 19.11.2024): +- [Conda](https://anaconda.org/conda-forge/submitit) (πŸ“₯ 46K Β· ⏱️ 19.11.2024): ``` conda install -c conda-forge submitit ``` @@ -4419,7 +4430,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/dask/dask-ml ``` -- [PyPi](https://pypi.org/project/dask-ml) (πŸ“₯ 120K / month Β· πŸ“¦ 93 Β· ⏱️ 02.04.2024): +- [PyPi](https://pypi.org/project/dask-ml) (πŸ“₯ 110K / month Β· πŸ“¦ 93 Β· ⏱️ 02.04.2024): ``` pip install dask-ml ``` @@ -4451,14 +4462,14 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/learning-at-home/hivemind ``` -- [PyPi](https://pypi.org/project/hivemind) (πŸ“₯ 1.2K / month Β· πŸ“¦ 10 Β· ⏱️ 31.08.2023): +- [PyPi](https://pypi.org/project/hivemind) (πŸ“₯ 1.3K / month Β· πŸ“¦ 10 Β· ⏱️ 31.08.2023): ``` pip install hivemind ```
MMLSpark (πŸ₯‰23 Β· ⭐ 5.1K) - Simple and Distributed Machine Learning. MIT -- [GitHub](https://github.com/microsoft/SynapseML) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 830 Β· πŸ“‹ 790 - 48% open Β· ⏱️ 30.12.2024): +- [GitHub](https://github.com/microsoft/SynapseML) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 830 Β· πŸ“‹ 790 - 48% open Β· ⏱️ 07.01.2025): ``` git clone https://github.com/microsoft/SynapseML @@ -4468,21 +4479,21 @@ _Libraries that provide capabilities to distribute and parallelize machine learn pip install mmlspark ```
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analytics-zoo (πŸ₯‰22 Β· ⭐ 2.6K) - Distributed Tensorflow, Keras and PyTorch on Apache.. Apache-2 +
analytics-zoo (πŸ₯‰23 Β· ⭐ 2.6K) - Distributed Tensorflow, Keras and PyTorch on Apache.. Apache-2 -- [GitHub](https://github.com/intel-analytics/analytics-zoo) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 730 Β· πŸ“‹ 1.3K - 32% open Β· ⏱️ 20.11.2024): +- [GitHub](https://github.com/intel-analytics/analytics-zoo) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 730 Β· πŸ“‹ 1.3K - 32% open Β· ⏱️ 09.01.2025): ``` git clone https://github.com/intel-analytics/analytics-zoo ``` -- [PyPi](https://pypi.org/project/analytics-zoo) (πŸ“₯ 3K / month Β· πŸ“¦ 1 Β· ⏱️ 22.08.2022): +- [PyPi](https://pypi.org/project/analytics-zoo) (πŸ“₯ 2.2K / month Β· πŸ“¦ 1 Β· ⏱️ 22.08.2022): ``` pip install analytics-zoo ```
Show 18 hidden projects... -- DEAP (πŸ₯ˆ33 Β· ⭐ 5.9K) - Distributed Evolutionary Algorithms in Python. ❗️LGPL-3.0 +- DEAP (πŸ₯ˆ34 Β· ⭐ 5.9K) - Distributed Evolutionary Algorithms in Python. ❗️LGPL-3.0 - ipyparallel (πŸ₯ˆ31 Β· ⭐ 2.6K) - IPython Parallel: Interactive Parallel Computing in.. ❗Unlicensed - petastorm (πŸ₯ˆ28 Β· ⭐ 1.8K Β· πŸ’€) - Petastorm library enables single machine or distributed.. Apache-2 - TensorFlowOnSpark (πŸ₯‰26 Β· ⭐ 3.9K Β· πŸ’€) - TensorFlowOnSpark brings TensorFlow programs to.. Apache-2 @@ -4511,12 +4522,12 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Optuna (πŸ₯‡43 Β· ⭐ 11K) - A hyperparameter optimization framework. MIT -- [GitHub](https://github.com/optuna/optuna) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 1K Β· πŸ“¦ 21K Β· πŸ“‹ 1.7K - 3% open Β· ⏱️ 30.12.2024): +- [GitHub](https://github.com/optuna/optuna) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 1K Β· πŸ“¦ 21K Β· πŸ“‹ 1.7K - 3% open Β· ⏱️ 09.01.2025): ``` git clone https://github.com/optuna/optuna ``` -- [PyPi](https://pypi.org/project/optuna) (πŸ“₯ 3.2M / month Β· πŸ“¦ 1K Β· ⏱️ 12.11.2024): +- [PyPi](https://pypi.org/project/optuna) (πŸ“₯ 3.3M / month Β· πŸ“¦ 1K Β· ⏱️ 12.11.2024): ``` pip install optuna ``` @@ -4527,12 +4538,12 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
AutoGluon (πŸ₯‡36 Β· ⭐ 8.2K) - Fast and Accurate ML in 3 Lines of Code. Apache-2 -- [GitHub](https://github.com/autogluon/autogluon) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 940 Β· πŸ“¦ 920 Β· πŸ“‹ 1.5K - 24% open Β· ⏱️ 19.12.2024): +- [GitHub](https://github.com/autogluon/autogluon) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 940 Β· πŸ“¦ 930 Β· πŸ“‹ 1.5K - 24% open Β· ⏱️ 09.01.2025): ``` git clone https://github.com/autogluon/autogluon ``` -- [PyPi](https://pypi.org/project/autogluon) (πŸ“₯ 170K / month Β· πŸ“¦ 30 Β· ⏱️ 02.01.2025): +- [PyPi](https://pypi.org/project/autogluon) (πŸ“₯ 240K / month Β· πŸ“¦ 30 Β· ⏱️ 09.01.2025): ``` pip install autogluon ``` @@ -4547,7 +4558,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Ax (πŸ₯‡36 Β· ⭐ 2.4K) - Adaptive Experimentation Platform. MIT -- [GitHub](https://github.com/facebook/Ax) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 310 Β· πŸ“¦ 860 Β· πŸ“‹ 800 - 9% open Β· ⏱️ 31.12.2024): +- [GitHub](https://github.com/facebook/Ax) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 310 Β· πŸ“¦ 870 Β· πŸ“‹ 800 - 9% open Β· ⏱️ 08.01.2025): ``` git clone https://github.com/facebook/Ax @@ -4556,19 +4567,19 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` pip install ax-platform ``` -- [Conda](https://anaconda.org/conda-forge/ax-platform) (πŸ“₯ 31K Β· ⏱️ 23.12.2024): +- [Conda](https://anaconda.org/conda-forge/ax-platform) (πŸ“₯ 32K Β· ⏱️ 23.12.2024): ``` conda install -c conda-forge ax-platform ```
BoTorch (πŸ₯‡34 Β· ⭐ 3.1K) - Bayesian optimization in PyTorch. MIT -- [GitHub](https://github.com/pytorch/botorch) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 400 Β· πŸ“¦ 1.3K Β· πŸ“‹ 560 - 13% open Β· ⏱️ 24.12.2024): +- [GitHub](https://github.com/pytorch/botorch) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 400 Β· πŸ“¦ 1.3K Β· πŸ“‹ 570 - 13% open Β· ⏱️ 07.01.2025): ``` git clone https://github.com/pytorch/botorch ``` -- [PyPi](https://pypi.org/project/botorch) (πŸ“₯ 180K / month Β· πŸ“¦ 84 Β· ⏱️ 17.09.2024): +- [PyPi](https://pypi.org/project/botorch) (πŸ“₯ 190K / month Β· πŸ“¦ 84 Β· ⏱️ 17.09.2024): ``` pip install botorch ``` @@ -4584,7 +4595,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/hyperopt/hyperopt ``` -- [PyPi](https://pypi.org/project/hyperopt) (πŸ“₯ 2M / month Β· πŸ“¦ 450 Β· ⏱️ 17.11.2021): +- [PyPi](https://pypi.org/project/hyperopt) (πŸ“₯ 1.9M / month Β· πŸ“¦ 450 Β· ⏱️ 17.11.2021): ``` pip install hyperopt ``` @@ -4595,12 +4606,12 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
nevergrad (πŸ₯‡33 Β· ⭐ 4K) - A Python toolbox for performing gradient-free optimization. MIT -- [GitHub](https://github.com/facebookresearch/nevergrad) (πŸ‘¨β€πŸ’» 57 Β· πŸ”€ 360 Β· πŸ“¦ 800 Β· πŸ“‹ 310 - 39% open Β· ⏱️ 05.12.2024): +- [GitHub](https://github.com/facebookresearch/nevergrad) (πŸ‘¨β€πŸ’» 57 Β· πŸ”€ 360 Β· πŸ“¦ 810 Β· πŸ“‹ 310 - 39% open Β· ⏱️ 05.12.2024): ``` git clone https://github.com/facebookresearch/nevergrad ``` -- [PyPi](https://pypi.org/project/nevergrad) (πŸ“₯ 120K / month Β· πŸ“¦ 62 Β· ⏱️ 01.12.2024): +- [PyPi](https://pypi.org/project/nevergrad) (πŸ“₯ 110K / month Β· πŸ“¦ 62 Β· ⏱️ 01.12.2024): ``` pip install nevergrad ``` @@ -4611,12 +4622,12 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
AutoKeras (πŸ₯ˆ32 Β· ⭐ 9.2K) - AutoML library for deep learning. Apache-2 -- [GitHub](https://github.com/keras-team/autokeras) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.4K Β· πŸ“₯ 19K Β· πŸ“¦ 780 Β· πŸ“‹ 900 - 16% open Β· ⏱️ 16.12.2024): +- [GitHub](https://github.com/keras-team/autokeras) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.4K Β· πŸ“₯ 19K Β· πŸ“¦ 790 Β· πŸ“‹ 900 - 16% open Β· ⏱️ 16.12.2024): ``` git clone https://github.com/keras-team/autokeras ``` -- [PyPi](https://pypi.org/project/autokeras) (πŸ“₯ 22K / month Β· πŸ“¦ 13 Β· ⏱️ 20.03.2024): +- [PyPi](https://pypi.org/project/autokeras) (πŸ“₯ 18K / month Β· πŸ“¦ 13 Β· ⏱️ 20.03.2024): ``` pip install autokeras ``` @@ -4628,55 +4639,55 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/fmfn/BayesianOptimization ``` -- [PyPi](https://pypi.org/project/bayesian-optimization) (πŸ“₯ 380K / month Β· πŸ“¦ 150 Β· ⏱️ 27.12.2024): +- [PyPi](https://pypi.org/project/bayesian-optimization) (πŸ“₯ 360K / month Β· πŸ“¦ 150 Β· ⏱️ 27.12.2024): ``` pip install bayesian-optimization ```
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featuretools (πŸ₯ˆ31 Β· ⭐ 7.3K) - An open source python library for automated feature engineering. BSD-3 +
Keras Tuner (πŸ₯ˆ31 Β· ⭐ 2.9K Β· πŸ’€) - A Hyperparameter Tuning Library for Keras. Apache-2 -- [GitHub](https://github.com/alteryx/featuretools) (πŸ‘¨β€πŸ’» 74 Β· πŸ”€ 880 Β· πŸ“¦ 1.9K Β· πŸ“‹ 1K - 15% open Β· ⏱️ 13.11.2024): +- [GitHub](https://github.com/keras-team/keras-tuner) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 400 Β· πŸ“¦ 4.9K Β· πŸ“‹ 500 - 44% open Β· ⏱️ 24.06.2024): ``` - git clone https://github.com/alteryx/featuretools + git clone https://github.com/keras-team/keras-tuner ``` -- [PyPi](https://pypi.org/project/featuretools) (πŸ“₯ 57K / month Β· πŸ“¦ 74 Β· ⏱️ 14.05.2024): +- [PyPi](https://pypi.org/project/keras-tuner) (πŸ“₯ 280K / month Β· πŸ“¦ 120 Β· ⏱️ 04.03.2024): ``` - pip install featuretools + pip install keras-tuner ``` -- [Conda](https://anaconda.org/conda-forge/featuretools) (πŸ“₯ 220K Β· ⏱️ 15.05.2024): +- [Conda](https://anaconda.org/conda-forge/keras-tuner) (πŸ“₯ 46K Β· ⏱️ 25.12.2024): ``` - conda install -c conda-forge featuretools + conda install -c conda-forge keras-tuner ```
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Keras Tuner (πŸ₯ˆ31 Β· ⭐ 2.9K Β· πŸ’€) - A Hyperparameter Tuning Library for Keras. Apache-2 +
featuretools (πŸ₯ˆ30 Β· ⭐ 7.3K) - An open source python library for automated feature engineering. BSD-3 -- [GitHub](https://github.com/keras-team/keras-tuner) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 400 Β· πŸ“¦ 4.9K Β· πŸ“‹ 490 - 44% open Β· ⏱️ 24.06.2024): +- [GitHub](https://github.com/alteryx/featuretools) (πŸ‘¨β€πŸ’» 74 Β· πŸ”€ 880 Β· πŸ“¦ 1.9K Β· πŸ“‹ 1K - 15% open Β· ⏱️ 13.11.2024): ``` - git clone https://github.com/keras-team/keras-tuner + git clone https://github.com/alteryx/featuretools ``` -- [PyPi](https://pypi.org/project/keras-tuner) (πŸ“₯ 350K / month Β· πŸ“¦ 120 Β· ⏱️ 04.03.2024): +- [PyPi](https://pypi.org/project/featuretools) (πŸ“₯ 55K / month Β· πŸ“¦ 74 Β· ⏱️ 14.05.2024): ``` - pip install keras-tuner + pip install featuretools ``` -- [Conda](https://anaconda.org/conda-forge/keras-tuner) (πŸ“₯ 45K Β· ⏱️ 25.12.2024): +- [Conda](https://anaconda.org/conda-forge/featuretools) (πŸ“₯ 220K Β· ⏱️ 15.05.2024): ``` - conda install -c conda-forge keras-tuner + conda install -c conda-forge featuretools ```
lazypredict (πŸ₯ˆ30 Β· ⭐ 3K) - Lazy Predict help build a lot of basic models without much code.. MIT -- [GitHub](https://github.com/shankarpandala/lazypredict) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 350 Β· πŸ“¦ 1.2K Β· πŸ“‹ 140 - 70% open Β· ⏱️ 03.11.2024): +- [GitHub](https://github.com/shankarpandala/lazypredict) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 350 Β· πŸ“¦ 1.2K Β· πŸ“‹ 140 - 69% open Β· ⏱️ 03.11.2024): ``` git clone https://github.com/shankarpandala/lazypredict ``` -- [PyPi](https://pypi.org/project/lazypredict) (πŸ“₯ 16K / month Β· πŸ“¦ 6 Β· ⏱️ 02.11.2024): +- [PyPi](https://pypi.org/project/lazypredict) (πŸ“₯ 15K / month Β· πŸ“¦ 6 Β· ⏱️ 02.11.2024): ``` pip install lazypredict ``` -- [Conda](https://anaconda.org/conda-forge/lazypredict) (πŸ“₯ 3.9K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/lazypredict) (πŸ“₯ 4K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge lazypredict ``` @@ -4688,7 +4699,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/mljar/mljar-supervised ``` -- [PyPi](https://pypi.org/project/mljar-supervised) (πŸ“₯ 10K / month Β· πŸ“¦ 6 Β· ⏱️ 12.11.2024): +- [PyPi](https://pypi.org/project/mljar-supervised) (πŸ“₯ 9.7K / month Β· πŸ“¦ 6 Β· ⏱️ 12.11.2024): ``` pip install mljar-supervised ``` @@ -4697,74 +4708,74 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc conda install -c conda-forge mljar-supervised ```
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Talos (πŸ₯ˆ25 Β· ⭐ 1.6K Β· πŸ’€) - Hyperparameter Experiments with TensorFlow and Keras. MIT +
FEDOT (πŸ₯ˆ25 Β· ⭐ 650) - Automated modeling and machine learning framework FEDOT. BSD-3 -- [GitHub](https://github.com/autonomio/talos) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 270 Β· πŸ“¦ 200 Β· πŸ“‹ 400 - 2% open Β· ⏱️ 22.04.2024): +- [GitHub](https://github.com/aimclub/FEDOT) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 88 Β· πŸ“¦ 55 Β· πŸ“‹ 550 - 10% open Β· ⏱️ 08.01.2025): ``` - git clone https://github.com/autonomio/talos + git clone https://github.com/nccr-itmo/FEDOT ``` -- [PyPi](https://pypi.org/project/talos) (πŸ“₯ 1.1K / month Β· πŸ“¦ 8 Β· ⏱️ 21.04.2024): +- [PyPi](https://pypi.org/project/fedot) (πŸ“₯ 1.2K / month Β· πŸ“¦ 5 Β· ⏱️ 28.08.2024): ``` - pip install talos + pip install fedot ```
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FEDOT (πŸ₯ˆ24 Β· ⭐ 650) - Automated modeling and machine learning framework FEDOT. BSD-3 +
Talos (πŸ₯ˆ24 Β· ⭐ 1.6K Β· πŸ’€) - Hyperparameter Experiments with TensorFlow and Keras. MIT -- [GitHub](https://github.com/aimclub/FEDOT) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 88 Β· πŸ“¦ 55 Β· πŸ“‹ 550 - 10% open Β· ⏱️ 29.12.2024): +- [GitHub](https://github.com/autonomio/talos) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 270 Β· πŸ“¦ 200 Β· πŸ“‹ 400 - 2% open Β· ⏱️ 22.04.2024): ``` - git clone https://github.com/nccr-itmo/FEDOT + git clone https://github.com/autonomio/talos ``` -- [PyPi](https://pypi.org/project/fedot) (πŸ“₯ 1.5K / month Β· πŸ“¦ 5 Β· ⏱️ 28.08.2024): +- [PyPi](https://pypi.org/project/talos) (πŸ“₯ 1.1K / month Β· πŸ“¦ 8 Β· ⏱️ 21.04.2024): ``` - pip install fedot + pip install talos ```
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Hyperactive (πŸ₯‰23 Β· ⭐ 510) - An optimization and data collection toolbox for convenient and fast.. MIT +
Hyperactive (πŸ₯‰23 Β· ⭐ 520) - An optimization and data collection toolbox for convenient and fast.. MIT -- [GitHub](https://github.com/SimonBlanke/Hyperactive) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 42 Β· πŸ“₯ 300 Β· πŸ“¦ 36 Β· πŸ“‹ 77 - 18% open Β· ⏱️ 01.01.2025): +- [GitHub](https://github.com/SimonBlanke/Hyperactive) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 42 Β· πŸ“₯ 300 Β· πŸ“¦ 36 Β· πŸ“‹ 77 - 16% open Β· ⏱️ 01.01.2025): ``` git clone https://github.com/SimonBlanke/Hyperactive ``` -- [PyPi](https://pypi.org/project/hyperactive) (πŸ“₯ 2.7K / month Β· πŸ“¦ 13 Β· ⏱️ 15.08.2024): +- [PyPi](https://pypi.org/project/hyperactive) (πŸ“₯ 2K / month Β· πŸ“¦ 13 Β· ⏱️ 15.08.2024): ``` pip install hyperactive ```
featurewiz (πŸ₯‰21 Β· ⭐ 600 Β· πŸ’€) - Use advanced feature engineering strategies and select best.. Apache-2 -- [GitHub](https://github.com/AutoViML/featurewiz) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 90 Β· πŸ“¦ 79 Β· πŸ“‹ 100 - 9% open Β· ⏱️ 02.05.2024): +- [GitHub](https://github.com/AutoViML/featurewiz) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 90 Β· πŸ“¦ 80 Β· πŸ“‹ 100 - 9% open Β· ⏱️ 02.05.2024): ``` git clone https://github.com/AutoViML/featurewiz ``` -- [PyPi](https://pypi.org/project/featurewiz) (πŸ“₯ 38K / month Β· πŸ“¦ 2 Β· ⏱️ 10.02.2024): +- [PyPi](https://pypi.org/project/featurewiz) (πŸ“₯ 25K / month Β· πŸ“¦ 2 Β· ⏱️ 10.02.2024): ``` pip install featurewiz ```
AlphaPy (πŸ₯‰20 Β· ⭐ 1.2K) - Python AutoML for Trading Systems and Sports Betting. Apache-2 -- [GitHub](https://github.com/ScottfreeLLC/AlphaPy) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 200 Β· πŸ“¦ 6 Β· πŸ“‹ 42 - 30% open Β· ⏱️ 15.12.2024): +- [GitHub](https://github.com/ScottfreeLLC/AlphaPy) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 210 Β· πŸ“¦ 7 Β· πŸ“‹ 42 - 30% open Β· ⏱️ 15.12.2024): ``` git clone https://github.com/ScottfreeLLC/AlphaPy ``` -- [PyPi](https://pypi.org/project/alphapy) (πŸ“₯ 990 / month Β· ⏱️ 29.08.2020): +- [PyPi](https://pypi.org/project/alphapy) (πŸ“₯ 920 / month Β· ⏱️ 29.08.2020): ``` pip install alphapy ```
Auto ViML (πŸ₯‰20 Β· ⭐ 530 Β· πŸ’€) - Automatically Build Multiple ML Models with a Single Line of.. Apache-2 -- [GitHub](https://github.com/AutoViML/Auto_ViML) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 100 Β· πŸ“¦ 27 Β· πŸ“‹ 34 - 2% open Β· ⏱️ 11.05.2024): +- [GitHub](https://github.com/AutoViML/Auto_ViML) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 100 Β· πŸ“¦ 28 Β· πŸ“‹ 34 - 2% open Β· ⏱️ 11.05.2024): ``` git clone https://github.com/AutoViML/Auto_ViML ``` -- [PyPi](https://pypi.org/project/autoviml) (πŸ“₯ 7K / month Β· πŸ“¦ 3 Β· ⏱️ 11.05.2024): +- [PyPi](https://pypi.org/project/autoviml) (πŸ“₯ 6.1K / month Β· πŸ“¦ 3 Β· ⏱️ 11.05.2024): ``` pip install autoviml ``` @@ -4776,7 +4787,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/gugarosa/opytimizer ``` -- [PyPi](https://pypi.org/project/opytimizer) (πŸ“₯ 410 / month Β· ⏱️ 18.08.2024): +- [PyPi](https://pypi.org/project/opytimizer) (πŸ“₯ 500 / month Β· ⏱️ 18.08.2024): ``` pip install opytimizer ``` @@ -4788,31 +4799,31 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/cerlymarco/shap-hypetune ``` -- [PyPi](https://pypi.org/project/shap-hypetune) (πŸ“₯ 2.1K / month Β· πŸ“¦ 2 Β· ⏱️ 21.02.2024): +- [PyPi](https://pypi.org/project/shap-hypetune) (πŸ“₯ 1.8K / month Β· πŸ“¦ 2 Β· ⏱️ 21.02.2024): ``` pip install shap-hypetune ```
Show 32 hidden projects... -- scikit-optimize (πŸ₯ˆ32 Β· ⭐ 2.7K Β· πŸ’€) - Sequential model-based optimization with a.. BSD-3 +- TPOT (πŸ₯ˆ32 Β· ⭐ 9.8K Β· πŸ’€) - A Python Automated Machine Learning tool that optimizes.. ❗️LGPL-3.0 +- scikit-optimize (πŸ₯ˆ32 Β· ⭐ 2.8K Β· πŸ’€) - Sequential model-based optimization with a.. BSD-3 - NNI (πŸ₯ˆ31 Β· ⭐ 14K Β· πŸ’€) - An open source AutoML toolkit for automate machine learning lifecycle,.. MIT -- TPOT (πŸ₯ˆ31 Β· ⭐ 9.8K Β· πŸ’€) - A Python Automated Machine Learning tool that optimizes.. ❗️LGPL-3.0 - auto-sklearn (πŸ₯ˆ31 Β· ⭐ 7.7K Β· πŸ’€) - Automated Machine Learning with scikit-learn. BSD-3 - Hyperas (πŸ₯ˆ27 Β· ⭐ 2.2K Β· πŸ’€) - Keras + Hyperopt: A very simple wrapper for convenient.. MIT - SMAC3 (πŸ₯ˆ26 Β· ⭐ 1.1K) - SMAC3: A Versatile Bayesian Optimization Package for.. ❗️BSD-1-Clause - GPyOpt (πŸ₯ˆ25 Β· ⭐ 930 Β· πŸ’€) - Gaussian Process Optimization using GPy. BSD-3 - AdaNet (πŸ₯ˆ24 Β· ⭐ 3.5K Β· πŸ’€) - Fast and flexible AutoML with learning guarantees. Apache-2 - auto_ml (πŸ₯ˆ24 Β· ⭐ 1.6K Β· πŸ’€) - [UNMAINTAINED] Automated machine learning for analytics & production. MIT -- lightwood (πŸ₯ˆ24 Β· ⭐ 450) - Lightwood is Legos for Machine Learning. ❗️GPL-3.0 +- lightwood (πŸ₯ˆ24 Β· ⭐ 460) - Lightwood is Legos for Machine Learning. ❗️GPL-3.0 - HpBandSter (πŸ₯‰22 Β· ⭐ 610 Β· πŸ’€) - a distributed Hyperband implementation on Steroids. BSD-3 - Orion (πŸ₯‰22 Β· ⭐ 290 Β· πŸ’€) - Asynchronous Distributed Hyperparameter Optimization. BSD-3 - igel (πŸ₯‰21 Β· ⭐ 3.1K Β· πŸ’€) - a delightful machine learning tool that allows you to train, test, and.. MIT - MLBox (πŸ₯‰21 Β· ⭐ 1.5K Β· πŸ’€) - MLBox is a powerful Automated Machine Learning python library. ❗️BSD-1-Clause -- sklearn-deap (πŸ₯‰21 Β· ⭐ 770 Β· πŸ’€) - Use evolutionary algorithms instead of gridsearch in.. MIT - Test Tube (πŸ₯‰21 Β· ⭐ 740 Β· πŸ’€) - Python library to easily log experiments and parallelize.. MIT - Neuraxle (πŸ₯‰21 Β· ⭐ 610 Β· πŸ’€) - The worlds cleanest AutoML library - Do hyperparameter tuning.. Apache-2 -- optunity (πŸ₯‰21 Β· ⭐ 420 Β· πŸ’€) - optimization routines for hyperparameter tuning. BSD-3 +- sklearn-deap (πŸ₯‰20 Β· ⭐ 770 Β· πŸ’€) - Use evolutionary algorithms instead of gridsearch in.. MIT +- optunity (πŸ₯‰20 Β· ⭐ 420 Β· πŸ’€) - optimization routines for hyperparameter tuning. BSD-3 - Dragonfly (πŸ₯‰19 Β· ⭐ 870 Β· πŸ’€) - An open source python library for scalable Bayesian optimisation. MIT - Auto Tune Models (πŸ₯‰19 Β· ⭐ 530 Β· πŸ’€) - Auto Tune Models - A multi-tenant, multi-data system for.. MIT - Sherpa (πŸ₯‰19 Β· ⭐ 330 Β· πŸ’€) - Hyperparameter optimization that enables researchers to.. ❗️GPL-3.0 @@ -4838,12 +4849,12 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
FinRL (πŸ₯‡31 Β· ⭐ 10K) - FinRL: Financial Reinforcement Learning. MIT -- [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 2.4K Β· πŸ“¦ 58 Β· πŸ“‹ 730 - 33% open Β· ⏱️ 01.01.2025): +- [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 2.4K Β· πŸ“¦ 58 Β· πŸ“‹ 730 - 33% open Β· ⏱️ 09.01.2025): ``` git clone https://github.com/AI4Finance-Foundation/FinRL ``` -- [PyPi](https://pypi.org/project/finrl) (πŸ“₯ 1.5K / month Β· ⏱️ 08.01.2022): +- [PyPi](https://pypi.org/project/finrl) (πŸ“₯ 1.6K / month Β· ⏱️ 08.01.2022): ``` pip install finrl ``` @@ -4855,23 +4866,11 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/google/dopamine ``` -- [PyPi](https://pypi.org/project/dopamine-rl) (πŸ“₯ 21K / month Β· πŸ“¦ 10 Β· ⏱️ 31.10.2024): +- [PyPi](https://pypi.org/project/dopamine-rl) (πŸ“₯ 20K / month Β· πŸ“¦ 10 Β· ⏱️ 31.10.2024): ``` pip install dopamine-rl ```
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TF-Agents (πŸ₯ˆ28 Β· ⭐ 2.8K) - TF-Agents: A reliable, scalable and easy to use TensorFlow.. Apache-2 - -- [GitHub](https://github.com/tensorflow/agents) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 720 Β· πŸ“‹ 670 - 29% open Β· ⏱️ 12.12.2024): - - ``` - git clone https://github.com/tensorflow/agents - ``` -- [PyPi](https://pypi.org/project/tf-agents) (πŸ“₯ 31K / month Β· πŸ“¦ 14 Β· ⏱️ 14.12.2023): - ``` - pip install tf-agents - ``` -
ViZDoom (πŸ₯ˆ28 Β· ⭐ 1.8K) - Reinforcement Learning environments based on the 1993 game Doom. MIT - [GitHub](https://github.com/Farama-Foundation/ViZDoom) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 390 Β· πŸ“₯ 12K Β· πŸ“¦ 290 Β· πŸ“‹ 460 - 6% open Β· ⏱️ 08.09.2024): @@ -4879,35 +4878,47 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/mwydmuch/ViZDoom ``` -- [PyPi](https://pypi.org/project/vizdoom) (πŸ“₯ 4.8K / month Β· πŸ“¦ 15 Β· ⏱️ 20.08.2024): +- [PyPi](https://pypi.org/project/vizdoom) (πŸ“₯ 4.3K / month Β· πŸ“¦ 15 Β· ⏱️ 20.08.2024): ``` pip install vizdoom ```
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Acme (πŸ₯ˆ26 Β· ⭐ 3.6K) - A library of reinforcement learning components and agents. Apache-2 +
Acme (πŸ₯ˆ27 Β· ⭐ 3.6K) - A library of reinforcement learning components and agents. Apache-2 -- [GitHub](https://github.com/google-deepmind/acme) (πŸ‘¨β€πŸ’» 86 Β· πŸ”€ 430 Β· πŸ“¦ 220 Β· πŸ“‹ 270 - 23% open Β· ⏱️ 30.10.2024): +- [GitHub](https://github.com/google-deepmind/acme) (πŸ‘¨β€πŸ’» 86 Β· πŸ”€ 430 Β· πŸ“¦ 230 Β· πŸ“‹ 270 - 23% open Β· ⏱️ 30.10.2024): ``` git clone https://github.com/deepmind/acme ``` -- [PyPi](https://pypi.org/project/dm-acme) (πŸ“₯ 1.5K / month Β· πŸ“¦ 3 Β· ⏱️ 10.02.2022): +- [PyPi](https://pypi.org/project/dm-acme) (πŸ“₯ 1.2K / month Β· πŸ“¦ 3 Β· ⏱️ 10.02.2022): ``` pip install dm-acme ``` -- [Conda](https://anaconda.org/conda-forge/dm-acme) (πŸ“₯ 11K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/dm-acme) (πŸ“₯ 11K Β· ⏱️ 04.01.2025): ``` conda install -c conda-forge dm-acme ```
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TensorForce (πŸ₯ˆ26 Β· ⭐ 3.3K) - Tensorforce: a TensorFlow library for applied.. Apache-2 +
TF-Agents (πŸ₯ˆ27 Β· ⭐ 2.8K) - TF-Agents: A reliable, scalable and easy to use TensorFlow.. Apache-2 + +- [GitHub](https://github.com/tensorflow/agents) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 720 Β· πŸ“‹ 670 - 29% open Β· ⏱️ 12.12.2024): + + ``` + git clone https://github.com/tensorflow/agents + ``` +- [PyPi](https://pypi.org/project/tf-agents) (πŸ“₯ 30K / month Β· πŸ“¦ 14 Β· ⏱️ 14.12.2023): + ``` + pip install tf-agents + ``` +
+
TensorForce (πŸ₯‰26 Β· ⭐ 3.3K) - Tensorforce: a TensorFlow library for applied.. Apache-2 - [GitHub](https://github.com/tensorforce/tensorforce) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 530 Β· πŸ“¦ 460 Β· πŸ“‹ 680 - 6% open Β· ⏱️ 31.07.2024): ``` git clone https://github.com/tensorforce/tensorforce ``` -- [PyPi](https://pypi.org/project/tensorforce) (πŸ“₯ 800 / month Β· πŸ“¦ 4 Β· ⏱️ 30.08.2021): +- [PyPi](https://pypi.org/project/tensorforce) (πŸ“₯ 720 / month Β· πŸ“¦ 4 Β· ⏱️ 30.08.2021): ``` pip install tensorforce ``` @@ -4919,31 +4930,31 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/PaddlePaddle/PARL ``` -- [PyPi](https://pypi.org/project/parl) (πŸ“₯ 1.2K / month Β· πŸ“¦ 1 Β· ⏱️ 13.05.2022): +- [PyPi](https://pypi.org/project/parl) (πŸ“₯ 1.3K / month Β· πŸ“¦ 1 Β· ⏱️ 13.05.2022): ``` pip install parl ```
RLax (πŸ₯‰24 Β· ⭐ 1.3K Β· πŸ’€) - A library of reinforcement learning building blocks in JAX. Apache-2 -- [GitHub](https://github.com/google-deepmind/rlax) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 88 Β· πŸ“¦ 290 Β· πŸ“‹ 26 - 30% open Β· ⏱️ 24.05.2024): +- [GitHub](https://github.com/google-deepmind/rlax) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 89 Β· πŸ“¦ 290 Β· πŸ“‹ 26 - 30% open Β· ⏱️ 24.05.2024): ``` git clone https://github.com/deepmind/rlax ``` -- [PyPi](https://pypi.org/project/rlax) (πŸ“₯ 18K / month Β· πŸ“¦ 11 Β· ⏱️ 09.01.2023): +- [PyPi](https://pypi.org/project/rlax) (πŸ“₯ 19K / month Β· πŸ“¦ 11 Β· ⏱️ 09.01.2023): ``` pip install rlax ```
ReAgent (πŸ₯‰22 Β· ⭐ 3.6K) - A platform for Reasoning systems (Reinforcement Learning,.. BSD-3 -- [GitHub](https://github.com/facebookresearch/ReAgent) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 510 Β· πŸ“‹ 160 - 53% open Β· ⏱️ 26.11.2024): +- [GitHub](https://github.com/facebookresearch/ReAgent) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 510 Β· πŸ“‹ 160 - 53% open Β· ⏱️ 06.01.2025): ``` git clone https://github.com/facebookresearch/ReAgent ``` -- [PyPi](https://pypi.org/project/reagent) (πŸ“₯ 46 / month Β· ⏱️ 27.05.2020): +- [PyPi](https://pypi.org/project/reagent) (πŸ“₯ 50 / month Β· ⏱️ 27.05.2020): ``` pip install reagent ``` @@ -4955,7 +4966,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/pfnet/pfrl ``` -- [PyPi](https://pypi.org/project/pfrl) (πŸ“₯ 450 / month Β· πŸ“¦ 1 Β· ⏱️ 16.07.2023): +- [PyPi](https://pypi.org/project/pfrl) (πŸ“₯ 460 / month Β· πŸ“¦ 1 Β· ⏱️ 16.07.2023): ``` pip install pfrl ``` @@ -4976,8 +4987,8 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst - OpenAI Gym (πŸ₯‡39 Β· ⭐ 35K Β· πŸ’€) - A toolkit for developing and comparing reinforcement learning.. MIT - baselines (πŸ₯‡29 Β· ⭐ 16K Β· πŸ’€) - OpenAI Baselines: high-quality implementations of reinforcement.. MIT -- keras-rl (πŸ₯ˆ28 Β· ⭐ 5.5K Β· πŸ’€) - Deep Reinforcement Learning for Keras. MIT - TensorLayer (πŸ₯ˆ27 Β· ⭐ 7.3K Β· πŸ’€) - Deep Learning and Reinforcement Learning Library for.. Apache-2 +- keras-rl (πŸ₯ˆ27 Β· ⭐ 5.5K Β· πŸ’€) - Deep Reinforcement Learning for Keras. MIT - garage (πŸ₯‰25 Β· ⭐ 1.9K Β· πŸ’€) - A toolkit for reproducible reinforcement learning research. MIT - Stable Baselines (πŸ₯‰24 Β· ⭐ 4.2K Β· πŸ’€) - A fork of OpenAI Baselines, implementations of.. MIT - ChainerRL (πŸ₯‰24 Β· ⭐ 1.2K Β· πŸ’€) - ChainerRL is a deep reinforcement learning library built on top of.. MIT @@ -4997,24 +5008,24 @@ _Libraries for building and evaluating recommendation systems._
Recommenders (πŸ₯‡34 Β· ⭐ 20K) - Best Practices on Recommendation Systems. MIT -- [GitHub](https://github.com/recommenders-team/recommenders) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 3.1K Β· πŸ“₯ 650 Β· πŸ“¦ 140 Β· πŸ“‹ 880 - 18% open Β· ⏱️ 23.12.2024): +- [GitHub](https://github.com/recommenders-team/recommenders) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 3.1K Β· πŸ“₯ 660 Β· πŸ“¦ 140 Β· πŸ“‹ 880 - 18% open Β· ⏱️ 23.12.2024): ``` git clone https://github.com/microsoft/recommenders ``` -- [PyPi](https://pypi.org/project/recommenders) (πŸ“₯ 36K / month Β· πŸ“¦ 4 Β· ⏱️ 24.12.2024): +- [PyPi](https://pypi.org/project/recommenders) (πŸ“₯ 35K / month Β· πŸ“¦ 4 Β· ⏱️ 24.12.2024): ``` pip install recommenders ```
torchrec (πŸ₯‡30 Β· ⭐ 2K) - Pytorch domain library for recommendation systems. BSD-3 -- [GitHub](https://github.com/pytorch/torchrec) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 450 Β· πŸ“¦ 160 Β· πŸ“‹ 450 - 72% open Β· ⏱️ 31.12.2024): +- [GitHub](https://github.com/pytorch/torchrec) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 450 Β· πŸ“¦ 170 Β· πŸ“‹ 450 - 71% open Β· ⏱️ 08.01.2025): ``` git clone https://github.com/pytorch/torchrec ``` -- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (πŸ“₯ 6.5K / month Β· ⏱️ 12.05.2022): +- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (πŸ“₯ 2.2K / month Β· ⏱️ 12.05.2022): ``` pip install torchrec-nightly-cpu ``` @@ -5026,23 +5037,23 @@ _Libraries for building and evaluating recommendation systems._ ``` git clone https://github.com/PreferredAI/cornac ``` -- [PyPi](https://pypi.org/project/cornac) (πŸ“₯ 40K / month Β· πŸ“¦ 18 Β· ⏱️ 24.12.2024): +- [PyPi](https://pypi.org/project/cornac) (πŸ“₯ 38K / month Β· πŸ“¦ 18 Β· ⏱️ 24.12.2024): ``` pip install cornac ``` -- [Conda](https://anaconda.org/conda-forge/cornac) (πŸ“₯ 640K Β· ⏱️ 24.12.2024): +- [Conda](https://anaconda.org/conda-forge/cornac) (πŸ“₯ 650K Β· ⏱️ 24.12.2024): ``` conda install -c conda-forge cornac ```
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scikit-surprise (πŸ₯ˆ27 Β· ⭐ 6.4K Β· πŸ’€) - A Python scikit for building and analyzing recommender.. BSD-3 +
scikit-surprise (πŸ₯ˆ27 Β· ⭐ 6.5K Β· πŸ’€) - A Python scikit for building and analyzing recommender.. BSD-3 - [GitHub](https://github.com/NicolasHug/Surprise) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 1K Β· πŸ“¦ 21 Β· πŸ“‹ 400 - 21% open Β· ⏱️ 14.06.2024): ``` git clone https://github.com/NicolasHug/Surprise ``` -- [PyPi](https://pypi.org/project/scikit-surprise) (πŸ“₯ 140K / month Β· πŸ“¦ 37 Β· ⏱️ 19.05.2024): +- [PyPi](https://pypi.org/project/scikit-surprise) (πŸ“₯ 150K / month Β· πŸ“¦ 37 Β· ⏱️ 19.05.2024): ``` pip install scikit-surprise ``` @@ -5051,6 +5062,22 @@ _Libraries for building and evaluating recommendation systems._ conda install -c conda-forge scikit-surprise ```
+
RecBole (πŸ₯ˆ25 Β· ⭐ 3.5K) - A unified, comprehensive and efficient recommendation library. MIT + +- [GitHub](https://github.com/RUCAIBox/RecBole) (πŸ‘¨β€πŸ’» 74 Β· πŸ”€ 620 Β· πŸ“‹ 1K - 28% open Β· ⏱️ 05.09.2024): + + ``` + git clone https://github.com/RUCAIBox/RecBole + ``` +- [PyPi](https://pypi.org/project/recbole) (πŸ“₯ 62K / month Β· πŸ“¦ 2 Β· ⏱️ 31.10.2023): + ``` + pip install recbole + ``` +- [Conda](https://anaconda.org/aibox/recbole) (πŸ“₯ 7.2K Β· ⏱️ 01.11.2023): + ``` + conda install -c aibox recbole + ``` +
TF Ranking (πŸ₯ˆ25 Β· ⭐ 2.8K Β· πŸ’€) - Learning to Rank in TensorFlow. Apache-2 - [GitHub](https://github.com/tensorflow/ranking) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 480 Β· πŸ“‹ 330 - 27% open Β· ⏱️ 18.03.2024): @@ -5058,7 +5085,7 @@ _Libraries for building and evaluating recommendation systems._ ``` git clone https://github.com/tensorflow/ranking ``` -- [PyPi](https://pypi.org/project/tensorflow_ranking) (πŸ“₯ 45K / month Β· πŸ“¦ 15 Β· ⏱️ 18.03.2024): +- [PyPi](https://pypi.org/project/tensorflow_ranking) (πŸ“₯ 40K / month Β· πŸ“¦ 15 Β· ⏱️ 18.03.2024): ``` pip install tensorflow_ranking ``` @@ -5070,34 +5097,18 @@ _Libraries for building and evaluating recommendation systems._ ``` git clone https://github.com/tensorflow/recommenders ``` -- [PyPi](https://pypi.org/project/tensorflow-recommenders) (πŸ“₯ 270K / month Β· πŸ“¦ 2 Β· ⏱️ 03.02.2023): +- [PyPi](https://pypi.org/project/tensorflow-recommenders) (πŸ“₯ 260K / month Β· πŸ“¦ 2 Β· ⏱️ 03.02.2023): ``` pip install tensorflow-recommenders ```
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RecBole (πŸ₯‰24 Β· ⭐ 3.5K) - A unified, comprehensive and efficient recommendation library. MIT - -- [GitHub](https://github.com/RUCAIBox/RecBole) (πŸ‘¨β€πŸ’» 74 Β· πŸ”€ 620 Β· πŸ“‹ 1K - 28% open Β· ⏱️ 05.09.2024): - - ``` - git clone https://github.com/RUCAIBox/RecBole - ``` -- [PyPi](https://pypi.org/project/recbole) (πŸ“₯ 59K / month Β· πŸ“¦ 2 Β· ⏱️ 31.10.2023): - ``` - pip install recbole - ``` -- [Conda](https://anaconda.org/aibox/recbole) (πŸ“₯ 7.2K Β· ⏱️ 01.11.2023): - ``` - conda install -c aibox recbole - ``` -
Show 10 hidden projects... - implicit (πŸ₯ˆ29 Β· ⭐ 3.6K Β· πŸ’€) - Fast Python Collaborative Filtering for Implicit Feedback Datasets. MIT - lightfm (πŸ₯ˆ28 Β· ⭐ 4.8K Β· πŸ’€) - A Python implementation of LightFM, a hybrid recommendation.. Apache-2 - lkpy (πŸ₯ˆ25 Β· ⭐ 270) - Python recommendation toolkit. MIT -- fastFM (πŸ₯‰22 Β· ⭐ 1.1K Β· πŸ’€) - fastFM: A Library for Factorization Machines. BSD-3 - tensorrec (πŸ₯‰21 Β· ⭐ 1.3K Β· πŸ’€) - A TensorFlow recommendation algorithm and framework in.. Apache-2 +- fastFM (πŸ₯‰21 Β· ⭐ 1.1K Β· πŸ’€) - fastFM: A Library for Factorization Machines. BSD-3 - recmetrics (πŸ₯‰19 Β· ⭐ 570 Β· πŸ’€) - A library of metrics for evaluating recommender systems. MIT - Spotlight (πŸ₯‰18 Β· ⭐ 3K Β· πŸ’€) - Deep recommender models using PyTorch. MIT - Case Recommender (πŸ₯‰18 Β· ⭐ 490 Β· πŸ’€) - Case Recommender: A Flexible and Extensible Python.. MIT @@ -5112,26 +5123,26 @@ _Libraries for building and evaluating recommendation systems._ _Libraries for encrypted and privacy-preserving machine learning using methods like federated learning & differential privacy._ -
PySyft (πŸ₯‡35 Β· ⭐ 9.6K) - Perform data science on data that remains in someone elses server. Apache-2 +
PySyft (πŸ₯‡34 Β· ⭐ 9.6K Β· πŸ“‰) - Perform data science on data that remains in someone elses.. Apache-2 - [GitHub](https://github.com/OpenMined/PySyft) (πŸ‘¨β€πŸ’» 520 Β· πŸ”€ 2K Β· πŸ“₯ 2.4K Β· πŸ“¦ 1 Β· πŸ“‹ 3.4K - 1% open Β· ⏱️ 03.11.2024): ``` git clone https://github.com/OpenMined/PySyft ``` -- [PyPi](https://pypi.org/project/syft) (πŸ“₯ 11K / month Β· πŸ“¦ 4 Β· ⏱️ 03.11.2024): +- [PyPi](https://pypi.org/project/syft) (πŸ“₯ 15K / month Β· πŸ“¦ 4 Β· ⏱️ 03.11.2024): ``` pip install syft ```
Opacus (πŸ₯ˆ32 Β· ⭐ 1.7K) - Training PyTorch models with differential privacy. Apache-2 -- [GitHub](https://github.com/pytorch/opacus) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 340 Β· πŸ“₯ 140 Β· πŸ“¦ 950 Β· πŸ“‹ 320 - 22% open Β· ⏱️ 20.12.2024): +- [GitHub](https://github.com/pytorch/opacus) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 340 Β· πŸ“₯ 140 Β· πŸ“¦ 950 Β· πŸ“‹ 320 - 22% open Β· ⏱️ 07.01.2025): ``` git clone https://github.com/pytorch/opacus ``` -- [PyPi](https://pypi.org/project/opacus) (πŸ“₯ 80K / month Β· πŸ“¦ 36 Β· ⏱️ 03.08.2024): +- [PyPi](https://pypi.org/project/opacus) (πŸ“₯ 75K / month Β· πŸ“¦ 36 Β· ⏱️ 03.08.2024): ``` pip install opacus ``` @@ -5140,18 +5151,6 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l conda install -c conda-forge opacus ```
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FATE (πŸ₯ˆ25 Β· ⭐ 5.8K) - An Industrial Grade Federated Learning Framework. Apache-2 - -- [GitHub](https://github.com/FederatedAI/FATE) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 1.6K Β· πŸ“‹ 2.1K - 3% open Β· ⏱️ 19.11.2024): - - ``` - git clone https://github.com/FederatedAI/FATE - ``` -- [PyPi](https://pypi.org/project/ETAF) (⏱️ 06.05.2020): - ``` - pip install ETAF - ``` -
TensorFlow Privacy (πŸ₯ˆ25 Β· ⭐ 1.9K) - Library for training machine learning models with.. Apache-2 - [GitHub](https://github.com/tensorflow/privacy) (πŸ‘¨β€πŸ’» 59 Β· πŸ”€ 440 Β· πŸ“₯ 180 Β· πŸ“‹ 210 - 55% open Β· ⏱️ 25.11.2024): @@ -5164,6 +5163,18 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l pip install tensorflow-privacy ```
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FATE (πŸ₯‰24 Β· ⭐ 5.8K) - An Industrial Grade Federated Learning Framework. Apache-2 + +- [GitHub](https://github.com/FederatedAI/FATE) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 1.6K Β· πŸ“‹ 2.1K - 3% open Β· ⏱️ 19.11.2024): + + ``` + git clone https://github.com/FederatedAI/FATE + ``` +- [PyPi](https://pypi.org/project/ETAF) (πŸ“₯ 1 / month Β· ⏱️ 06.05.2020): + ``` + pip install ETAF + ``` +
CrypTen (πŸ₯‰24 Β· ⭐ 1.6K) - A framework for Privacy Preserving Machine Learning. MIT - [GitHub](https://github.com/facebookresearch/CrypTen) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 280 Β· πŸ“¦ 47 Β· πŸ“‹ 280 - 28% open Β· ⏱️ 23.11.2024): @@ -5183,7 +5194,7 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l ``` git clone https://github.com/tf-encrypted/tf-encrypted ``` -- [PyPi](https://pypi.org/project/tf-encrypted) (πŸ“₯ 850 / month Β· πŸ“¦ 9 Β· ⏱️ 16.11.2022): +- [PyPi](https://pypi.org/project/tf-encrypted) (πŸ“₯ 960 / month Β· πŸ“¦ 9 Β· ⏱️ 16.11.2022): ``` pip install tf-encrypted ``` @@ -5202,12 +5213,12 @@ _Libraries to organize, track, and visualize machine learning experiments._
mlflow (πŸ₯‡44 Β· ⭐ 19K) - Open source platform for the machine learning lifecycle. Apache-2 -- [GitHub](https://github.com/mlflow/mlflow) (πŸ‘¨β€πŸ’» 810 Β· πŸ”€ 4.3K Β· πŸ“¦ 49K Β· πŸ“‹ 4.3K - 38% open Β· ⏱️ 31.12.2024): +- [GitHub](https://github.com/mlflow/mlflow) (πŸ‘¨β€πŸ’» 810 Β· πŸ”€ 4.3K Β· πŸ“¦ 49K Β· πŸ“‹ 4.3K - 38% open Β· ⏱️ 09.01.2025): ``` git clone https://github.com/mlflow/mlflow ``` -- [PyPi](https://pypi.org/project/mlflow) (πŸ“₯ 14M / month Β· πŸ“¦ 930 Β· ⏱️ 11.12.2024): +- [PyPi](https://pypi.org/project/mlflow) (πŸ“₯ 13M / month Β· πŸ“¦ 930 Β· ⏱️ 11.12.2024): ``` pip install mlflow ``` @@ -5216,36 +5227,36 @@ _Libraries to organize, track, and visualize machine learning experiments._ conda install -c conda-forge mlflow ```
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Tensorboard (πŸ₯‡43 Β· ⭐ 6.8K) - TensorFlows Visualization Toolkit. Apache-2 +
wandb client (πŸ₯‡42 Β· ⭐ 9.4K) - The AI developer platform. Use Weights & Biases to train and fine-.. MIT -- [GitHub](https://github.com/tensorflow/tensorboard) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 1.7K Β· πŸ“¦ 280K Β· πŸ“‹ 1.9K - 35% open Β· ⏱️ 18.12.2024): +- [GitHub](https://github.com/wandb/wandb) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 690 Β· πŸ“₯ 440 Β· πŸ“¦ 63K Β· πŸ“‹ 3.4K - 17% open Β· ⏱️ 09.01.2025): ``` - git clone https://github.com/tensorflow/tensorboard + git clone https://github.com/wandb/client ``` -- [PyPi](https://pypi.org/project/tensorboard) (πŸ“₯ 25M / month Β· πŸ“¦ 2.2K Β· ⏱️ 25.09.2024): +- [PyPi](https://pypi.org/project/wandb) (πŸ“₯ 16M / month Β· πŸ“¦ 1.6K Β· ⏱️ 07.01.2025): ``` - pip install tensorboard + pip install wandb ``` -- [Conda](https://anaconda.org/conda-forge/tensorboard) (πŸ“₯ 5.3M Β· ⏱️ 10.12.2024): +- [Conda](https://anaconda.org/conda-forge/wandb) (πŸ“₯ 820K Β· ⏱️ 08.01.2025): ``` - conda install -c conda-forge tensorboard + conda install -c conda-forge wandb ```
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wandb client (πŸ₯‡42 Β· ⭐ 9.3K) - The AI developer platform. Use Weights & Biases to train and fine-.. MIT +
Tensorboard (πŸ₯‡42 Β· ⭐ 6.8K Β· πŸ“‰) - TensorFlows Visualization Toolkit. Apache-2 -- [GitHub](https://github.com/wandb/wandb) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 680 Β· πŸ“₯ 430 Β· πŸ“¦ 62K Β· πŸ“‹ 3.4K - 17% open Β· ⏱️ 01.01.2025): +- [GitHub](https://github.com/tensorflow/tensorboard) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 1.7K Β· πŸ“¦ 280K Β· πŸ“‹ 1.9K - 35% open Β· ⏱️ 18.12.2024): ``` - git clone https://github.com/wandb/client + git clone https://github.com/tensorflow/tensorboard ``` -- [PyPi](https://pypi.org/project/wandb) (πŸ“₯ 17M / month Β· πŸ“¦ 1.6K Β· ⏱️ 13.12.2024): +- [PyPi](https://pypi.org/project/tensorboard) (πŸ“₯ 22M / month Β· πŸ“¦ 2.2K Β· ⏱️ 25.09.2024): ``` - pip install wandb + pip install tensorboard ``` -- [Conda](https://anaconda.org/conda-forge/wandb) (πŸ“₯ 810K Β· ⏱️ 14.12.2024): +- [Conda](https://anaconda.org/conda-forge/tensorboard) (πŸ“₯ 5.3M Β· ⏱️ 10.12.2024): ``` - conda install -c conda-forge wandb + conda install -c conda-forge tensorboard ```
DVC (πŸ₯‡41 Β· ⭐ 14K) - Data Versioning and ML Experiments. Apache-2 @@ -5255,7 +5266,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/iterative/dvc ``` -- [PyPi](https://pypi.org/project/dvc) (πŸ“₯ 450K / month Β· πŸ“¦ 130 Β· ⏱️ 01.12.2024): +- [PyPi](https://pypi.org/project/dvc) (πŸ“₯ 430K / month Β· πŸ“¦ 130 Β· ⏱️ 01.12.2024): ``` pip install dvc ``` @@ -5264,14 +5275,14 @@ _Libraries to organize, track, and visualize machine learning experiments._ conda install -c conda-forge dvc ```
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SageMaker SDK (πŸ₯‡41 Β· ⭐ 2.1K) - A library for training and deploying machine learning.. Apache-2 +
SageMaker SDK (πŸ₯ˆ40 Β· ⭐ 2.1K Β· πŸ“‰) - A library for training and deploying machine learning.. Apache-2 -- [GitHub](https://github.com/aws/sagemaker-python-sdk) (πŸ‘¨β€πŸ’» 460 Β· πŸ”€ 1.1K Β· πŸ“¦ 5K Β· πŸ“‹ 1.6K - 22% open Β· ⏱️ 30.12.2024): +- [GitHub](https://github.com/aws/sagemaker-python-sdk) (πŸ‘¨β€πŸ’» 460 Β· πŸ”€ 1.1K Β· πŸ“¦ 5.1K Β· πŸ“‹ 1.6K - 22% open Β· ⏱️ 09.01.2025): ``` git clone https://github.com/aws/sagemaker-python-sdk ``` -- [PyPi](https://pypi.org/project/sagemaker) (πŸ“₯ 25M / month Β· πŸ“¦ 160 Β· ⏱️ 05.12.2024): +- [PyPi](https://pypi.org/project/sagemaker) (πŸ“₯ 24M / month Β· πŸ“¦ 160 Β· ⏱️ 05.12.2024): ``` pip install sagemaker ``` @@ -5280,39 +5291,39 @@ _Libraries to organize, track, and visualize machine learning experiments._ conda install -c conda-forge sagemaker-python-sdk ```
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PyCaret (πŸ₯ˆ35 Β· ⭐ 9.1K) - An open-source, low-code machine learning library in Python. MIT +
Metaflow (πŸ₯ˆ36 Β· ⭐ 8.4K) - Open Source AI/ML Platform. Apache-2 -- [GitHub](https://github.com/pycaret/pycaret) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.8K Β· πŸ“₯ 720 Β· πŸ“¦ 6.9K Β· πŸ“‹ 2.3K - 16% open Β· ⏱️ 30.08.2024): +- [GitHub](https://github.com/Netflix/metaflow) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 780 Β· πŸ“¦ 790 Β· πŸ“‹ 750 - 42% open Β· ⏱️ 08.01.2025): ``` - git clone https://github.com/pycaret/pycaret + git clone https://github.com/Netflix/metaflow ``` -- [PyPi](https://pypi.org/project/pycaret) (πŸ“₯ 310K / month Β· πŸ“¦ 31 Β· ⏱️ 28.04.2024): +- [PyPi](https://pypi.org/project/metaflow) (πŸ“₯ 870K / month Β· πŸ“¦ 48 Β· ⏱️ 08.01.2025): ``` - pip install pycaret + pip install metaflow ``` -- [Conda](https://anaconda.org/conda-forge/pycaret) (πŸ“₯ 61K Β· ⏱️ 25.04.2024): +- [Conda](https://anaconda.org/conda-forge/metaflow) (πŸ“₯ 240K Β· ⏱️ 09.01.2025): ``` - conda install -c conda-forge pycaret + conda install -c conda-forge metaflow ```
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Metaflow (πŸ₯ˆ35 Β· ⭐ 8.4K) - Open Source AI/ML Platform. Apache-2 +
PyCaret (πŸ₯ˆ35 Β· ⭐ 9.1K) - An open-source, low-code machine learning library in Python. MIT -- [GitHub](https://github.com/Netflix/metaflow) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 780 Β· πŸ“¦ 780 Β· πŸ“‹ 760 - 42% open Β· ⏱️ 27.12.2024): +- [GitHub](https://github.com/pycaret/pycaret) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.8K Β· πŸ“₯ 720 Β· πŸ“¦ 6.9K Β· πŸ“‹ 2.3K - 16% open Β· ⏱️ 30.08.2024): ``` - git clone https://github.com/Netflix/metaflow + git clone https://github.com/pycaret/pycaret ``` -- [PyPi](https://pypi.org/project/metaflow) (πŸ“₯ 910K / month Β· πŸ“¦ 47 Β· ⏱️ 20.12.2024): +- [PyPi](https://pypi.org/project/pycaret) (πŸ“₯ 290K / month Β· πŸ“¦ 31 Β· ⏱️ 28.04.2024): ``` - pip install metaflow + pip install pycaret ``` -- [Conda](https://anaconda.org/conda-forge/metaflow) (πŸ“₯ 240K Β· ⏱️ 28.12.2024): +- [Conda](https://anaconda.org/conda-forge/pycaret) (πŸ“₯ 61K Β· ⏱️ 25.04.2024): ``` - conda install -c conda-forge metaflow + conda install -c conda-forge pycaret ```
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tensorboardX (πŸ₯ˆ34 Β· ⭐ 7.9K Β· πŸ“ˆ) - tensorboard for pytorch (and chainer, mxnet, numpy, ...). MIT +
tensorboardX (πŸ₯ˆ34 Β· ⭐ 7.9K) - tensorboard for pytorch (and chainer, mxnet, numpy, ...). MIT - [GitHub](https://github.com/lanpa/tensorboardX) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 860 Β· πŸ“₯ 460 Β· πŸ“¦ 52K Β· πŸ“‹ 460 - 17% open Β· ⏱️ 01.01.2025): @@ -5330,28 +5341,28 @@ _Libraries to organize, track, and visualize machine learning experiments._
snakemake (πŸ₯ˆ34 Β· ⭐ 2.3K) - This is the development home of the workflow management system.. MIT -- [GitHub](https://github.com/snakemake/snakemake) (πŸ‘¨β€πŸ’» 350 Β· πŸ”€ 560 Β· πŸ“¦ 2.2K Β· πŸ“‹ 1.8K - 61% open Β· ⏱️ 23.12.2024): +- [GitHub](https://github.com/snakemake/snakemake) (πŸ‘¨β€πŸ’» 350 Β· πŸ”€ 560 Β· πŸ“¦ 2.2K Β· πŸ“‹ 1.8K - 61% open Β· ⏱️ 08.01.2025): ``` git clone https://github.com/snakemake/snakemake ``` -- [PyPi](https://pypi.org/project/snakemake) (πŸ“₯ 77K / month Β· πŸ“¦ 260 Β· ⏱️ 23.12.2024): +- [PyPi](https://pypi.org/project/snakemake) (πŸ“₯ 80K / month Β· πŸ“¦ 260 Β· ⏱️ 08.01.2025): ``` pip install snakemake ``` -- [Conda](https://anaconda.org/bioconda/snakemake) (πŸ“₯ 1.3M Β· ⏱️ 23.12.2024): +- [Conda](https://anaconda.org/bioconda/snakemake) (πŸ“₯ 1.3M Β· ⏱️ 08.01.2025): ``` conda install -c bioconda snakemake ```
ClearML (πŸ₯ˆ33 Β· ⭐ 5.8K) - ClearML - Auto-Magical CI/CD to streamline your AI workload... Apache-2 -- [GitHub](https://github.com/allegroai/clearml) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 660 Β· πŸ“₯ 3.1K Β· πŸ“¦ 1.5K Β· πŸ“‹ 1.1K - 46% open Β· ⏱️ 01.01.2025): +- [GitHub](https://github.com/allegroai/clearml) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 660 Β· πŸ“₯ 3.1K Β· πŸ“¦ 1.5K Β· πŸ“‹ 1.1K - 46% open Β· ⏱️ 08.01.2025): ``` git clone https://github.com/allegroai/clearml ``` -- [PyPi](https://pypi.org/project/clearml) (πŸ“₯ 330K / month Β· πŸ“¦ 51 Β· ⏱️ 18.12.2024): +- [PyPi](https://pypi.org/project/clearml) (πŸ“₯ 320K / month Β· πŸ“¦ 51 Β· ⏱️ 18.12.2024): ``` pip install clearml ``` @@ -5362,7 +5373,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
aim (πŸ₯ˆ32 Β· ⭐ 5.3K) - Aim An easy-to-use & supercharged open-source experiment tracker. Apache-2 -- [GitHub](https://github.com/aimhubio/aim) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 320 Β· πŸ“¦ 770 Β· πŸ“‹ 1.1K - 36% open Β· ⏱️ 18.12.2024): +- [GitHub](https://github.com/aimhubio/aim) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 320 Β· πŸ“¦ 780 Β· πŸ“‹ 1.1K - 36% open Β· ⏱️ 18.12.2024): ``` git clone https://github.com/aimhubio/aim @@ -5371,7 +5382,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` pip install aim ``` -- [Conda](https://anaconda.org/conda-forge/aim) (πŸ“₯ 92K Β· ⏱️ 14.06.2024): +- [Conda](https://anaconda.org/conda-forge/aim) (πŸ“₯ 93K Β· ⏱️ 14.06.2024): ``` conda install -c conda-forge aim ``` @@ -5383,14 +5394,14 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/Azure/MachineLearningNotebooks ``` -- [PyPi](https://pypi.org/project/azureml-sdk) (πŸ“₯ 290K / month Β· πŸ“¦ 31 Β· ⏱️ 10.12.2024): +- [PyPi](https://pypi.org/project/azureml-sdk) (πŸ“₯ 280K / month Β· πŸ“¦ 31 Β· ⏱️ 10.12.2024): ``` pip install azureml-sdk ```
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kaggle (πŸ₯ˆ31 Β· ⭐ 6.4K Β· πŸ“‰) - Official Kaggle API. Apache-2 +
kaggle (πŸ₯ˆ31 Β· ⭐ 6.4K) - Official Kaggle API. Apache-2 -- [GitHub](https://github.com/Kaggle/kaggle-api) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 1.1K Β· πŸ“¦ 21 Β· πŸ“‹ 490 - 30% open Β· ⏱️ 23.12.2024): +- [GitHub](https://github.com/Kaggle/kaggle-api) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 1.1K Β· πŸ“¦ 21 Β· πŸ“‹ 490 - 29% open Β· ⏱️ 08.01.2025): ``` git clone https://github.com/Kaggle/kaggle-api @@ -5411,7 +5422,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/IDSIA/sacred ``` -- [PyPi](https://pypi.org/project/sacred) (πŸ“₯ 27K / month Β· πŸ“¦ 60 Β· ⏱️ 26.11.2024): +- [PyPi](https://pypi.org/project/sacred) (πŸ“₯ 24K / month Β· πŸ“¦ 60 Β· ⏱️ 26.11.2024): ``` pip install sacred ``` @@ -5422,12 +5433,12 @@ _Libraries to organize, track, and visualize machine learning experiments._
VisualDL (πŸ₯ˆ30 Β· ⭐ 4.8K) - Deep Learning Visualization Toolkit. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/VisualDL) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 630 Β· πŸ“₯ 480 Β· πŸ“¦ 2 Β· πŸ“‹ 500 - 28% open Β· ⏱️ 11.12.2024): +- [GitHub](https://github.com/PaddlePaddle/VisualDL) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 630 Β· πŸ“₯ 490 Β· πŸ“¦ 2 Β· πŸ“‹ 500 - 28% open Β· ⏱️ 11.12.2024): ``` git clone https://github.com/PaddlePaddle/VisualDL ``` -- [PyPi](https://pypi.org/project/visualdl) (πŸ“₯ 190K / month Β· πŸ“¦ 82 Β· ⏱️ 30.10.2024): +- [PyPi](https://pypi.org/project/visualdl) (πŸ“₯ 160K / month Β· πŸ“¦ 82 Β· ⏱️ 30.10.2024): ``` pip install visualdl ``` @@ -5443,23 +5454,35 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` pip install neptune-client ``` -- [Conda](https://anaconda.org/conda-forge/neptune-client) (πŸ“₯ 300K Β· ⏱️ 31.10.2024): +- [Conda](https://anaconda.org/conda-forge/neptune-client) (πŸ“₯ 310K Β· ⏱️ 31.10.2024): ``` conda install -c conda-forge neptune-client ```
Labml (πŸ₯‰28 Β· ⭐ 2.1K) - Monitor deep learning model training and hardware usage from your mobile.. MIT -- [GitHub](https://github.com/labmlai/labml) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 140 Β· πŸ“¦ 200 Β· πŸ“‹ 48 - 10% open Β· ⏱️ 22.12.2024): +- [GitHub](https://github.com/labmlai/labml) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 140 Β· πŸ“¦ 200 Β· πŸ“‹ 48 - 10% open Β· ⏱️ 08.01.2025): ``` git clone https://github.com/labmlai/labml ``` -- [PyPi](https://pypi.org/project/labml) (πŸ“₯ 5.6K / month Β· πŸ“¦ 14 Β· ⏱️ 15.09.2024): +- [PyPi](https://pypi.org/project/labml) (πŸ“₯ 5.7K / month Β· πŸ“¦ 14 Β· ⏱️ 15.09.2024): ``` pip install labml ```
+
livelossplot (πŸ₯‰28 Β· ⭐ 1.3K Β· πŸ“ˆ) - Live training loss plot in Jupyter Notebook for Keras,.. MIT + +- [GitHub](https://github.com/stared/livelossplot) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 140 Β· πŸ“¦ 1.8K Β· πŸ“‹ 79 - 7% open Β· ⏱️ 03.01.2025): + + ``` + git clone https://github.com/stared/livelossplot + ``` +- [PyPi](https://pypi.org/project/livelossplot) (πŸ“₯ 13K / month Β· πŸ“¦ 16 Β· ⏱️ 03.01.2025): + ``` + pip install livelossplot + ``` +
ml-metadata (πŸ₯‰27 Β· ⭐ 630) - For recording and retrieving metadata associated with ML.. Apache-2 - [GitHub](https://github.com/google/ml-metadata) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 150 Β· πŸ“₯ 2.9K Β· πŸ“¦ 610 Β· πŸ“‹ 120 - 38% open Β· ⏱️ 24.10.2024): @@ -5467,43 +5490,43 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/google/ml-metadata ``` -- [PyPi](https://pypi.org/project/ml-metadata) (πŸ“₯ 75K / month Β· πŸ“¦ 31 Β· ⏱️ 01.10.2024): +- [PyPi](https://pypi.org/project/ml-metadata) (πŸ“₯ 70K / month Β· πŸ“¦ 31 Β· ⏱️ 01.10.2024): ``` pip install ml-metadata ```
TNT (πŸ₯‰25 Β· ⭐ 1.7K) - A lightweight library for PyTorch training tools and utilities. BSD-3 -- [GitHub](https://github.com/pytorch/tnt) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 280 Β· πŸ“‹ 150 - 56% open Β· ⏱️ 31.12.2024): +- [GitHub](https://github.com/pytorch/tnt) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 280 Β· πŸ“‹ 150 - 56% open Β· ⏱️ 08.01.2025): ``` git clone https://github.com/pytorch/tnt ``` -- [PyPi](https://pypi.org/project/torchnet) (πŸ“₯ 4.2K / month Β· πŸ“¦ 24 Β· ⏱️ 29.07.2018): +- [PyPi](https://pypi.org/project/torchnet) (πŸ“₯ 4.1K / month Β· πŸ“¦ 24 Β· ⏱️ 29.07.2018): ``` pip install torchnet ```
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quinn (πŸ₯‰25 Β· ⭐ 650) - pyspark methods to enhance developer productivity. Apache-2 +
quinn (πŸ₯‰25 Β· ⭐ 660) - pyspark methods to enhance developer productivity. Apache-2 - [GitHub](https://github.com/mrpowers-io/quinn) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 98 Β· πŸ“₯ 53 Β· πŸ“¦ 89 Β· πŸ“‹ 130 - 27% open Β· ⏱️ 06.12.2024): ``` git clone https://github.com/MrPowers/quinn ``` -- [PyPi](https://pypi.org/project/quinn) (πŸ“₯ 660K / month Β· πŸ“¦ 7 Β· ⏱️ 13.02.2024): +- [PyPi](https://pypi.org/project/quinn) (πŸ“₯ 640K / month Β· πŸ“¦ 7 Β· ⏱️ 13.02.2024): ``` pip install quinn ```
gokart (πŸ₯‰25 Β· ⭐ 320) - Gokart solves reproducibility, task dependencies, constraints of good code,.. MIT -- [GitHub](https://github.com/m3dev/gokart) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 60 Β· πŸ“¦ 84 Β· πŸ“‹ 85 - 25% open Β· ⏱️ 23.12.2024): +- [GitHub](https://github.com/m3dev/gokart) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 60 Β· πŸ“¦ 84 Β· πŸ“‹ 85 - 25% open Β· ⏱️ 09.01.2025): ``` git clone https://github.com/m3dev/gokart ``` -- [PyPi](https://pypi.org/project/gokart) (πŸ“₯ 4.2K / month Β· πŸ“¦ 8 Β· ⏱️ 02.12.2024): +- [PyPi](https://pypi.org/project/gokart) (πŸ“₯ 4K / month Β· πŸ“¦ 8 Β· ⏱️ 02.12.2024): ``` pip install gokart ``` @@ -5515,7 +5538,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/replicate/keepsake ``` -- [PyPi](https://pypi.org/project/keepsake) (πŸ“₯ 160 / month Β· πŸ“¦ 1 Β· ⏱️ 25.01.2021): +- [PyPi](https://pypi.org/project/keepsake) (πŸ“₯ 170 / month Β· πŸ“¦ 1 Β· ⏱️ 25.01.2021): ``` pip install keepsake ``` @@ -5527,7 +5550,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/google/caliban ``` -- [PyPi](https://pypi.org/project/caliban) (πŸ“₯ 550 / month Β· ⏱️ 12.09.2020): +- [PyPi](https://pypi.org/project/caliban) (πŸ“₯ 410 / month Β· ⏱️ 12.09.2020): ``` pip install caliban ``` @@ -5539,7 +5562,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/comet-ml/examples ``` -- [PyPi](https://pypi.org/project/comet_ml) (πŸ“₯ 180K / month Β· πŸ“¦ 83 Β· ⏱️ 23.12.2024): +- [PyPi](https://pypi.org/project/comet_ml) (πŸ“₯ 150K / month Β· πŸ“¦ 83 Β· ⏱️ 23.12.2024): ``` pip install comet_ml ``` @@ -5548,11 +5571,10 @@ _Libraries to organize, track, and visualize machine learning experiments._ conda install -c anaconda comet_ml ```
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Show 16 hidden projects... +
Show 15 hidden projects... - Catalyst (πŸ₯‰28 Β· ⭐ 3.3K Β· πŸ’€) - Accelerated deep learning R&D. Apache-2 -- knockknock (πŸ₯‰25 Β· ⭐ 2.8K Β· πŸ’€) - Knock Knock: Get notified when your training ends with only two.. MIT -- livelossplot (πŸ₯‰25 Β· ⭐ 1.3K Β· πŸ’€) - Live training loss plot in Jupyter Notebook for Keras,.. MIT +- knockknock (πŸ₯‰27 Β· ⭐ 2.8K Β· πŸ’€) - Knock Knock: Get notified when your training ends with only two.. MIT - SKLL (πŸ₯‰24 Β· ⭐ 550) - SciKit-Learn Laboratory (SKLL) makes it easy to run machine.. ❗Unlicensed - Guild AI (πŸ₯‰23 Β· ⭐ 870 Β· πŸ’€) - Experiment tracking, ML developer tools. Apache-2 - hiddenlayer (πŸ₯‰22 Β· ⭐ 1.8K Β· πŸ’€) - Neural network graphs and training metrics for.. MIT @@ -5562,7 +5584,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ - TensorWatch (πŸ₯‰20 Β· ⭐ 3.4K Β· πŸ’€) - Debugging, monitoring and visualization for Python Machine.. MIT - MXBoard (πŸ₯‰20 Β· ⭐ 320 Β· πŸ’€) - Logging MXNet data for visualization in TensorBoard. Apache-2 - datmo (πŸ₯‰18 Β· ⭐ 340 Β· πŸ’€) - Open source production model management tool for data scientists. MIT -- chitra (πŸ₯‰17 Β· ⭐ 220 Β· πŸ’€) - A multi-functional library for full-stack Deep Learning... Apache-2 +- chitra (πŸ₯‰18 Β· ⭐ 220 Β· πŸ’€) - A multi-functional library for full-stack Deep Learning... Apache-2 - steppy (πŸ₯‰17 Β· ⭐ 130 Β· πŸ’€) - Lightweight, Python library for fast and reproducible experimentation. MIT - ModelChimp (πŸ₯‰13 Β· ⭐ 130 Β· πŸ’€) - Experiment tracking for machine and deep learning projects. BSD-2 - traintool (πŸ₯‰9 Β· ⭐ 12 Β· πŸ’€) - Train off-the-shelf machine learning models in one.. Apache-2 @@ -5577,12 +5599,12 @@ _Libraries to serialize models to files, convert between a variety of model form
onnx (πŸ₯‡43 Β· ⭐ 18K) - Open standard for machine learning interoperability. Apache-2 -- [GitHub](https://github.com/onnx/onnx) (πŸ‘¨β€πŸ’» 330 Β· πŸ”€ 3.7K Β· πŸ“₯ 23K Β· πŸ“¦ 38K Β· πŸ“‹ 2.9K - 11% open Β· ⏱️ 02.01.2025): +- [GitHub](https://github.com/onnx/onnx) (πŸ‘¨β€πŸ’» 330 Β· πŸ”€ 3.7K Β· πŸ“₯ 23K Β· πŸ“¦ 38K Β· πŸ“‹ 2.9K - 11% open Β· ⏱️ 08.01.2025): ``` git clone https://github.com/onnx/onnx ``` -- [PyPi](https://pypi.org/project/onnx) (πŸ“₯ 5.5M / month Β· πŸ“¦ 1.1K Β· ⏱️ 01.10.2024): +- [PyPi](https://pypi.org/project/onnx) (πŸ“₯ 5.3M / month Β· πŸ“¦ 1.1K Β· ⏱️ 01.10.2024): ``` pip install onnx ``` @@ -5593,72 +5615,72 @@ _Libraries to serialize models to files, convert between a variety of model form
triton (πŸ₯‡43 Β· ⭐ 14K) - Development repository for the Triton language and compiler. MIT -- [GitHub](https://github.com/triton-lang/triton) (πŸ‘¨β€πŸ’» 350 Β· πŸ”€ 1.7K Β· πŸ“¦ 48K Β· πŸ“‹ 1.6K - 43% open Β· ⏱️ 01.01.2025): +- [GitHub](https://github.com/triton-lang/triton) (πŸ‘¨β€πŸ’» 360 Β· πŸ”€ 1.7K Β· πŸ“¦ 49K Β· πŸ“‹ 1.6K - 43% open Β· ⏱️ 08.01.2025): ``` git clone https://github.com/openai/triton ``` -- [PyPi](https://pypi.org/project/triton) (πŸ“₯ 14M / month Β· πŸ“¦ 260 Β· ⏱️ 14.10.2024): +- [PyPi](https://pypi.org/project/triton) (πŸ“₯ 13M / month Β· πŸ“¦ 260 Β· ⏱️ 14.10.2024): ``` pip install triton ```
huggingface_hub (πŸ₯ˆ38 Β· ⭐ 2.2K) - The official Python client for the Huggingface Hub. Apache-2 -- [GitHub](https://github.com/huggingface/huggingface_hub) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 570 Β· πŸ“‹ 1K - 14% open Β· ⏱️ 23.12.2024): +- [GitHub](https://github.com/huggingface/huggingface_hub) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 580 Β· πŸ“‹ 1K - 15% open Β· ⏱️ 06.01.2025): ``` git clone https://github.com/huggingface/huggingface_hub ``` -- [PyPi](https://pypi.org/project/huggingface_hub) (πŸ“₯ 46M / month Β· πŸ“¦ 2.2K Β· ⏱️ 16.12.2024): +- [PyPi](https://pypi.org/project/huggingface_hub) (πŸ“₯ 42M / month Β· πŸ“¦ 2.3K Β· ⏱️ 06.01.2025): ``` pip install huggingface_hub ``` -- [Conda](https://anaconda.org/conda-forge/huggingface_hub) (πŸ“₯ 2.5M Β· ⏱️ 10.12.2024): +- [Conda](https://anaconda.org/conda-forge/huggingface_hub) (πŸ“₯ 2.5M Β· ⏱️ 08.01.2025): ``` conda install -c conda-forge huggingface_hub ```
Core ML Tools (πŸ₯ˆ36 Β· ⭐ 4.5K) - Core ML tools contain supporting tools for Core ML model.. BSD-3 -- [GitHub](https://github.com/apple/coremltools) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 640 Β· πŸ“₯ 13K Β· πŸ“¦ 4.4K Β· πŸ“‹ 1.5K - 24% open Β· ⏱️ 19.12.2024): +- [GitHub](https://github.com/apple/coremltools) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 640 Β· πŸ“₯ 13K Β· πŸ“¦ 4.4K Β· πŸ“‹ 1.5K - 24% open Β· ⏱️ 07.01.2025): ``` git clone https://github.com/apple/coremltools ``` -- [PyPi](https://pypi.org/project/coremltools) (πŸ“₯ 580K / month Β· πŸ“¦ 87 Β· ⏱️ 20.11.2024): +- [PyPi](https://pypi.org/project/coremltools) (πŸ“₯ 500K / month Β· πŸ“¦ 87 Β· ⏱️ 20.11.2024): ``` pip install coremltools ``` -- [Conda](https://anaconda.org/conda-forge/coremltools) (πŸ“₯ 79K Β· ⏱️ 27.12.2024): +- [Conda](https://anaconda.org/conda-forge/coremltools) (πŸ“₯ 80K Β· ⏱️ 27.12.2024): ``` conda install -c conda-forge coremltools ```
BentoML (πŸ₯ˆ35 Β· ⭐ 7.3K) - The easiest way to serve AI apps and models - Build Model Inference.. Apache-2 -- [GitHub](https://github.com/bentoml/BentoML) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 800 Β· πŸ“₯ 760 Β· πŸ“¦ 2.3K Β· πŸ“‹ 1.1K - 14% open Β· ⏱️ 27.12.2024): +- [GitHub](https://github.com/bentoml/BentoML) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 800 Β· πŸ“₯ 720 Β· πŸ“¦ 2.3K Β· πŸ“‹ 1.1K - 14% open Β· ⏱️ 09.01.2025): ``` git clone https://github.com/bentoml/BentoML ``` -- [PyPi](https://pypi.org/project/bentoml) (πŸ“₯ 87K / month Β· πŸ“¦ 33 Β· ⏱️ 27.12.2024): +- [PyPi](https://pypi.org/project/bentoml) (πŸ“₯ 80K / month Β· πŸ“¦ 33 Β· ⏱️ 06.01.2025): ``` pip install bentoml ```
TorchServe (πŸ₯ˆ33 Β· ⭐ 4.3K) - Serve, optimize and scale PyTorch models in production. Apache-2 -- [GitHub](https://github.com/pytorch/serve) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 870 Β· πŸ“₯ 7.4K Β· πŸ“¦ 780 Β· πŸ“‹ 1.7K - 25% open Β· ⏱️ 20.12.2024): +- [GitHub](https://github.com/pytorch/serve) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 870 Β· πŸ“₯ 7.5K Β· πŸ“¦ 790 Β· πŸ“‹ 1.7K - 25% open Β· ⏱️ 20.12.2024): ``` git clone https://github.com/pytorch/serve ``` -- [PyPi](https://pypi.org/project/torchserve) (πŸ“₯ 37K / month Β· πŸ“¦ 22 Β· ⏱️ 30.09.2024): +- [PyPi](https://pypi.org/project/torchserve) (πŸ“₯ 36K / month Β· πŸ“¦ 22 Β· ⏱️ 30.09.2024): ``` pip install torchserve ``` -- [Conda](https://anaconda.org/pytorch/torchserve) (πŸ“₯ 410K Β· ⏱️ 30.09.2024): +- [Conda](https://anaconda.org/pytorch/torchserve) (πŸ“₯ 420K Β· ⏱️ 30.09.2024): ``` conda install -c pytorch torchserve ``` @@ -5669,7 +5691,7 @@ _Libraries to serialize models to files, convert between a variety of model form
hls4ml (πŸ₯ˆ27 Β· ⭐ 1.3K) - Machine learning on FPGAs using HLS. Apache-2 -- [GitHub](https://github.com/fastmachinelearning/hls4ml) (πŸ‘¨β€πŸ’» 63 Β· πŸ”€ 420 Β· πŸ“‹ 460 - 41% open Β· ⏱️ 18.12.2024): +- [GitHub](https://github.com/fastmachinelearning/hls4ml) (πŸ‘¨β€πŸ’» 63 Β· πŸ”€ 420 Β· πŸ“‹ 460 - 41% open Β· ⏱️ 07.01.2025): ``` git clone https://github.com/fastmachinelearning/hls4ml @@ -5683,14 +5705,14 @@ _Libraries to serialize models to files, convert between a variety of model form conda install -c conda-forge hls4ml ```
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Hummingbird (πŸ₯ˆ26 Β· ⭐ 3.4K) - Hummingbird compiles trained ML models into tensor computation for.. MIT +
Hummingbird (πŸ₯ˆ25 Β· ⭐ 3.4K) - Hummingbird compiles trained ML models into tensor computation for.. MIT - [GitHub](https://github.com/microsoft/hummingbird) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 280 Β· πŸ“₯ 770 Β· πŸ“‹ 330 - 20% open Β· ⏱️ 24.10.2024): ``` git clone https://github.com/microsoft/hummingbird ``` -- [PyPi](https://pypi.org/project/hummingbird-ml) (πŸ“₯ 7K / month Β· πŸ“¦ 7 Β· ⏱️ 25.10.2024): +- [PyPi](https://pypi.org/project/hummingbird-ml) (πŸ“₯ 6.8K / month Β· πŸ“¦ 7 Β· ⏱️ 25.10.2024): ``` pip install hummingbird-ml ``` @@ -5706,30 +5728,30 @@ _Libraries to serialize models to files, convert between a variety of model form ``` git clone https://github.com/nebuly-ai/nebullvm ``` -- [PyPi](https://pypi.org/project/nebullvm) (πŸ“₯ 670 / month Β· πŸ“¦ 2 Β· ⏱️ 18.06.2023): +- [PyPi](https://pypi.org/project/nebullvm) (πŸ“₯ 720 / month Β· πŸ“¦ 2 Β· ⏱️ 18.06.2023): ``` pip install nebullvm ```
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tfdeploy (πŸ₯‰17 Β· ⭐ 350 Β· πŸ’€) - Deploy tensorflow graphs for fast evaluation and export to.. BSD-3 +
tfdeploy (πŸ₯‰17 Β· ⭐ 350) - Deploy tensorflow graphs for fast evaluation and export to.. BSD-3 -- [GitHub](https://github.com/riga/tfdeploy) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 38 Β· πŸ“‹ 34 - 32% open Β· ⏱️ 25.02.2024): +- [GitHub](https://github.com/riga/tfdeploy) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 38 Β· πŸ“‹ 34 - 32% open Β· ⏱️ 04.01.2025): ``` git clone https://github.com/riga/tfdeploy ``` -- [PyPi](https://pypi.org/project/tfdeploy) (πŸ“₯ 250 / month Β· ⏱️ 30.03.2017): +- [PyPi](https://pypi.org/project/tfdeploy) (πŸ“₯ 340 / month Β· ⏱️ 30.03.2017): ``` pip install tfdeploy ```
Show 10 hidden projects... -- mmdnn (πŸ₯‰25 Β· ⭐ 5.8K Β· πŸ’€) - MMdnn is a set of tools to help users inter-operate among different deep.. MIT -- m2cgen (πŸ₯‰25 Β· ⭐ 2.8K Β· πŸ’€) - Transform ML models into a native code (Java, C, Python, Go,.. MIT +- mmdnn (πŸ₯ˆ25 Β· ⭐ 5.8K Β· πŸ’€) - MMdnn is a set of tools to help users inter-operate among different deep.. MIT +- m2cgen (πŸ₯ˆ25 Β· ⭐ 2.8K Β· πŸ’€) - Transform ML models into a native code (Java, C, Python, Go,.. MIT - cortex (πŸ₯‰23 Β· ⭐ 8K Β· πŸ’€) - Production infrastructure for machine learning at scale. Apache-2 - sklearn-porter (πŸ₯‰23 Β· ⭐ 1.3K Β· πŸ’€) - Transpile trained scikit-learn estimators to C, Java,.. BSD-3 -- OMLT (πŸ₯‰20 Β· ⭐ 290) - Represent trained machine learning models as Pyomo optimization.. ❗Unlicensed +- OMLT (πŸ₯‰20 Β· ⭐ 300) - Represent trained machine learning models as Pyomo optimization.. ❗Unlicensed - pytorch2keras (πŸ₯‰19 Β· ⭐ 860 Β· πŸ’€) - PyTorch to Keras model convertor. MIT - Larq Compute Engine (πŸ₯‰19 Β· ⭐ 240) - Highly optimized inference engine for Binarized.. Apache-2 - modelkit (πŸ₯‰17 Β· ⭐ 150 Β· πŸ’€) - Toolkit for developing and maintaining ML models. MIT @@ -5762,19 +5784,31 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
Netron (πŸ₯‡37 Β· ⭐ 29K) - Visualizer for neural network, deep learning and machine learning.. MIT -- [GitHub](https://github.com/lutzroeder/netron) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 2.8K Β· πŸ“₯ 58K Β· πŸ“¦ 620 Β· πŸ“‹ 1.2K - 1% open Β· ⏱️ 01.01.2025): +- [GitHub](https://github.com/lutzroeder/netron) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 2.8K Β· πŸ“₯ 63K Β· πŸ“¦ 630 Β· πŸ“‹ 1.2K - 1% open Β· ⏱️ 09.01.2025): ``` git clone https://github.com/lutzroeder/netron ``` -- [PyPi](https://pypi.org/project/netron) (πŸ“₯ 25K / month Β· πŸ“¦ 83 Β· ⏱️ 27.12.2024): +- [PyPi](https://pypi.org/project/netron) (πŸ“₯ 22K / month Β· πŸ“¦ 83 Β· ⏱️ 04.01.2025): ``` pip install netron ```
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InterpretML (πŸ₯‡35 Β· ⭐ 6.3K) - Fit interpretable models. Explain blackbox machine learning. MIT + +- [GitHub](https://github.com/interpretml/interpret) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 740 Β· πŸ“¦ 810 Β· πŸ“‹ 460 - 22% open Β· ⏱️ 06.01.2025): + + ``` + git clone https://github.com/interpretml/interpret + ``` +- [PyPi](https://pypi.org/project/interpret) (πŸ“₯ 150K / month Β· πŸ“¦ 50 Β· ⏱️ 06.01.2025): + ``` + pip install interpret + ``` +
arviz (πŸ₯‡35 Β· ⭐ 1.6K) - Exploratory analysis of Bayesian models with Python. Apache-2 -- [GitHub](https://github.com/arviz-devs/arviz) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 410 Β· πŸ“₯ 180 Β· πŸ“¦ 8.7K Β· πŸ“‹ 870 - 20% open Β· ⏱️ 24.12.2024): +- [GitHub](https://github.com/arviz-devs/arviz) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 410 Β· πŸ“₯ 180 Β· πŸ“¦ 8.8K Β· πŸ“‹ 870 - 20% open Β· ⏱️ 24.12.2024): ``` git clone https://github.com/arviz-devs/arviz @@ -5788,18 +5822,6 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin conda install -c conda-forge arviz ```
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InterpretML (πŸ₯‡34 Β· ⭐ 6.3K) - Fit interpretable models. Explain blackbox machine learning. MIT - -- [GitHub](https://github.com/interpretml/interpret) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 740 Β· πŸ“¦ 810 Β· πŸ“‹ 460 - 23% open Β· ⏱️ 02.01.2025): - - ``` - git clone https://github.com/interpretml/interpret - ``` -- [PyPi](https://pypi.org/project/interpret) (πŸ“₯ 130K / month Β· πŸ“¦ 50 Β· ⏱️ 10.12.2024): - ``` - pip install interpret - ``` -
Captum (πŸ₯‡34 Β· ⭐ 5K) - Model interpretability and understanding for PyTorch. BSD-3 - [GitHub](https://github.com/pytorch/captum) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 500 Β· πŸ“¦ 2.7K Β· πŸ“‹ 590 - 42% open Β· ⏱️ 31.12.2024): @@ -5807,7 +5829,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/pytorch/captum ``` -- [PyPi](https://pypi.org/project/captum) (πŸ“₯ 290K / month Β· πŸ“¦ 130 Β· ⏱️ 05.12.2023): +- [PyPi](https://pypi.org/project/captum) (πŸ“₯ 270K / month Β· πŸ“¦ 130 Β· ⏱️ 05.12.2023): ``` pip install captum ``` @@ -5816,18 +5838,6 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin conda install -c conda-forge captum ```
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shapash (πŸ₯ˆ31 Β· ⭐ 2.8K) - Shapash: User-friendly Explainability and Interpretability to.. Apache-2 - -- [GitHub](https://github.com/MAIF/shapash) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 340 Β· πŸ“¦ 180 Β· πŸ“‹ 220 - 17% open Β· ⏱️ 09.12.2024): - - ``` - git clone https://github.com/MAIF/shapash - ``` -- [PyPi](https://pypi.org/project/shapash) (πŸ“₯ 8.6K / month Β· πŸ“¦ 4 Β· ⏱️ 09.12.2024): - ``` - pip install shapash - ``` -
evaluate (πŸ₯ˆ31 Β· ⭐ 2.1K) - Evaluate: A library for easily evaluating machine learning models.. Apache-2 - [GitHub](https://github.com/huggingface/evaluate) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 260 Β· πŸ“¦ 16K Β· πŸ“‹ 360 - 60% open Β· ⏱️ 17.09.2024): @@ -5835,7 +5845,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/huggingface/evaluate ``` -- [PyPi](https://pypi.org/project/evaluate) (πŸ“₯ 2.2M / month Β· πŸ“¦ 400 Β· ⏱️ 11.09.2024): +- [PyPi](https://pypi.org/project/evaluate) (πŸ“₯ 2.1M / month Β· πŸ“¦ 400 Β· ⏱️ 11.09.2024): ``` pip install evaluate ``` @@ -5847,11 +5857,11 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/fairlearn/fairlearn ``` -- [PyPi](https://pypi.org/project/fairlearn) (πŸ“₯ 490K / month Β· πŸ“¦ 63 Β· ⏱️ 11.12.2024): +- [PyPi](https://pypi.org/project/fairlearn) (πŸ“₯ 480K / month Β· πŸ“¦ 63 Β· ⏱️ 11.12.2024): ``` pip install fairlearn ``` -- [Conda](https://anaconda.org/conda-forge/fairlearn) (πŸ“₯ 39K Β· ⏱️ 02.01.2025): +- [Conda](https://anaconda.org/conda-forge/fairlearn) (πŸ“₯ 40K Β· ⏱️ 02.01.2025): ``` conda install -c conda-forge fairlearn ``` @@ -5863,7 +5873,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/oegedijk/explainerdashboard ``` -- [PyPi](https://pypi.org/project/explainerdashboard) (πŸ“₯ 55K / month Β· πŸ“¦ 13 Β· ⏱️ 29.12.2024): +- [PyPi](https://pypi.org/project/explainerdashboard) (πŸ“₯ 52K / month Β· πŸ“¦ 13 Β· ⏱️ 29.12.2024): ``` pip install explainerdashboard ``` @@ -5879,7 +5889,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/py-why/dowhy ``` -- [PyPi](https://pypi.org/project/dowhy) (πŸ“₯ 46K / month Β· πŸ“¦ 18 Β· ⏱️ 24.11.2024): +- [PyPi](https://pypi.org/project/dowhy) (πŸ“₯ 43K / month Β· πŸ“¦ 18 Β· ⏱️ 24.11.2024): ``` pip install dowhy ``` @@ -5888,20 +5898,16 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin conda install -c conda-forge dowhy ```
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LIT (πŸ₯ˆ29 Β· ⭐ 3.5K) - The Learning Interpretability Tool: Interactively analyze ML models to.. Apache-2 +
shapash (πŸ₯ˆ29 Β· ⭐ 2.8K Β· πŸ“‰) - Shapash: User-friendly Explainability and Interpretability.. Apache-2 -- [GitHub](https://github.com/PAIR-code/lit) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 360 Β· πŸ“¦ 42 Β· πŸ“‹ 210 - 57% open Β· ⏱️ 20.12.2024): +- [GitHub](https://github.com/MAIF/shapash) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 340 Β· πŸ“¦ 190 Β· πŸ“‹ 220 - 17% open Β· ⏱️ 09.01.2025): ``` - git clone https://github.com/PAIR-code/lit - ``` -- [PyPi](https://pypi.org/project/lit-nlp) (πŸ“₯ 4.2K / month Β· πŸ“¦ 3 Β· ⏱️ 20.12.2024): - ``` - pip install lit-nlp + git clone https://github.com/MAIF/shapash ``` -- [Conda](https://anaconda.org/conda-forge/lit-nlp) (πŸ“₯ 100K Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/shapash) (πŸ“₯ 7.4K / month Β· πŸ“¦ 4 Β· ⏱️ 09.12.2024): ``` - conda install -c conda-forge lit-nlp + pip install shapash ```
pyLDAvis (πŸ₯ˆ29 Β· ⭐ 1.8K Β· πŸ’€) - Python library for interactive topic model visualization... BSD-3 @@ -5922,16 +5928,32 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
Model Analysis (πŸ₯ˆ29 Β· ⭐ 1.3K) - Model analysis tools for TensorFlow. Apache-2 -- [GitHub](https://github.com/tensorflow/model-analysis) (πŸ‘¨β€πŸ’» 59 Β· πŸ”€ 280 Β· πŸ“‹ 93 - 40% open Β· ⏱️ 27.11.2024): +- [GitHub](https://github.com/tensorflow/model-analysis) (πŸ‘¨β€πŸ’» 59 Β· πŸ”€ 280 Β· πŸ“‹ 97 - 39% open Β· ⏱️ 08.01.2025): ``` git clone https://github.com/tensorflow/model-analysis ``` -- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (πŸ“₯ 120K / month Β· πŸ“¦ 19 Β· ⏱️ 05.12.2024): +- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (πŸ“₯ 81K / month Β· πŸ“¦ 19 Β· ⏱️ 05.12.2024): ``` pip install tensorflow-model-analysis ```
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LIT (πŸ₯ˆ28 Β· ⭐ 3.5K) - The Learning Interpretability Tool: Interactively analyze ML models to.. Apache-2 + +- [GitHub](https://github.com/PAIR-code/lit) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 360 Β· πŸ“¦ 42 Β· πŸ“‹ 210 - 57% open Β· ⏱️ 20.12.2024): + + ``` + git clone https://github.com/PAIR-code/lit + ``` +- [PyPi](https://pypi.org/project/lit-nlp) (πŸ“₯ 3.7K / month Β· πŸ“¦ 3 Β· ⏱️ 20.12.2024): + ``` + pip install lit-nlp + ``` +- [Conda](https://anaconda.org/conda-forge/lit-nlp) (πŸ“₯ 100K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge lit-nlp + ``` +
dtreeviz (πŸ₯ˆ28 Β· ⭐ 3K) - A python library for decision tree visualization and model interpretation. MIT - [GitHub](https://github.com/parrt/dtreeviz) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 340 Β· πŸ“¦ 1.4K Β· πŸ“‹ 210 - 34% open Β· ⏱️ 29.08.2024): @@ -5939,7 +5961,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/parrt/dtreeviz ``` -- [PyPi](https://pypi.org/project/dtreeviz) (πŸ“₯ 100K / month Β· πŸ“¦ 53 Β· ⏱️ 07.07.2022): +- [PyPi](https://pypi.org/project/dtreeviz) (πŸ“₯ 97K / month Β· πŸ“¦ 53 Β· ⏱️ 07.07.2022): ``` pip install dtreeviz ``` @@ -5950,64 +5972,64 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
imodels (πŸ₯ˆ27 Β· ⭐ 1.4K) - Interpretable ML package for concise, transparent, and accurate.. MIT -- [GitHub](https://github.com/csinva/imodels) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 120 Β· πŸ“¦ 110 Β· πŸ“‹ 94 - 39% open Β· ⏱️ 06.11.2024): +- [GitHub](https://github.com/csinva/imodels) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 120 Β· πŸ“¦ 110 Β· πŸ“‹ 95 - 38% open Β· ⏱️ 08.01.2025): ``` git clone https://github.com/csinva/imodels ``` -- [PyPi](https://pypi.org/project/imodels) (πŸ“₯ 26K / month Β· πŸ“¦ 9 Β· ⏱️ 15.10.2024): +- [PyPi](https://pypi.org/project/imodels) (πŸ“₯ 25K / month Β· πŸ“¦ 9 Β· ⏱️ 15.10.2024): ``` pip install imodels ```
Fairness 360 (πŸ₯ˆ26 Β· ⭐ 2.5K) - A comprehensive set of fairness metrics for datasets and.. Apache-2 -- [GitHub](https://github.com/Trusted-AI/AIF360) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 840 Β· πŸ“¦ 540 Β· πŸ“‹ 300 - 66% open Β· ⏱️ 10.12.2024): +- [GitHub](https://github.com/Trusted-AI/AIF360) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 840 Β· πŸ“¦ 550 Β· πŸ“‹ 300 - 66% open Β· ⏱️ 10.12.2024): ``` git clone https://github.com/Trusted-AI/AIF360 ``` -- [PyPi](https://pypi.org/project/aif360) (πŸ“₯ 19K / month Β· πŸ“¦ 32 Β· ⏱️ 08.04.2024): +- [PyPi](https://pypi.org/project/aif360) (πŸ“₯ 14K / month Β· πŸ“¦ 32 Β· ⏱️ 08.04.2024): ``` pip install aif360 ``` -- [Conda](https://anaconda.org/conda-forge/aif360) (πŸ“₯ 17K Β· ⏱️ 09.04.2024): +- [Conda](https://anaconda.org/conda-forge/aif360) (πŸ“₯ 18K Β· ⏱️ 05.01.2025): ``` conda install -c conda-forge aif360 ```
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responsible-ai-widgets (πŸ₯‰25 Β· ⭐ 1.4K) - Responsible AI Toolbox is a suite of tools providing.. MIT +
CausalNex (πŸ₯‰24 Β· ⭐ 2.3K Β· πŸ’€) - A Python library that helps data scientists to infer.. Apache-2 -- [GitHub](https://github.com/microsoft/responsible-ai-toolbox) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 370 Β· πŸ“‹ 320 - 26% open Β· ⏱️ 07.08.2024): +- [GitHub](https://github.com/mckinsey/causalnex) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 260 Β· πŸ“¦ 140 Β· πŸ“‹ 140 - 17% open Β· ⏱️ 10.02.2024): ``` - git clone https://github.com/microsoft/responsible-ai-toolbox + git clone https://github.com/quantumblacklabs/causalnex ``` -- [PyPi](https://pypi.org/project/raiwidgets) (πŸ“₯ 7.4K / month Β· πŸ“¦ 6 Β· ⏱️ 08.07.2024): +- [PyPi](https://pypi.org/project/causalnex) (πŸ“₯ 3K / month Β· πŸ“¦ 4 Β· ⏱️ 22.06.2023): ``` - pip install raiwidgets + pip install causalnex ```
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CausalNex (πŸ₯‰24 Β· ⭐ 2.3K Β· πŸ’€) - A Python library that helps data scientists to infer.. Apache-2 +
responsible-ai-widgets (πŸ₯‰24 Β· ⭐ 1.4K) - Responsible AI Toolbox is a suite of tools providing.. MIT -- [GitHub](https://github.com/mckinsey/causalnex) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 260 Β· πŸ“¦ 140 Β· πŸ“‹ 140 - 17% open Β· ⏱️ 10.02.2024): +- [GitHub](https://github.com/microsoft/responsible-ai-toolbox) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 370 Β· πŸ“‹ 320 - 26% open Β· ⏱️ 07.01.2025): ``` - git clone https://github.com/quantumblacklabs/causalnex + git clone https://github.com/microsoft/responsible-ai-toolbox ``` -- [PyPi](https://pypi.org/project/causalnex) (πŸ“₯ 2.9K / month Β· πŸ“¦ 4 Β· ⏱️ 22.06.2023): +- [PyPi](https://pypi.org/project/raiwidgets) (πŸ“₯ 7.3K / month Β· πŸ“¦ 6 Β· ⏱️ 08.07.2024): ``` - pip install causalnex + pip install raiwidgets ```
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Explainability 360 (πŸ₯‰23 Β· ⭐ 1.6K) - Interpretability and explainability of data and.. Apache-2 +
Explainability 360 (πŸ₯‰23 Β· ⭐ 1.7K) - Interpretability and explainability of data and.. Apache-2 - [GitHub](https://github.com/Trusted-AI/AIX360) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 300 Β· πŸ“¦ 110 Β· πŸ“‹ 85 - 63% open Β· ⏱️ 16.07.2024): ``` git clone https://github.com/Trusted-AI/AIX360 ``` -- [PyPi](https://pypi.org/project/aix360) (πŸ“₯ 810 / month Β· πŸ“¦ 1 Β· ⏱️ 31.07.2023): +- [PyPi](https://pypi.org/project/aix360) (πŸ“₯ 750 / month Β· πŸ“¦ 1 Β· ⏱️ 31.07.2023): ``` pip install aix360 ``` @@ -6031,7 +6053,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/PAIR-code/what-if-tool ``` -- [PyPi](https://pypi.org/project/witwidget) (πŸ“₯ 6.2K / month Β· πŸ“¦ 6 Β· ⏱️ 12.10.2021): +- [PyPi](https://pypi.org/project/witwidget) (πŸ“₯ 6.4K / month Β· πŸ“¦ 6 Β· ⏱️ 12.10.2021): ``` pip install witwidget ``` @@ -6039,7 +6061,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` conda install -c conda-forge tensorboard-plugin-wit ``` -- [npm](https://www.npmjs.com/package/wit-widget) (πŸ“₯ 330 / month Β· πŸ“¦ 3 Β· ⏱️ 12.10.2021): +- [npm](https://www.npmjs.com/package/wit-widget) (πŸ“₯ 280 / month Β· πŸ“¦ 3 Β· ⏱️ 12.10.2021): ``` npm install wit-widget ``` @@ -6063,7 +6085,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/jalammar/ecco ``` -- [PyPi](https://pypi.org/project/ecco) (πŸ“₯ 780 / month Β· πŸ“¦ 1 Β· ⏱️ 09.01.2022): +- [PyPi](https://pypi.org/project/ecco) (πŸ“₯ 900 / month Β· πŸ“¦ 1 Β· ⏱️ 09.01.2022): ``` pip install ecco ``` @@ -6086,24 +6108,24 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
fairness-indicators (πŸ₯‰19 Β· ⭐ 340) - Tensorflows Fairness Evaluation and Visualization.. Apache-2 -- [GitHub](https://github.com/tensorflow/fairness-indicators) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 79 Β· πŸ“‹ 36 - 72% open Β· ⏱️ 18.12.2024): +- [GitHub](https://github.com/tensorflow/fairness-indicators) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 79 Β· πŸ“‹ 36 - 72% open Β· ⏱️ 09.01.2025): ``` git clone https://github.com/tensorflow/fairness-indicators ``` -- [PyPi](https://pypi.org/project/fairness-indicators) (πŸ“₯ 1.9K / month Β· ⏱️ 26.04.2024): +- [PyPi](https://pypi.org/project/fairness-indicators) (πŸ“₯ 1.8K / month Β· ⏱️ 26.04.2024): ``` pip install fairness-indicators ```
LOFO (πŸ₯‰18 Β· ⭐ 820 Β· πŸ’€) - Leave One Feature Out Importance. MIT -- [GitHub](https://github.com/aerdem4/lofo-importance) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 85 Β· πŸ“¦ 35 Β· πŸ“‹ 28 - 10% open Β· ⏱️ 16.01.2024): +- [GitHub](https://github.com/aerdem4/lofo-importance) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 86 Β· πŸ“¦ 37 Β· πŸ“‹ 28 - 10% open Β· ⏱️ 16.01.2024): ``` git clone https://github.com/aerdem4/lofo-importance ``` -- [PyPi](https://pypi.org/project/lofo-importance) (πŸ“₯ 3.8K / month Β· πŸ“¦ 4 Β· ⏱️ 16.01.2024): +- [PyPi](https://pypi.org/project/lofo-importance) (πŸ“₯ 3.6K / month Β· πŸ“¦ 4 Β· ⏱️ 16.01.2024): ``` pip install lofo-importance ``` @@ -6115,7 +6137,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/explainX/explainx ``` -- [PyPi](https://pypi.org/project/explainx) (πŸ“₯ 920 / month Β· ⏱️ 04.02.2021): +- [PyPi](https://pypi.org/project/explainx) (πŸ“₯ 930 / month Β· ⏱️ 04.02.2021): ``` pip install explainx ``` @@ -6147,15 +6169,15 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin - checklist (πŸ₯‰24 Β· ⭐ 2K Β· πŸ’€) - Beyond Accuracy: Behavioral Testing of NLP models with CheckList. MIT - keract (πŸ₯‰23 Β· ⭐ 1.1K Β· πŸ’€) - Layers Outputs and Gradients in Keras. Made easy. MIT - tf-explain (πŸ₯‰22 Β· ⭐ 1K Β· πŸ’€) - Interpretability Methods for tf.keras models with Tensorflow.. MIT -- Quantus (πŸ₯‰22 Β· ⭐ 570) - Quantus is an eXplainable AI toolkit for responsible evaluation of.. ❗️GPL-3.0 - deeplift (πŸ₯‰21 Β· ⭐ 840 Β· πŸ’€) - Public facing deeplift repo. MIT -- TreeInterpreter (πŸ₯‰21 Β· ⭐ 740 Β· πŸ’€) - Package for interpreting scikit-learns decision tree.. BSD-3 +- TreeInterpreter (πŸ₯‰21 Β· ⭐ 750 Β· πŸ’€) - Package for interpreting scikit-learns decision tree.. BSD-3 +- Quantus (πŸ₯‰21 Β· ⭐ 570) - Quantus is an eXplainable AI toolkit for responsible evaluation of.. ❗️GPL-3.0 - tcav (πŸ₯‰20 Β· ⭐ 630 Β· πŸ’€) - Code for the TCAV ML interpretability project. Apache-2 - XAI (πŸ₯‰19 Β· ⭐ 1.1K Β· πŸ’€) - XAI - An eXplainability toolbox for machine learning. MIT - sklearn-evaluation (πŸ₯‰18 Β· ⭐ 460 Β· πŸ’€) - Machine learning model evaluation made easy: plots,.. MIT - model-card-toolkit (πŸ₯‰18 Β· ⭐ 430 Β· πŸ’€) - A toolkit that streamlines and automates the.. Apache-2 -- Anchor (πŸ₯‰16 Β· ⭐ 800 Β· πŸ’€) - Code for High-Precision Model-Agnostic Explanations paper. BSD-2 - FlashTorch (πŸ₯‰16 Β· ⭐ 740 Β· πŸ’€) - Visualization toolkit for neural networks in PyTorch! Demo --. MIT +- Anchor (πŸ₯‰15 Β· ⭐ 800 Β· πŸ’€) - Code for High-Precision Model-Agnostic Explanations paper. BSD-2 - Skater (πŸ₯‰14 Β· ⭐ 1.1K Β· πŸ’€) - Python Library for Model Interpretation/Explanations. ❗️UPL-1.0 - Attribution Priors (πŸ₯‰13 Β· ⭐ 120 Β· πŸ’€) - Tools for training explainable models using.. MIT - bias-detector (πŸ₯‰13 Β· ⭐ 43 Β· πŸ’€) - Bias Detector is a python package for detecting bias in machine.. MIT @@ -6171,30 +6193,30 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit πŸ”— ANN Benchmarks ( ⭐ 5K) - Benchmarks of approximate nearest neighbor libraries in Python. -
Milvus (πŸ₯‡42 Β· ⭐ 32K) - Milvus is a high-performance, cloud-native vector database designed to.. Apache-2 +
Milvus (πŸ₯‡42 Β· ⭐ 32K) - Milvus is a high-performance, cloud-native vector database built for.. Apache-2 -- [GitHub](https://github.com/milvus-io/milvus) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 3K Β· πŸ“₯ 290K Β· πŸ“‹ 13K - 6% open Β· ⏱️ 02.01.2025): +- [GitHub](https://github.com/milvus-io/milvus) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 3K Β· πŸ“₯ 300K Β· πŸ“‹ 13K - 6% open Β· ⏱️ 09.01.2025): ``` git clone https://github.com/milvus-io/milvus ``` -- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 1.2M / month Β· πŸ“¦ 200 Β· ⏱️ 02.01.2025): +- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 1.1M / month Β· πŸ“¦ 200 Β· ⏱️ 02.01.2025): ``` pip install pymilvus ``` -- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (πŸ“₯ 67M Β· ⭐ 66 Β· ⏱️ 02.01.2025): +- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (πŸ“₯ 67M Β· ⭐ 66 Β· ⏱️ 09.01.2025): ``` docker pull milvusdb/milvus ```
Faiss (πŸ₯‡41 Β· ⭐ 32K) - A library for efficient similarity search and clustering of dense vectors. MIT -- [GitHub](https://github.com/facebookresearch/faiss) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 3.6K Β· πŸ“¦ 4.3K Β· πŸ“‹ 2.6K - 9% open Β· ⏱️ 27.12.2024): +- [GitHub](https://github.com/facebookresearch/faiss) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 3.6K Β· πŸ“¦ 4.3K Β· πŸ“‹ 2.6K - 9% open Β· ⏱️ 07.01.2025): ``` git clone https://github.com/facebookresearch/faiss ``` -- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 1.2M / month Β· πŸ“¦ 200 Β· ⏱️ 02.01.2025): +- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 1.1M / month Β· πŸ“¦ 200 Β· ⏱️ 02.01.2025): ``` pip install pymilvus ``` @@ -6205,12 +6227,12 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
Annoy (πŸ₯ˆ34 Β· ⭐ 13K) - Approximate Nearest Neighbors in C++/Python optimized for memory usage.. Apache-2 -- [GitHub](https://github.com/spotify/annoy) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 1.2K Β· πŸ“¦ 4.6K Β· πŸ“‹ 400 - 14% open Β· ⏱️ 29.07.2024): +- [GitHub](https://github.com/spotify/annoy) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 1.2K Β· πŸ“¦ 4.6K Β· πŸ“‹ 410 - 15% open Β· ⏱️ 29.07.2024): ``` git clone https://github.com/spotify/annoy ``` -- [PyPi](https://pypi.org/project/annoy) (πŸ“₯ 860K / month Β· πŸ“¦ 200 Β· ⏱️ 14.06.2023): +- [PyPi](https://pypi.org/project/annoy) (πŸ“₯ 880K / month Β· πŸ“¦ 200 Β· ⏱️ 14.06.2023): ``` pip install annoy ``` @@ -6221,12 +6243,12 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
hnswlib (πŸ₯ˆ32 Β· ⭐ 4.5K Β· πŸ’€) - Header-only C++/python library for fast approximate nearest.. Apache-2 -- [GitHub](https://github.com/nmslib/hnswlib) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 660 Β· πŸ“¦ 7.4K Β· πŸ“‹ 410 - 59% open Β· ⏱️ 17.06.2024): +- [GitHub](https://github.com/nmslib/hnswlib) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 670 Β· πŸ“¦ 7.4K Β· πŸ“‹ 410 - 59% open Β· ⏱️ 17.06.2024): ``` git clone https://github.com/nmslib/hnswlib ``` -- [PyPi](https://pypi.org/project/hnswlib) (πŸ“₯ 610K / month Β· πŸ“¦ 130 Β· ⏱️ 03.12.2023): +- [PyPi](https://pypi.org/project/hnswlib) (πŸ“₯ 570K / month Β· πŸ“¦ 130 Β· ⏱️ 03.12.2023): ``` pip install hnswlib ``` @@ -6235,18 +6257,18 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit conda install -c conda-forge hnswlib ```
-
USearch (πŸ₯ˆ32 Β· ⭐ 2.4K Β· πŸ“ˆ) - Fast Open-Source Search & Clustering engine for Vectors &.. Apache-2 +
USearch (πŸ₯ˆ32 Β· ⭐ 2.4K) - Fast Open-Source Search & Clustering engine for Vectors & Strings in.. Apache-2 -- [GitHub](https://github.com/unum-cloud/usearch) (πŸ‘¨β€πŸ’» 59 Β· πŸ”€ 150 Β· πŸ“₯ 41K Β· πŸ“¦ 150 Β· πŸ“‹ 180 - 36% open Β· ⏱️ 29.12.2024): +- [GitHub](https://github.com/unum-cloud/usearch) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 150 Β· πŸ“₯ 43K Β· πŸ“¦ 150 Β· πŸ“‹ 180 - 36% open Β· ⏱️ 09.01.2025): ``` git clone https://github.com/unum-cloud/usearch ``` -- [PyPi](https://pypi.org/project/usearch) (πŸ“₯ 240K / month Β· πŸ“¦ 27 Β· ⏱️ 29.12.2024): +- [PyPi](https://pypi.org/project/usearch) (πŸ“₯ 230K / month Β· πŸ“¦ 27 Β· ⏱️ 29.12.2024): ``` pip install usearch ``` -- [npm](https://www.npmjs.com/package/usearch) (πŸ“₯ 7K / month Β· πŸ“¦ 15 Β· ⏱️ 29.12.2024): +- [npm](https://www.npmjs.com/package/usearch) (πŸ“₯ 6.5K / month Β· πŸ“¦ 15 Β· ⏱️ 29.12.2024): ``` npm install usearch ``` @@ -6262,7 +6284,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit ``` git clone https://github.com/nmslib/nmslib ``` -- [PyPi](https://pypi.org/project/nmslib) (πŸ“₯ 430K / month Β· πŸ“¦ 63 Β· ⏱️ 03.02.2021): +- [PyPi](https://pypi.org/project/nmslib) (πŸ“₯ 420K / month Β· πŸ“¦ 63 Β· ⏱️ 03.02.2021): ``` pip install nmslib ``` @@ -6273,16 +6295,16 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
PyNNDescent (πŸ₯‰27 Β· ⭐ 910) - A Python nearest neighbor descent for approximate nearest neighbors. BSD-2 -- [GitHub](https://github.com/lmcinnes/pynndescent) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 110 Β· πŸ“¦ 8.9K Β· πŸ“‹ 140 - 52% open Β· ⏱️ 10.11.2024): +- [GitHub](https://github.com/lmcinnes/pynndescent) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 110 Β· πŸ“¦ 9K Β· πŸ“‹ 140 - 52% open Β· ⏱️ 10.11.2024): ``` git clone https://github.com/lmcinnes/pynndescent ``` -- [PyPi](https://pypi.org/project/pynndescent) (πŸ“₯ 1.5M / month Β· πŸ“¦ 160 Β· ⏱️ 17.06.2024): +- [PyPi](https://pypi.org/project/pynndescent) (πŸ“₯ 1.3M / month Β· πŸ“¦ 160 Β· ⏱️ 17.06.2024): ``` pip install pynndescent ``` -- [Conda](https://anaconda.org/conda-forge/pynndescent) (πŸ“₯ 2.1M Β· ⏱️ 14.12.2024): +- [Conda](https://anaconda.org/conda-forge/pynndescent) (πŸ“₯ 2.2M Β· ⏱️ 14.12.2024): ``` conda install -c conda-forge pynndescent ``` @@ -6294,7 +6316,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit ``` git clone https://github.com/yahoojapan/NGT ``` -- [PyPi](https://pypi.org/project/ngt) (πŸ“₯ 3K / month Β· πŸ“¦ 8 Β· ⏱️ 06.12.2023): +- [PyPi](https://pypi.org/project/ngt) (πŸ“₯ 2.6K / month Β· πŸ“¦ 8 Β· ⏱️ 06.12.2023): ``` pip install ngt ``` @@ -6316,12 +6338,12 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
PyMC3 (πŸ₯‡41 Β· ⭐ 8.8K) - Bayesian Modeling and Probabilistic Programming in Python. Apache-2 -- [GitHub](https://github.com/pymc-devs/pymc) (πŸ‘¨β€πŸ’» 510 Β· πŸ”€ 2K Β· πŸ“₯ 2K Β· πŸ“¦ 5.1K Β· πŸ“‹ 3.4K - 9% open Β· ⏱️ 26.12.2024): +- [GitHub](https://github.com/pymc-devs/pymc) (πŸ‘¨β€πŸ’» 510 Β· πŸ”€ 2K Β· πŸ“₯ 2K Β· πŸ“¦ 5.2K Β· πŸ“‹ 3.4K - 9% open Β· ⏱️ 07.01.2025): ``` git clone https://github.com/pymc-devs/pymc ``` -- [PyPi](https://pypi.org/project/pymc3) (πŸ“₯ 260K / month Β· πŸ“¦ 190 Β· ⏱️ 31.05.2024): +- [PyPi](https://pypi.org/project/pymc3) (πŸ“₯ 240K / month Β· πŸ“¦ 190 Β· ⏱️ 31.05.2024): ``` pip install pymc3 ``` @@ -6332,12 +6354,12 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
tensorflow-probability (πŸ₯‡37 Β· ⭐ 4.3K) - Probabilistic reasoning and statistical analysis in.. Apache-2 -- [GitHub](https://github.com/tensorflow/probability) (πŸ‘¨β€πŸ’» 500 Β· πŸ”€ 1.1K Β· πŸ“¦ 2 Β· πŸ“‹ 1.5K - 48% open Β· ⏱️ 09.12.2024): +- [GitHub](https://github.com/tensorflow/probability) (πŸ‘¨β€πŸ’» 500 Β· πŸ”€ 1.1K Β· πŸ“¦ 3 Β· πŸ“‹ 1.5K - 48% open Β· ⏱️ 07.01.2025): ``` git clone https://github.com/tensorflow/probability ``` -- [PyPi](https://pypi.org/project/tensorflow-probability) (πŸ“₯ 1.2M / month Β· πŸ“¦ 620 Β· ⏱️ 08.11.2024): +- [PyPi](https://pypi.org/project/tensorflow-probability) (πŸ“₯ 1.1M / month Β· πŸ“¦ 620 Β· ⏱️ 08.11.2024): ``` pip install tensorflow-probability ``` @@ -6348,7 +6370,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
patsy (πŸ₯‡34 Β· ⭐ 960) - Describing statistical models in Python using symbolic formulas. BSD-2 -- [GitHub](https://github.com/pydata/patsy) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 100 Β· πŸ“¦ 110K Β· πŸ“‹ 160 - 46% open Β· ⏱️ 23.12.2024): +- [GitHub](https://github.com/pydata/patsy) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 100 Β· πŸ“¦ 110K Β· πŸ“‹ 160 - 46% open Β· ⏱️ 06.01.2025): ``` git clone https://github.com/pydata/patsy @@ -6357,7 +6379,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` pip install patsy ``` -- [Conda](https://anaconda.org/conda-forge/patsy) (πŸ“₯ 13M Β· ⏱️ 10.12.2024): +- [Conda](https://anaconda.org/conda-forge/patsy) (πŸ“₯ 14M Β· ⏱️ 10.12.2024): ``` conda install -c conda-forge patsy ``` @@ -6369,7 +6391,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/pgmpy/pgmpy ``` -- [PyPi](https://pypi.org/project/pgmpy) (πŸ“₯ 79K / month Β· πŸ“¦ 53 Β· ⏱️ 09.08.2024): +- [PyPi](https://pypi.org/project/pgmpy) (πŸ“₯ 68K / month Β· πŸ“¦ 53 Β· ⏱️ 09.08.2024): ``` pip install pgmpy ``` @@ -6381,7 +6403,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/pyro-ppl/pyro ``` -- [PyPi](https://pypi.org/project/pyro-ppl) (πŸ“₯ 270K / month Β· πŸ“¦ 190 Β· ⏱️ 02.06.2024): +- [PyPi](https://pypi.org/project/pyro-ppl) (πŸ“₯ 300K / month Β· πŸ“¦ 190 Β· ⏱️ 02.06.2024): ``` pip install pyro-ppl ``` @@ -6392,7 +6414,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
GPyTorch (πŸ₯ˆ31 Β· ⭐ 3.6K) - A highly efficient implementation of Gaussian Processes in PyTorch. MIT -- [GitHub](https://github.com/cornellius-gp/gpytorch) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 560 Β· πŸ“¦ 2.5K Β· πŸ“‹ 1.4K - 27% open Β· ⏱️ 12.12.2024): +- [GitHub](https://github.com/cornellius-gp/gpytorch) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 560 Β· πŸ“¦ 2.6K Β· πŸ“‹ 1.4K - 27% open Β· ⏱️ 12.12.2024): ``` git clone https://github.com/cornellius-gp/gpytorch @@ -6408,7 +6430,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
pandas-ta (πŸ₯ˆ30 Β· ⭐ 5.6K Β· πŸ’€) - Technical Analysis Indicators - Pandas TA is an easy to use.. MIT -- [GitHub](https://github.com/twopirllc/pandas-ta) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 1.1K Β· πŸ“¦ 4.5K Β· πŸ“‹ 610 - 17% open Β· ⏱️ 24.06.2024): +- [GitHub](https://github.com/twopirllc/pandas-ta) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 1.1K Β· πŸ“¦ 4.6K Β· πŸ“‹ 610 - 17% open Β· ⏱️ 24.06.2024): ``` git clone https://github.com/twopirllc/pandas-ta @@ -6422,46 +6444,46 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes conda install -c conda-forge pandas-ta ```
-
hmmlearn (πŸ₯ˆ30 Β· ⭐ 3.1K) - Hidden Markov Models in Python, with scikit-learn like API. BSD-3 +
GPflow (πŸ₯ˆ30 Β· ⭐ 1.9K) - Gaussian processes in TensorFlow. Apache-2 -- [GitHub](https://github.com/hmmlearn/hmmlearn) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 740 Β· πŸ“¦ 3K Β· πŸ“‹ 450 - 15% open Β· ⏱️ 31.10.2024): +- [GitHub](https://github.com/GPflow/GPflow) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 440 Β· πŸ“¦ 710 Β· πŸ“‹ 840 - 18% open Β· ⏱️ 04.10.2024): ``` - git clone https://github.com/hmmlearn/hmmlearn + git clone https://github.com/GPflow/GPflow ``` -- [PyPi](https://pypi.org/project/hmmlearn) (πŸ“₯ 130K / month Β· πŸ“¦ 92 Β· ⏱️ 31.10.2024): +- [PyPi](https://pypi.org/project/gpflow) (πŸ“₯ 67K / month Β· πŸ“¦ 35 Β· ⏱️ 17.06.2024): ``` - pip install hmmlearn + pip install gpflow ``` -- [Conda](https://anaconda.org/conda-forge/hmmlearn) (πŸ“₯ 320K Β· ⏱️ 31.10.2024): +- [Conda](https://anaconda.org/conda-forge/gpflow) (πŸ“₯ 39K Β· ⏱️ 26.06.2024): ``` - conda install -c conda-forge hmmlearn + conda install -c conda-forge gpflow ```
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GPflow (πŸ₯ˆ30 Β· ⭐ 1.9K) - Gaussian processes in TensorFlow. Apache-2 +
hmmlearn (πŸ₯‰29 Β· ⭐ 3.1K) - Hidden Markov Models in Python, with scikit-learn like API. BSD-3 -- [GitHub](https://github.com/GPflow/GPflow) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 440 Β· πŸ“¦ 710 Β· πŸ“‹ 840 - 18% open Β· ⏱️ 04.10.2024): +- [GitHub](https://github.com/hmmlearn/hmmlearn) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 740 Β· πŸ“¦ 3K Β· πŸ“‹ 450 - 15% open Β· ⏱️ 31.10.2024): ``` - git clone https://github.com/GPflow/GPflow + git clone https://github.com/hmmlearn/hmmlearn ``` -- [PyPi](https://pypi.org/project/gpflow) (πŸ“₯ 69K / month Β· πŸ“¦ 35 Β· ⏱️ 17.06.2024): +- [PyPi](https://pypi.org/project/hmmlearn) (πŸ“₯ 120K / month Β· πŸ“¦ 92 Β· ⏱️ 31.10.2024): ``` - pip install gpflow + pip install hmmlearn ``` -- [Conda](https://anaconda.org/conda-forge/gpflow) (πŸ“₯ 38K Β· ⏱️ 26.06.2024): +- [Conda](https://anaconda.org/conda-forge/hmmlearn) (πŸ“₯ 320K Β· ⏱️ 31.10.2024): ``` - conda install -c conda-forge gpflow + conda install -c conda-forge hmmlearn ```
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emcee (πŸ₯ˆ30 Β· ⭐ 1.5K) - The Python ensemble sampling toolkit for affine-invariant MCMC. MIT +
emcee (πŸ₯‰29 Β· ⭐ 1.5K) - The Python ensemble sampling toolkit for affine-invariant MCMC. MIT - [GitHub](https://github.com/dfm/emcee) (πŸ‘¨β€πŸ’» 74 Β· πŸ”€ 430 Β· πŸ“¦ 2.7K Β· πŸ“‹ 300 - 19% open Β· ⏱️ 07.12.2024): ``` git clone https://github.com/dfm/emcee ``` -- [PyPi](https://pypi.org/project/emcee) (πŸ“₯ 110K / month Β· πŸ“¦ 440 Β· ⏱️ 19.04.2024): +- [PyPi](https://pypi.org/project/emcee) (πŸ“₯ 89K / month Β· πŸ“¦ 440 Β· ⏱️ 19.04.2024): ``` pip install emcee ``` @@ -6470,9 +6492,9 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes conda install -c conda-forge emcee ```
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SALib (πŸ₯ˆ30 Β· ⭐ 890) - Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and.. MIT +
SALib (πŸ₯‰29 Β· ⭐ 900) - Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and.. MIT -- [GitHub](https://github.com/SALib/SALib) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 230 Β· πŸ“¦ 1.4K Β· πŸ“‹ 340 - 15% open Β· ⏱️ 10.10.2024): +- [GitHub](https://github.com/SALib/SALib) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 240 Β· πŸ“¦ 1.4K Β· πŸ“‹ 340 - 15% open Β· ⏱️ 06.01.2025): ``` git clone https://github.com/SALib/SALib @@ -6488,7 +6510,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
bambi (πŸ₯‰28 Β· ⭐ 1.1K) - BAyesian Model-Building Interface (Bambi) in Python. MIT -- [GitHub](https://github.com/bambinos/bambi) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 130 Β· πŸ“¦ 160 Β· πŸ“‹ 420 - 19% open Β· ⏱️ 26.12.2024): +- [GitHub](https://github.com/bambinos/bambi) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 130 Β· πŸ“¦ 170 Β· πŸ“‹ 420 - 19% open Β· ⏱️ 26.12.2024): ``` git clone https://github.com/bambinos/bambi @@ -6509,7 +6531,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/jmschrei/pomegranate ``` -- [PyPi](https://pypi.org/project/pomegranate) (πŸ“₯ 14K / month Β· πŸ“¦ 59 Β· ⏱️ 18.10.2024): +- [PyPi](https://pypi.org/project/pomegranate) (πŸ“₯ 15K / month Β· πŸ“¦ 59 Β· ⏱️ 18.10.2024): ``` pip install pomegranate ``` @@ -6525,7 +6547,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/stan-dev/pystan ``` -- [PyPi](https://pypi.org/project/pystan) (πŸ“₯ 690K / month Β· πŸ“¦ 160 Β· ⏱️ 03.07.2024): +- [PyPi](https://pypi.org/project/pystan) (πŸ“₯ 700K / month Β· πŸ“¦ 160 Β· ⏱️ 03.07.2024): ``` pip install pystan ``` @@ -6541,7 +6563,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/maximtrp/scikit-posthocs ``` -- [PyPi](https://pypi.org/project/scikit-posthocs) (πŸ“₯ 95K / month Β· πŸ“¦ 63 Β· ⏱️ 18.12.2024): +- [PyPi](https://pypi.org/project/scikit-posthocs) (πŸ“₯ 89K / month Β· πŸ“¦ 63 Β· ⏱️ 18.12.2024): ``` pip install scikit-posthocs ``` @@ -6557,31 +6579,31 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/uber/orbit ``` -- [PyPi](https://pypi.org/project/orbit-ml) (πŸ“₯ 10K / month Β· πŸ“¦ 1 Β· ⏱️ 01.04.2024): +- [PyPi](https://pypi.org/project/orbit-ml) (πŸ“₯ 9.3K / month Β· πŸ“¦ 1 Β· ⏱️ 01.04.2024): ``` pip install orbit-ml ```
TorchUncertainty (πŸ₯‰22 Β· ⭐ 330) - Open-source framework for uncertainty and deep.. Apache-2 -- [GitHub](https://github.com/ENSTA-U2IS-AI/torch-uncertainty) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 22 Β· πŸ“‹ 38 - 28% open Β· ⏱️ 19.11.2024): +- [GitHub](https://github.com/ENSTA-U2IS-AI/torch-uncertainty) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 23 Β· πŸ“‹ 40 - 27% open Β· ⏱️ 06.01.2025): ``` git clone https://github.com/ENSTA-U2IS-AI/torch-uncertainty ``` -- [PyPi](https://pypi.org/project/torch-uncertainty) (πŸ“₯ 810 / month Β· πŸ“¦ 3 Β· ⏱️ 18.11.2024): +- [PyPi](https://pypi.org/project/torch-uncertainty) (πŸ“₯ 820 / month Β· πŸ“¦ 3 Β· ⏱️ 06.01.2025): ``` pip install torch-uncertainty ```
Baal (πŸ₯‰21 Β· ⭐ 880 Β· πŸ’€) - Bayesian active learning library for research and industrial usecases. Apache-2 -- [GitHub](https://github.com/baal-org/baal) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 86 Β· πŸ“¦ 63 Β· πŸ“‹ 110 - 17% open Β· ⏱️ 27.06.2024): +- [GitHub](https://github.com/baal-org/baal) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 86 Β· πŸ“¦ 64 Β· πŸ“‹ 110 - 17% open Β· ⏱️ 27.06.2024): ``` git clone https://github.com/baal-org/baal ``` -- [PyPi](https://pypi.org/project/baal) (πŸ“₯ 1.8K / month Β· πŸ“¦ 2 Β· ⏱️ 11.06.2024): +- [PyPi](https://pypi.org/project/baal) (πŸ“₯ 1.7K / month Β· πŸ“¦ 2 Β· ⏱️ 11.06.2024): ``` pip install baal ``` @@ -6614,7 +6636,7 @@ _Libraries for testing the robustness of machine learning models against attacks ``` git clone https://github.com/Trusted-AI/adversarial-robustness-toolbox ``` -- [PyPi](https://pypi.org/project/adversarial-robustness-toolbox) (πŸ“₯ 56K / month Β· πŸ“¦ 20 Β· ⏱️ 20.12.2024): +- [PyPi](https://pypi.org/project/adversarial-robustness-toolbox) (πŸ“₯ 49K / month Β· πŸ“¦ 20 Β· ⏱️ 20.12.2024): ``` pip install adversarial-robustness-toolbox ``` @@ -6625,12 +6647,12 @@ _Libraries for testing the robustness of machine learning models against attacks
TextAttack (πŸ₯ˆ27 Β· ⭐ 3K) - TextAttack is a Python framework for adversarial attacks, data.. MIT -- [GitHub](https://github.com/QData/TextAttack) (πŸ‘¨β€πŸ’» 66 Β· πŸ”€ 400 Β· πŸ“¦ 330 Β· πŸ“‹ 280 - 23% open Β· ⏱️ 25.07.2024): +- [GitHub](https://github.com/QData/TextAttack) (πŸ‘¨β€πŸ’» 66 Β· πŸ”€ 400 Β· πŸ“¦ 330 Β· πŸ“‹ 290 - 23% open Β· ⏱️ 25.07.2024): ``` git clone https://github.com/QData/TextAttack ``` -- [PyPi](https://pypi.org/project/textattack) (πŸ“₯ 4.5K / month Β· πŸ“¦ 11 Β· ⏱️ 11.03.2024): +- [PyPi](https://pypi.org/project/textattack) (πŸ“₯ 4.6K / month Β· πŸ“¦ 11 Β· ⏱️ 11.03.2024): ``` pip install textattack ``` @@ -6646,7 +6668,7 @@ _Libraries for testing the robustness of machine learning models against attacks ``` git clone https://github.com/bethgelab/foolbox ``` -- [PyPi](https://pypi.org/project/foolbox) (πŸ“₯ 5.2K / month Β· πŸ“¦ 14 Β· ⏱️ 04.03.2024): +- [PyPi](https://pypi.org/project/foolbox) (πŸ“₯ 4.8K / month Β· πŸ“¦ 14 Β· ⏱️ 04.03.2024): ``` pip install foolbox ``` @@ -6674,12 +6696,12 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
CuPy (πŸ₯‡39 Β· ⭐ 9.7K) - NumPy & SciPy for GPU. MIT -- [GitHub](https://github.com/cupy/cupy) (πŸ‘¨β€πŸ’» 400 Β· πŸ”€ 860 Β· πŸ“₯ 190K Β· πŸ“¦ 2.4K Β· πŸ“‹ 2.4K - 25% open Β· ⏱️ 24.12.2024): +- [GitHub](https://github.com/cupy/cupy) (πŸ‘¨β€πŸ’» 400 Β· πŸ”€ 860 Β· πŸ“₯ 190K Β· πŸ“¦ 2.4K Β· πŸ“‹ 2.4K - 25% open Β· ⏱️ 08.01.2025): ``` git clone https://github.com/cupy/cupy ``` -- [PyPi](https://pypi.org/project/cupy) (πŸ“₯ 31K / month Β· πŸ“¦ 270 Β· ⏱️ 22.08.2024): +- [PyPi](https://pypi.org/project/cupy) (πŸ“₯ 28K / month Β· πŸ“¦ 270 Β· ⏱️ 22.08.2024): ``` pip install cupy ``` @@ -6687,19 +6709,19 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c ``` conda install -c conda-forge cupy ``` -- [Docker Hub](https://hub.docker.com/r/cupy/cupy) (πŸ“₯ 73K Β· ⭐ 13 Β· ⏱️ 22.08.2024): +- [Docker Hub](https://hub.docker.com/r/cupy/cupy) (πŸ“₯ 74K Β· ⭐ 13 Β· ⏱️ 22.08.2024): ``` docker pull cupy/cupy ```
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optimum (πŸ₯‡36 Β· ⭐ 2.6K) - Accelerate inference and training of Transformers, Diffusers, TIMM.. Apache-2 +
optimum (πŸ₯‡36 Β· ⭐ 2.7K) - Accelerate inference and training of Transformers, Diffusers, TIMM.. Apache-2 -- [GitHub](https://github.com/huggingface/optimum) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 480 Β· πŸ“¦ 4.2K Β· πŸ“‹ 880 - 48% open Β· ⏱️ 20.12.2024): +- [GitHub](https://github.com/huggingface/optimum) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 480 Β· πŸ“¦ 4.2K Β· πŸ“‹ 880 - 48% open Β· ⏱️ 09.01.2025): ``` git clone https://github.com/huggingface/optimum ``` -- [PyPi](https://pypi.org/project/optimum) (πŸ“₯ 890K / month Β· πŸ“¦ 180 Β· ⏱️ 29.10.2024): +- [PyPi](https://pypi.org/project/optimum) (πŸ“₯ 860K / month Β· πŸ“¦ 180 Β· ⏱️ 29.10.2024): ``` pip install optimum ``` @@ -6710,12 +6732,12 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
cuDF (πŸ₯ˆ35 Β· ⭐ 8.6K) - cuDF - GPU DataFrame Library. Apache-2 -- [GitHub](https://github.com/rapidsai/cudf) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 910 Β· πŸ“¦ 59 Β· πŸ“‹ 6.7K - 16% open Β· ⏱️ 30.12.2024): +- [GitHub](https://github.com/rapidsai/cudf) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 910 Β· πŸ“¦ 59 Β· πŸ“‹ 6.7K - 15% open Β· ⏱️ 09.01.2025): ``` git clone https://github.com/rapidsai/cudf ``` -- [PyPi](https://pypi.org/project/cudf) (πŸ“₯ 2.9K / month Β· πŸ“¦ 22 Β· ⏱️ 01.06.2020): +- [PyPi](https://pypi.org/project/cudf) (πŸ“₯ 2.8K / month Β· πŸ“¦ 22 Β· ⏱️ 01.06.2020): ``` pip install cudf ``` @@ -6734,92 +6756,92 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
cuML (πŸ₯ˆ31 Β· ⭐ 4.3K) - cuML - RAPIDS Machine Learning Library. Apache-2 -- [GitHub](https://github.com/rapidsai/cuml) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 540 Β· πŸ“‹ 2.5K - 36% open Β· ⏱️ 31.12.2024): +- [GitHub](https://github.com/rapidsai/cuml) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 540 Β· πŸ“‹ 2.6K - 35% open Β· ⏱️ 09.01.2025): ``` git clone https://github.com/rapidsai/cuml ``` -- [PyPi](https://pypi.org/project/cuml) (πŸ“₯ 3.4K / month Β· πŸ“¦ 14 Β· ⏱️ 01.06.2020): +- [PyPi](https://pypi.org/project/cuml) (πŸ“₯ 3.1K / month Β· πŸ“¦ 14 Β· ⏱️ 01.06.2020): ``` pip install cuml ```
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PyCUDA (πŸ₯ˆ31 Β· ⭐ 1.9K) - CUDA integration for Python, plus shiny features. MIT +
gpustat (πŸ₯ˆ30 Β· ⭐ 4.1K Β· πŸ’€) - A simple command-line utility for querying and monitoring GPU status. MIT -- [GitHub](https://github.com/inducer/pycuda) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 290 Β· πŸ“¦ 3.3K Β· πŸ“‹ 280 - 29% open Β· ⏱️ 05.11.2024): +- [GitHub](https://github.com/wookayin/gpustat) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 280 Β· πŸ“¦ 6.5K Β· πŸ“‹ 120 - 22% open Β· ⏱️ 12.01.2024): ``` - git clone https://github.com/inducer/pycuda + git clone https://github.com/wookayin/gpustat ``` -- [PyPi](https://pypi.org/project/pycuda) (πŸ“₯ 73K / month Β· πŸ“¦ 160 Β· ⏱️ 30.07.2024): +- [PyPi](https://pypi.org/project/gpustat) (πŸ“₯ 530K / month Β· πŸ“¦ 150 Β· ⏱️ 22.08.2023): ``` - pip install pycuda + pip install gpustat ``` -- [Conda](https://anaconda.org/conda-forge/pycuda) (πŸ“₯ 690K Β· ⏱️ 17.08.2024): +- [Conda](https://anaconda.org/conda-forge/gpustat) (πŸ“₯ 300K Β· ⏱️ 25.12.2024): ``` - conda install -c conda-forge pycuda + conda install -c conda-forge gpustat ```
-
gpustat (πŸ₯ˆ30 Β· ⭐ 4.1K Β· πŸ’€) - A simple command-line utility for querying and monitoring GPU status. MIT +
PyCUDA (πŸ₯ˆ30 Β· ⭐ 1.9K) - CUDA integration for Python, plus shiny features. MIT -- [GitHub](https://github.com/wookayin/gpustat) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 280 Β· πŸ“¦ 6.5K Β· πŸ“‹ 120 - 22% open Β· ⏱️ 12.01.2024): +- [GitHub](https://github.com/inducer/pycuda) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 290 Β· πŸ“¦ 3.4K Β· πŸ“‹ 280 - 29% open Β· ⏱️ 05.11.2024): ``` - git clone https://github.com/wookayin/gpustat + git clone https://github.com/inducer/pycuda ``` -- [PyPi](https://pypi.org/project/gpustat) (πŸ“₯ 540K / month Β· πŸ“¦ 150 Β· ⏱️ 22.08.2023): +- [PyPi](https://pypi.org/project/pycuda) (πŸ“₯ 71K / month Β· πŸ“¦ 160 Β· ⏱️ 30.07.2024): ``` - pip install gpustat + pip install pycuda ``` -- [Conda](https://anaconda.org/conda-forge/gpustat) (πŸ“₯ 300K Β· ⏱️ 25.12.2024): +- [Conda](https://anaconda.org/conda-forge/pycuda) (πŸ“₯ 690K Β· ⏱️ 17.08.2024): ``` - conda install -c conda-forge gpustat + conda install -c conda-forge pycuda ```
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ArrayFire (πŸ₯ˆ27 Β· ⭐ 4.6K) - ArrayFire: a general purpose GPU library. BSD-3 +
ArrayFire (πŸ₯ˆ28 Β· ⭐ 4.6K) - ArrayFire: a general purpose GPU library. BSD-3 -- [GitHub](https://github.com/arrayfire/arrayfire) (πŸ‘¨β€πŸ’» 95 Β· πŸ”€ 530 Β· πŸ“₯ 7.6K Β· πŸ“‹ 1.7K - 19% open Β· ⏱️ 12.12.2024): +- [GitHub](https://github.com/arrayfire/arrayfire) (πŸ‘¨β€πŸ’» 95 Β· πŸ”€ 530 Β· πŸ“₯ 7.7K Β· πŸ“‹ 1.7K - 19% open Β· ⏱️ 08.01.2025): ``` git clone https://github.com/arrayfire/arrayfire ``` -- [PyPi](https://pypi.org/project/arrayfire) (πŸ“₯ 2.4K / month Β· πŸ“¦ 10 Β· ⏱️ 22.02.2022): +- [PyPi](https://pypi.org/project/arrayfire) (πŸ“₯ 2.1K / month Β· πŸ“¦ 10 Β· ⏱️ 22.02.2022): ``` pip install arrayfire ```
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cuGraph (πŸ₯ˆ27 Β· ⭐ 1.8K) - cuGraph - RAPIDS Graph Analytics Library. Apache-2 +
cuGraph (πŸ₯‰27 Β· ⭐ 1.8K) - cuGraph - RAPIDS Graph Analytics Library. Apache-2 -- [GitHub](https://github.com/rapidsai/cugraph) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 310 Β· πŸ“‹ 1.8K - 10% open Β· ⏱️ 31.12.2024): +- [GitHub](https://github.com/rapidsai/cugraph) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 310 Β· πŸ“‹ 1.8K - 10% open Β· ⏱️ 07.01.2025): ``` git clone https://github.com/rapidsai/cugraph ``` -- [PyPi](https://pypi.org/project/cugraph) (πŸ“₯ 260 / month Β· πŸ“¦ 4 Β· ⏱️ 01.06.2020): +- [PyPi](https://pypi.org/project/cugraph) (πŸ“₯ 280 / month Β· πŸ“¦ 4 Β· ⏱️ 01.06.2020): ``` pip install cugraph ``` -- [Conda](https://anaconda.org/conda-forge/libcugraph) (πŸ“₯ 26K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/libcugraph) (πŸ“₯ 27K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge libcugraph ```
DALI (πŸ₯‰25 Β· ⭐ 5.2K) - A GPU-accelerated library containing highly optimized building blocks.. Apache-2 -- [GitHub](https://github.com/NVIDIA/DALI) (πŸ‘¨β€πŸ’» 94 Β· πŸ”€ 620 Β· πŸ“‹ 1.7K - 14% open Β· ⏱️ 30.12.2024): +- [GitHub](https://github.com/NVIDIA/DALI) (πŸ‘¨β€πŸ’» 94 Β· πŸ”€ 620 Β· πŸ“‹ 1.7K - 14% open Β· ⏱️ 09.01.2025): ``` git clone https://github.com/NVIDIA/DALI ```
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Vulkan Kompute (πŸ₯‰23 Β· ⭐ 2K) - General purpose GPU compute framework built on Vulkan to.. Apache-2 +
Vulkan Kompute (πŸ₯‰22 Β· ⭐ 2.1K) - General purpose GPU compute framework built on Vulkan to.. Apache-2 - [GitHub](https://github.com/KomputeProject/kompute) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 150 Β· πŸ“₯ 610 Β· πŸ“‹ 220 - 32% open Β· ⏱️ 10.12.2024): ``` git clone https://github.com/KomputeProject/kompute ``` -- [PyPi](https://pypi.org/project/kp) (πŸ“₯ 370 / month Β· ⏱️ 20.01.2024): +- [PyPi](https://pypi.org/project/kp) (πŸ“₯ 360 / month Β· ⏱️ 20.01.2024): ``` pip install kp ``` @@ -6831,7 +6853,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c ``` git clone https://github.com/NVIDIA-Merlin/Merlin ``` -- [PyPi](https://pypi.org/project/merlin-core) (πŸ“₯ 7.3K / month Β· πŸ“¦ 1 Β· ⏱️ 29.08.2023): +- [PyPi](https://pypi.org/project/merlin-core) (πŸ“₯ 8.1K / month Β· πŸ“¦ 1 Β· ⏱️ 29.08.2023): ``` pip install merlin-core ``` @@ -6855,35 +6877,35 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c _Libraries that extend TensorFlow with additional capabilities._ -
TensorFlow Datasets (πŸ₯‡38 Β· ⭐ 4.3K) - TFDS is a collection of datasets ready to use with.. Apache-2 +
TensorFlow Datasets (πŸ₯‡39 Β· ⭐ 4.3K Β· πŸ“ˆ) - TFDS is a collection of datasets ready to use with.. Apache-2 -- [GitHub](https://github.com/tensorflow/datasets) (πŸ‘¨β€πŸ’» 390 Β· πŸ”€ 1.6K Β· πŸ“¦ 21K Β· πŸ“‹ 1.5K - 48% open Β· ⏱️ 24.12.2024): +- [GitHub](https://github.com/tensorflow/datasets) (πŸ‘¨β€πŸ’» 400 Β· πŸ”€ 1.6K Β· πŸ“¦ 21K Β· πŸ“‹ 1.5K - 48% open Β· ⏱️ 09.01.2025): ``` git clone https://github.com/tensorflow/datasets ``` -- [PyPi](https://pypi.org/project/tensorflow-datasets) (πŸ“₯ 1.8M / month Β· πŸ“¦ 330 Β· ⏱️ 30.10.2024): +- [PyPi](https://pypi.org/project/tensorflow-datasets) (πŸ“₯ 1.7M / month Β· πŸ“¦ 330 Β· ⏱️ 30.10.2024): ``` pip install tensorflow-datasets ``` -- [Conda](https://anaconda.org/conda-forge/tensorflow-datasets) (πŸ“₯ 41K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/tensorflow-datasets) (πŸ“₯ 42K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge tensorflow-datasets ```
TFX (πŸ₯‡34 Β· ⭐ 2.1K) - TFX is an end-to-end platform for deploying production ML pipelines. Apache-2 -- [GitHub](https://github.com/tensorflow/tfx) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 710 Β· πŸ“¦ 1.6K Β· πŸ“‹ 1.1K - 22% open Β· ⏱️ 12.12.2024): +- [GitHub](https://github.com/tensorflow/tfx) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 710 Β· πŸ“¦ 1.7K Β· πŸ“‹ 1.1K - 22% open Β· ⏱️ 12.12.2024): ``` git clone https://github.com/tensorflow/tfx ``` -- [PyPi](https://pypi.org/project/tfx) (πŸ“₯ 28K / month Β· πŸ“¦ 17 Β· ⏱️ 11.12.2024): +- [PyPi](https://pypi.org/project/tfx) (πŸ“₯ 27K / month Β· πŸ“¦ 17 Β· ⏱️ 11.12.2024): ``` pip install tfx ```
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tensorflow-hub (πŸ₯ˆ31 Β· ⭐ 3.5K) - A library for transfer learning by reusing parts of.. Apache-2 +
tensorflow-hub (πŸ₯ˆ32 Β· ⭐ 3.5K) - A library for transfer learning by reusing parts of.. Apache-2 - [GitHub](https://github.com/tensorflow/hub) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 1.7K Β· πŸ“‹ 710 - 1% open Β· ⏱️ 09.10.2024): @@ -6906,7 +6928,7 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/addons ``` -- [PyPi](https://pypi.org/project/tensorflow-addons) (πŸ“₯ 1.2M / month Β· πŸ“¦ 370 Β· ⏱️ 28.11.2023): +- [PyPi](https://pypi.org/project/tensorflow-addons) (πŸ“₯ 1.3M / month Β· πŸ“¦ 370 Β· ⏱️ 28.11.2023): ``` pip install tensorflow-addons ``` @@ -6918,19 +6940,19 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/io ``` -- [PyPi](https://pypi.org/project/tensorflow-io) (πŸ“₯ 850K / month Β· πŸ“¦ 61 Β· ⏱️ 01.07.2024): +- [PyPi](https://pypi.org/project/tensorflow-io) (πŸ“₯ 740K / month Β· πŸ“¦ 61 Β· ⏱️ 01.07.2024): ``` pip install tensorflow-io ```
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TF Model Optimization (πŸ₯ˆ28 Β· ⭐ 1.5K) - A toolkit to optimize ML models for deployment for.. Apache-2 +
TF Model Optimization (πŸ₯‰27 Β· ⭐ 1.5K) - A toolkit to optimize ML models for deployment for.. Apache-2 - [GitHub](https://github.com/tensorflow/model-optimization) (πŸ‘¨β€πŸ’» 86 Β· πŸ”€ 320 Β· πŸ“‹ 400 - 57% open Β· ⏱️ 16.12.2024): ``` git clone https://github.com/tensorflow/model-optimization ``` -- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (πŸ“₯ 470K / month Β· πŸ“¦ 45 Β· ⏱️ 08.02.2024): +- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (πŸ“₯ 320K / month Β· πŸ“¦ 45 Β· ⏱️ 08.02.2024): ``` pip install tensorflow-model-optimization ``` @@ -6942,14 +6964,14 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/transform ``` -- [PyPi](https://pypi.org/project/tensorflow-transform) (πŸ“₯ 430K / month Β· πŸ“¦ 18 Β· ⏱️ 28.10.2024): +- [PyPi](https://pypi.org/project/tensorflow-transform) (πŸ“₯ 390K / month Β· πŸ“¦ 18 Β· ⏱️ 28.10.2024): ``` pip install tensorflow-transform ```
Neural Structured Learning (πŸ₯‰24 Β· ⭐ 980 Β· πŸ’€) - Training neural models with structured signals. Apache-2 -- [GitHub](https://github.com/tensorflow/neural-structured-learning) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 190 Β· πŸ“¦ 490 Β· πŸ“‹ 69 - 1% open Β· ⏱️ 18.06.2024): +- [GitHub](https://github.com/tensorflow/neural-structured-learning) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 190 Β· πŸ“¦ 500 Β· πŸ“‹ 69 - 1% open Β· ⏱️ 18.06.2024): ``` git clone https://github.com/tensorflow/neural-structured-learning @@ -6959,48 +6981,48 @@ _Libraries that extend TensorFlow with additional capabilities._ pip install neural-structured-learning ```
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TF Compression (πŸ₯‰22 Β· ⭐ 870) - Data compression in TensorFlow. Apache-2 +
Saliency (πŸ₯‰22 Β· ⭐ 960 Β· πŸ’€) - Framework-agnostic implementation for state-of-the-art.. Apache-2 -- [GitHub](https://github.com/tensorflow/compression) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 250 Β· πŸ“‹ 100 - 10% open Β· ⏱️ 17.12.2024): +- [GitHub](https://github.com/PAIR-code/saliency) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 190 Β· πŸ“¦ 120 Β· πŸ“‹ 39 - 30% open Β· ⏱️ 20.03.2024): ``` - git clone https://github.com/tensorflow/compression + git clone https://github.com/PAIR-code/saliency ``` -- [PyPi](https://pypi.org/project/tensorflow-compression) (πŸ“₯ 2.1K / month Β· πŸ“¦ 2 Β· ⏱️ 02.02.2024): +- [PyPi](https://pypi.org/project/saliency) (πŸ“₯ 13K / month Β· πŸ“¦ 8 Β· ⏱️ 20.03.2024): ``` - pip install tensorflow-compression + pip install saliency ```
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TensorFlow Cloud (πŸ₯‰21 Β· ⭐ 380 Β· πŸ’€) - The TensorFlow Cloud repository provides APIs that.. Apache-2 +
TF Compression (πŸ₯‰21 Β· ⭐ 870) - Data compression in TensorFlow. Apache-2 -- [GitHub](https://github.com/tensorflow/cloud) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 90 Β· πŸ“‹ 100 - 73% open Β· ⏱️ 25.02.2024): +- [GitHub](https://github.com/tensorflow/compression) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 250 Β· πŸ“‹ 100 - 10% open Β· ⏱️ 17.12.2024): ``` - git clone https://github.com/tensorflow/cloud + git clone https://github.com/tensorflow/compression ``` -- [PyPi](https://pypi.org/project/tensorflow-cloud) (πŸ“₯ 35K / month Β· πŸ“¦ 7 Β· ⏱️ 17.06.2021): +- [PyPi](https://pypi.org/project/tensorflow-compression) (πŸ“₯ 1.9K / month Β· πŸ“¦ 2 Β· ⏱️ 02.02.2024): ``` - pip install tensorflow-cloud + pip install tensorflow-compression ```
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Saliency (πŸ₯‰18 Β· ⭐ 960 Β· πŸ’€) - Framework-agnostic implementation for state-of-the-art.. Apache-2 +
TensorFlow Cloud (πŸ₯‰21 Β· ⭐ 380 Β· πŸ’€) - The TensorFlow Cloud repository provides APIs that.. Apache-2 -- [GitHub](https://github.com/PAIR-code/saliency) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 190 Β· πŸ“¦ 120 Β· πŸ“‹ 39 - 30% open Β· ⏱️ 20.03.2024): +- [GitHub](https://github.com/tensorflow/cloud) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 90 Β· πŸ“‹ 100 - 73% open Β· ⏱️ 25.02.2024): ``` - git clone https://github.com/PAIR-code/saliency + git clone https://github.com/tensorflow/cloud ``` -- [PyPi](https://pypi.org/project/saliency) (πŸ“¦ 8 Β· ⏱️ 20.03.2024): +- [PyPi](https://pypi.org/project/tensorflow-cloud) (πŸ“₯ 34K / month Β· πŸ“¦ 7 Β· ⏱️ 17.06.2021): ``` - pip install saliency + pip install tensorflow-cloud ```
Show 5 hidden projects... - tensor2tensor (πŸ₯ˆ32 Β· ⭐ 16K Β· πŸ’€) - Library of deep learning models and datasets designed.. Apache-2 -- Keras-Preprocessing (πŸ₯ˆ28 Β· ⭐ 1K Β· πŸ’€) - Utilities for working with image data, text data, and.. MIT +- Keras-Preprocessing (πŸ₯ˆ29 Β· ⭐ 1K Β· πŸ’€) - Utilities for working with image data, text data, and.. MIT - efficientnet (πŸ₯‰26 Β· ⭐ 2.1K Β· πŸ’€) - Implementation of EfficientNet model. Keras and.. Apache-2 -- TensorNets (πŸ₯‰20 Β· ⭐ 1K Β· πŸ’€) - High level network definitions with pre-trained weights in.. MIT +- TensorNets (πŸ₯‰21 Β· ⭐ 1K Β· πŸ’€) - High level network definitions with pre-trained weights in.. MIT - tffm (πŸ₯‰18 Β· ⭐ 780 Β· πŸ’€) - TensorFlow implementation of an arbitrary order Factorization Machine. MIT

@@ -7013,24 +7035,24 @@ _Libraries that extend Jax with additional capabilities._
equinox (πŸ₯‡31 Β· ⭐ 2.2K) - Elegant easy-to-use neural networks + scientific computing in.. Apache-2 -- [GitHub](https://github.com/patrick-kidger/equinox) (πŸ‘¨β€πŸ’» 57 Β· πŸ”€ 150 Β· πŸ“¦ 900 Β· πŸ“‹ 480 - 34% open Β· ⏱️ 24.12.2024): +- [GitHub](https://github.com/patrick-kidger/equinox) (πŸ‘¨β€πŸ’» 57 Β· πŸ”€ 150 Β· πŸ“¦ 920 Β· πŸ“‹ 490 - 34% open Β· ⏱️ 08.01.2025): ``` git clone https://github.com/patrick-kidger/equinox ``` -- [PyPi](https://pypi.org/project/equinox) (πŸ“₯ 280K / month Β· πŸ“¦ 200 Β· ⏱️ 24.12.2024): +- [PyPi](https://pypi.org/project/equinox) (πŸ“₯ 270K / month Β· πŸ“¦ 200 Β· ⏱️ 24.12.2024): ``` pip install equinox ```
evojax (πŸ₯‰19 Β· ⭐ 860 Β· πŸ’€) - EvoJAX: Hardware-accelerated Neuroevolution. Apache-2 -- [GitHub](https://github.com/google/evojax) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 93 Β· πŸ“¦ 27 Β· πŸ“‹ 37 - 54% open Β· ⏱️ 27.06.2024): +- [GitHub](https://github.com/google/evojax) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 92 Β· πŸ“¦ 27 Β· πŸ“‹ 37 - 54% open Β· ⏱️ 27.06.2024): ``` git clone https://github.com/google/evojax ``` -- [PyPi](https://pypi.org/project/evojax) (πŸ“₯ 1.6K / month Β· πŸ“¦ 6 Β· ⏱️ 18.06.2024): +- [PyPi](https://pypi.org/project/evojax) (πŸ“₯ 1.4K / month Β· πŸ“¦ 6 Β· ⏱️ 18.06.2024): ``` pip install evojax ``` @@ -7051,14 +7073,14 @@ _Libraries that extend Jax with additional capabilities._ _Libraries that extend scikit-learn with additional capabilities._ -
MLxtend (πŸ₯‡35 Β· ⭐ 4.9K) - A library of extension and helper modules for Pythons data.. BSD-3 +
MLxtend (πŸ₯‡36 Β· ⭐ 4.9K) - A library of extension and helper modules for Pythons data.. BSD-3 -- [GitHub](https://github.com/rasbt/mlxtend) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 870 Β· πŸ“¦ 17K Β· πŸ“‹ 490 - 29% open Β· ⏱️ 15.11.2024): +- [GitHub](https://github.com/rasbt/mlxtend) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 870 Β· πŸ“¦ 17K Β· πŸ“‹ 490 - 30% open Β· ⏱️ 15.11.2024): ``` git clone https://github.com/rasbt/mlxtend ``` -- [PyPi](https://pypi.org/project/mlxtend) (πŸ“₯ 650K / month Β· πŸ“¦ 190 Β· ⏱️ 15.11.2024): +- [PyPi](https://pypi.org/project/mlxtend) (πŸ“₯ 610K / month Β· πŸ“¦ 190 Β· ⏱️ 15.11.2024): ``` pip install mlxtend ``` @@ -7069,12 +7091,12 @@ _Libraries that extend scikit-learn with additional capabilities._
scikit-learn-intelex (πŸ₯‡35 Β· ⭐ 1.2K) - Extension for Scikit-learn is a seamless way to speed.. Apache-2 -- [GitHub](https://github.com/uxlfoundation/scikit-learn-intelex) (πŸ‘¨β€πŸ’» 83 Β· πŸ”€ 180 Β· πŸ“¦ 13K Β· πŸ“‹ 240 - 17% open Β· ⏱️ 27.12.2024): +- [GitHub](https://github.com/uxlfoundation/scikit-learn-intelex) (πŸ‘¨β€πŸ’» 83 Β· πŸ”€ 180 Β· πŸ“¦ 13K Β· πŸ“‹ 240 - 17% open Β· ⏱️ 09.01.2025): ``` git clone https://github.com/intel/scikit-learn-intelex ``` -- [PyPi](https://pypi.org/project/scikit-learn-intelex) (πŸ“₯ 90K / month Β· πŸ“¦ 55 Β· ⏱️ 12.12.2024): +- [PyPi](https://pypi.org/project/scikit-learn-intelex) (πŸ“₯ 83K / month Β· πŸ“¦ 55 Β· ⏱️ 12.12.2024): ``` pip install scikit-learn-intelex ``` @@ -7090,7 +7112,7 @@ _Libraries that extend scikit-learn with additional capabilities._ ``` git clone https://github.com/scikit-learn-contrib/imbalanced-learn ``` -- [PyPi](https://pypi.org/project/imbalanced-learn) (πŸ“₯ 15M / month Β· πŸ“¦ 480 Β· ⏱️ 20.12.2024): +- [PyPi](https://pypi.org/project/imbalanced-learn) (πŸ“₯ 14M / month Β· πŸ“¦ 480 Β· ⏱️ 20.12.2024): ``` pip install imbalanced-learn ``` @@ -7101,16 +7123,16 @@ _Libraries that extend scikit-learn with additional capabilities._
category_encoders (πŸ₯ˆ32 Β· ⭐ 2.4K) - A library of sklearn compatible categorical variable.. BSD-3 -- [GitHub](https://github.com/scikit-learn-contrib/category_encoders) (πŸ‘¨β€πŸ’» 70 Β· πŸ”€ 400 Β· πŸ“¦ 2.5K Β· πŸ“‹ 290 - 15% open Β· ⏱️ 01.10.2024): +- [GitHub](https://github.com/scikit-learn-contrib/category_encoders) (πŸ‘¨β€πŸ’» 70 Β· πŸ”€ 400 Β· πŸ“¦ 2.5K Β· πŸ“‹ 300 - 15% open Β· ⏱️ 07.01.2025): ``` git clone https://github.com/scikit-learn-contrib/category_encoders ``` -- [PyPi](https://pypi.org/project/category_encoders) (πŸ“₯ 1.3M / month Β· πŸ“¦ 280 Β· ⏱️ 01.10.2024): +- [PyPi](https://pypi.org/project/category_encoders) (πŸ“₯ 1.3M / month Β· πŸ“¦ 300 Β· ⏱️ 07.01.2025): ``` pip install category_encoders ``` -- [Conda](https://anaconda.org/conda-forge/category_encoders) (πŸ“₯ 300K Β· ⏱️ 20.12.2024): +- [Conda](https://anaconda.org/conda-forge/category_encoders) (πŸ“₯ 300K Β· ⏱️ 08.01.2025): ``` conda install -c conda-forge category_encoders ``` @@ -7122,7 +7144,7 @@ _Libraries that extend scikit-learn with additional capabilities._ ``` git clone https://github.com/koaning/scikit-lego ``` -- [PyPi](https://pypi.org/project/scikit-lego) (πŸ“₯ 23K / month Β· πŸ“¦ 13 Β· ⏱️ 17.12.2024): +- [PyPi](https://pypi.org/project/scikit-lego) (πŸ“₯ 22K / month Β· πŸ“¦ 13 Β· ⏱️ 17.12.2024): ``` pip install scikit-lego ``` @@ -7131,26 +7153,26 @@ _Libraries that extend scikit-learn with additional capabilities._ conda install -c conda-forge scikit-lego ```
-
scikit-opt (πŸ₯‰25 Β· ⭐ 5.3K Β· πŸ’€) - Genetic Algorithm, Particle Swarm Optimization, Simulated.. MIT +
scikit-opt (πŸ₯‰25 Β· ⭐ 5.4K Β· πŸ’€) - Genetic Algorithm, Particle Swarm Optimization, Simulated.. MIT - [GitHub](https://github.com/guofei9987/scikit-opt) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 990 Β· πŸ“¦ 240 Β· πŸ“‹ 180 - 37% open Β· ⏱️ 23.06.2024): ``` git clone https://github.com/guofei9987/scikit-opt ``` -- [PyPi](https://pypi.org/project/scikit-opt) (πŸ“₯ 4.3K / month Β· πŸ“¦ 15 Β· ⏱️ 14.01.2022): +- [PyPi](https://pypi.org/project/scikit-opt) (πŸ“₯ 4K / month Β· πŸ“¦ 15 Β· ⏱️ 14.01.2022): ``` pip install scikit-opt ```
-
iterative-stratification (πŸ₯‰22 Β· ⭐ 860) - scikit-learn cross validators for iterative.. BSD-3 +
iterative-stratification (πŸ₯‰21 Β· ⭐ 860) - scikit-learn cross validators for iterative.. BSD-3 - [GitHub](https://github.com/trent-b/iterative-stratification) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 75 Β· πŸ“¦ 530 Β· πŸ“‹ 27 - 7% open Β· ⏱️ 12.10.2024): ``` git clone https://github.com/trent-b/iterative-stratification ``` -- [PyPi](https://pypi.org/project/iterative-stratification) (πŸ“₯ 29K / month Β· πŸ“¦ 15 Β· ⏱️ 12.10.2024): +- [PyPi](https://pypi.org/project/iterative-stratification) (πŸ“₯ 26K / month Β· πŸ“¦ 15 Β· ⏱️ 12.10.2024): ``` pip install iterative-stratification ``` @@ -7162,19 +7184,19 @@ _Libraries that extend scikit-learn with additional capabilities._ ``` git clone https://github.com/amueller/dabl ``` -- [PyPi](https://pypi.org/project/dabl) (πŸ“₯ 5.3K / month Β· πŸ“¦ 3 Β· ⏱️ 16.12.2024): +- [PyPi](https://pypi.org/project/dabl) (πŸ“₯ 5.7K / month Β· πŸ“¦ 3 Β· ⏱️ 16.12.2024): ``` pip install dabl ```
scikit-tda (πŸ₯‰18 Β· ⭐ 530) - Topological Data Analysis for Python. MIT -- [GitHub](https://github.com/scikit-tda/scikit-tda) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 55 Β· πŸ“¦ 65 Β· πŸ“‹ 22 - 18% open Β· ⏱️ 19.07.2024): +- [GitHub](https://github.com/scikit-tda/scikit-tda) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 55 Β· πŸ“¦ 67 Β· πŸ“‹ 22 - 18% open Β· ⏱️ 19.07.2024): ``` git clone https://github.com/scikit-tda/scikit-tda ``` -- [PyPi](https://pypi.org/project/scikit-tda) (πŸ“₯ 1.2K / month Β· ⏱️ 19.07.2024): +- [PyPi](https://pypi.org/project/scikit-tda) (πŸ“₯ 1.1K / month Β· ⏱️ 19.07.2024): ``` pip install scikit-tda ``` @@ -7186,7 +7208,7 @@ _Libraries that extend scikit-learn with additional capabilities._ ``` git clone https://github.com/scikit-learn-contrib/DESlib ``` -- [PyPi](https://pypi.org/project/deslib) (πŸ“₯ 2.9K / month Β· πŸ“¦ 3 Β· ⏱️ 12.04.2024): +- [PyPi](https://pypi.org/project/deslib) (πŸ“₯ 2.2K / month Β· πŸ“¦ 3 Β· ⏱️ 12.04.2024): ``` pip install deslib ``` @@ -7211,9 +7233,9 @@ _Libraries that extend scikit-learn with additional capabilities._ _Libraries that extend Pytorch with additional capabilities._ -
accelerate (πŸ₯‡41 Β· ⭐ 8.1K Β· πŸ“ˆ) - A simple way to launch, train, and use PyTorch models.. Apache-2 +
accelerate (πŸ₯‡41 Β· ⭐ 8.2K) - A simple way to launch, train, and use PyTorch models on.. Apache-2 -- [GitHub](https://github.com/huggingface/accelerate) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 990 Β· πŸ“¦ 65K Β· πŸ“‹ 1.7K - 7% open Β· ⏱️ 24.12.2024): +- [GitHub](https://github.com/huggingface/accelerate) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 990 Β· πŸ“¦ 66K Β· πŸ“‹ 1.7K - 7% open Β· ⏱️ 08.01.2025): ``` git clone https://github.com/huggingface/accelerate @@ -7229,12 +7251,12 @@ _Libraries that extend Pytorch with additional capabilities._
PML (πŸ₯‡35 Β· ⭐ 6.1K) - The easiest way to use deep metric learning in your application. Modular,.. MIT -- [GitHub](https://github.com/KevinMusgrave/pytorch-metric-learning) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 660 Β· πŸ“¦ 2.2K Β· πŸ“‹ 520 - 13% open Β· ⏱️ 11.12.2024): +- [GitHub](https://github.com/KevinMusgrave/pytorch-metric-learning) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 660 Β· πŸ“¦ 2.2K Β· πŸ“‹ 520 - 13% open Β· ⏱️ 11.12.2024): ``` git clone https://github.com/KevinMusgrave/pytorch-metric-learning ``` -- [PyPi](https://pypi.org/project/pytorch-metric-learning) (πŸ“₯ 650K / month Β· πŸ“¦ 55 Β· ⏱️ 11.12.2024): +- [PyPi](https://pypi.org/project/pytorch-metric-learning) (πŸ“₯ 700K / month Β· πŸ“¦ 55 Β· ⏱️ 11.12.2024): ``` pip install pytorch-metric-learning ``` @@ -7245,7 +7267,7 @@ _Libraries that extend Pytorch with additional capabilities._
tinygrad (πŸ₯‡33 Β· ⭐ 27K) - You like pytorch? You like micrograd? You love tinygrad!. MIT -- [GitHub](https://github.com/tinygrad/tinygrad) (πŸ‘¨β€πŸ’» 360 Β· πŸ”€ 3K Β· πŸ“¦ 150 Β· πŸ“‹ 840 - 15% open Β· ⏱️ 02.01.2025): +- [GitHub](https://github.com/tinygrad/tinygrad) (πŸ‘¨β€πŸ’» 360 Β· πŸ”€ 3K Β· πŸ“¦ 150 Β· πŸ“‹ 840 - 15% open Β· ⏱️ 09.01.2025): ``` git clone https://github.com/geohot/tinygrad @@ -7258,7 +7280,7 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/rtqichen/torchdiffeq ``` -- [PyPi](https://pypi.org/project/torchdiffeq) (πŸ“₯ 780K / month Β· πŸ“¦ 120 Β· ⏱️ 21.11.2024): +- [PyPi](https://pypi.org/project/torchdiffeq) (πŸ“₯ 800K / month Β· πŸ“¦ 120 Β· ⏱️ 21.11.2024): ``` pip install torchdiffeq ``` @@ -7269,7 +7291,7 @@ _Libraries that extend Pytorch with additional capabilities._
torchsde (πŸ₯ˆ29 Β· ⭐ 1.6K) - Differentiable SDE solvers with GPU support and efficient.. Apache-2 -- [GitHub](https://github.com/google-research/torchsde) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 200 Β· πŸ“¦ 4.2K Β· πŸ“‹ 82 - 35% open Β· ⏱️ 30.12.2024): +- [GitHub](https://github.com/google-research/torchsde) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 200 Β· πŸ“¦ 4.3K Β· πŸ“‹ 82 - 35% open Β· ⏱️ 30.12.2024): ``` git clone https://github.com/google-research/torchsde @@ -7290,11 +7312,11 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/rusty1s/pytorch_scatter ``` -- [PyPi](https://pypi.org/project/torch-scatter) (πŸ“₯ 35K / month Β· πŸ“¦ 150 Β· ⏱️ 06.10.2023): +- [PyPi](https://pypi.org/project/torch-scatter) (πŸ“₯ 34K / month Β· πŸ“¦ 150 Β· ⏱️ 06.10.2023): ``` pip install torch-scatter ``` -- [Conda](https://anaconda.org/conda-forge/pytorch_scatter) (πŸ“₯ 600K Β· ⏱️ 05.11.2024): +- [Conda](https://anaconda.org/conda-forge/pytorch_scatter) (πŸ“₯ 610K Β· ⏱️ 05.11.2024): ``` conda install -c conda-forge pytorch_scatter ``` @@ -7318,30 +7340,30 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/BloodAxe/pytorch-toolbelt ``` -- [PyPi](https://pypi.org/project/pytorch_toolbelt) (πŸ“₯ 6.4K / month Β· πŸ“¦ 12 Β· ⏱️ 21.11.2024): +- [PyPi](https://pypi.org/project/pytorch_toolbelt) (πŸ“₯ 5.8K / month Β· πŸ“¦ 12 Β· ⏱️ 21.11.2024): ``` pip install pytorch_toolbelt ```
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PyTorch Sparse (πŸ₯‰23 Β· ⭐ 1K) - PyTorch Extension Library of Optimized Autograd Sparse Matrix.. MIT +
PyTorch Sparse (πŸ₯‰24 Β· ⭐ 1K) - PyTorch Extension Library of Optimized Autograd Sparse Matrix.. MIT - [GitHub](https://github.com/rusty1s/pytorch_sparse) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 150 Β· πŸ“‹ 290 - 10% open Β· ⏱️ 12.11.2024): ``` git clone https://github.com/rusty1s/pytorch_sparse ``` -- [PyPi](https://pypi.org/project/torch-sparse) (πŸ“₯ 26K / month Β· πŸ“¦ 120 Β· ⏱️ 06.10.2023): +- [PyPi](https://pypi.org/project/torch-sparse) (πŸ“₯ 25K / month Β· πŸ“¦ 120 Β· ⏱️ 06.10.2023): ``` pip install torch-sparse ``` -- [Conda](https://anaconda.org/conda-forge/pytorch_sparse) (πŸ“₯ 560K Β· ⏱️ 05.11.2024): +- [Conda](https://anaconda.org/conda-forge/pytorch_sparse) (πŸ“₯ 570K Β· ⏱️ 05.11.2024): ``` conda install -c conda-forge pytorch_sparse ```
pytorchviz (πŸ₯‰19 Β· ⭐ 3.3K) - A small package to create visualizations of PyTorch execution graphs. MIT -- [GitHub](https://github.com/szagoruyko/pytorchviz) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 280 Β· πŸ“¦ 2.4K Β· πŸ“‹ 72 - 47% open Β· ⏱️ 30.12.2024): +- [GitHub](https://github.com/szagoruyko/pytorchviz) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 280 Β· πŸ“¦ 2.5K Β· πŸ“‹ 72 - 47% open Β· ⏱️ 30.12.2024): ``` git clone https://github.com/szagoruyko/pytorchviz @@ -7351,12 +7373,12 @@ _Libraries that extend Pytorch with additional capabilities._ - pretrainedmodels (πŸ₯ˆ29 Β· ⭐ 9.1K Β· πŸ’€) - Pretrained ConvNets for pytorch: NASNet, ResNeXt,.. BSD-3 - pytorch-summary (πŸ₯ˆ28 Β· ⭐ 4K Β· πŸ’€) - Model summary in PyTorch similar to `model.summary()` in.. MIT +- lightning-flash (πŸ₯ˆ28 Β· ⭐ 1.7K Β· πŸ’€) - Your PyTorch AI Factory - Flash enables you to easily.. Apache-2 - EfficientNet-PyTorch (πŸ₯ˆ27 Β· ⭐ 8K Β· πŸ’€) - A PyTorch implementation of EfficientNet. Apache-2 - pytorch-optimizer (πŸ₯ˆ27 Β· ⭐ 3.1K Β· πŸ’€) - torch-optimizer -- collection of optimizers for.. Apache-2 -- lightning-flash (πŸ₯ˆ27 Β· ⭐ 1.7K Β· πŸ’€) - Your PyTorch AI Factory - Flash enables you to easily.. Apache-2 - TabNet (πŸ₯ˆ25 Β· ⭐ 2.7K Β· πŸ’€) - PyTorch implementation of TabNet paper :.. MIT -- Higher (πŸ₯‰24 Β· ⭐ 1.6K Β· πŸ’€) - higher is a pytorch library allowing users to obtain higher.. Apache-2 -- Torchmeta (πŸ₯‰23 Β· ⭐ 2K Β· πŸ’€) - A collection of extensions and data-loaders for few-shot.. MIT +- Torchmeta (πŸ₯‰24 Β· ⭐ 2K Β· πŸ’€) - A collection of extensions and data-loaders for few-shot.. MIT +- Higher (πŸ₯‰23 Β· ⭐ 1.6K Β· πŸ’€) - higher is a pytorch library allowing users to obtain higher.. Apache-2 - micrograd (πŸ₯‰22 Β· ⭐ 11K Β· πŸ’€) - A tiny scalar-valued autograd engine and a neural net library.. MIT - SRU (πŸ₯‰22 Β· ⭐ 2.1K Β· πŸ’€) - Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755). MIT - Antialiased CNNs (πŸ₯‰22 Β· ⭐ 1.7K Β· πŸ’€) - pip install antialiased-cnns to improve stability and.. ❗️CC BY-NC-SA 4.0 @@ -7390,80 +7412,80 @@ _Libraries for connecting to, operating, and querying databases._
scipy (πŸ₯‡50 Β· ⭐ 13K) - Ecosystem of open-source software for mathematics, science, and engineering. BSD-3 -- [GitHub](https://github.com/scipy/scipy) (πŸ‘¨β€πŸ’» 1.7K Β· πŸ”€ 5.2K Β· πŸ“₯ 440K Β· πŸ“¦ 1.2M Β· πŸ“‹ 11K - 15% open Β· ⏱️ 02.01.2025): +- [GitHub](https://github.com/scipy/scipy) (πŸ‘¨β€πŸ’» 1.7K Β· πŸ”€ 5.2K Β· πŸ“₯ 450K Β· πŸ“¦ 1.2M Β· πŸ“‹ 11K - 15% open Β· ⏱️ 09.01.2025): ``` git clone https://github.com/scipy/scipy ``` -- [PyPi](https://pypi.org/project/scipy) (πŸ“₯ 110M / month Β· πŸ“¦ 49K Β· ⏱️ 24.12.2024): +- [PyPi](https://pypi.org/project/scipy) (πŸ“₯ 110M / month Β· πŸ“¦ 49K Β· ⏱️ 03.01.2025): ``` pip install scipy ``` -- [Conda](https://anaconda.org/conda-forge/scipy) (πŸ“₯ 56M Β· ⏱️ 08.12.2024): +- [Conda](https://anaconda.org/conda-forge/scipy) (πŸ“₯ 56M Β· ⏱️ 08.01.2025): ``` conda install -c conda-forge scipy ```
SymPy (πŸ₯‡49 Β· ⭐ 13K) - A computer algebra system written in pure Python. BSD-3 -- [GitHub](https://github.com/sympy/sympy) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 4.5K Β· πŸ“₯ 550K Β· πŸ“¦ 200K Β· πŸ“‹ 14K - 36% open Β· ⏱️ 01.01.2025): +- [GitHub](https://github.com/sympy/sympy) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 4.5K Β· πŸ“₯ 550K Β· πŸ“¦ 210K Β· πŸ“‹ 14K - 36% open Β· ⏱️ 09.01.2025): ``` git clone https://github.com/sympy/sympy ``` -- [PyPi](https://pypi.org/project/sympy) (πŸ“₯ 28M / month Β· πŸ“¦ 3.5K Β· ⏱️ 18.09.2024): +- [PyPi](https://pypi.org/project/sympy) (πŸ“₯ 26M / month Β· πŸ“¦ 3.5K Β· ⏱️ 18.09.2024): ``` pip install sympy ``` -- [Conda](https://anaconda.org/conda-forge/sympy) (πŸ“₯ 7.5M Β· ⏱️ 09.10.2024): +- [Conda](https://anaconda.org/conda-forge/sympy) (πŸ“₯ 7.5M Β· ⏱️ 07.01.2025): ``` conda install -c conda-forge sympy ```
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Streamlit (πŸ₯‡46 Β· ⭐ 36K) - Streamlit A faster way to build and share data apps. Apache-2 +
Streamlit (πŸ₯‡46 Β· ⭐ 37K) - Streamlit A faster way to build and share data apps. Apache-2 -- [GitHub](https://github.com/streamlit/streamlit) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 3.1K Β· πŸ“¦ 650K Β· πŸ“‹ 4.8K - 20% open Β· ⏱️ 31.12.2024): +- [GitHub](https://github.com/streamlit/streamlit) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 3.2K Β· πŸ“¦ 660K Β· πŸ“‹ 4.8K - 20% open Β· ⏱️ 09.01.2025): ``` git clone https://github.com/streamlit/streamlit ``` -- [PyPi](https://pypi.org/project/streamlit) (πŸ“₯ 5.9M / month Β· πŸ“¦ 3K Β· ⏱️ 13.12.2024): +- [PyPi](https://pypi.org/project/streamlit) (πŸ“₯ 5.7M / month Β· πŸ“¦ 3K Β· ⏱️ 13.12.2024): ``` pip install streamlit ```
Gradio (πŸ₯‡44 Β· ⭐ 35K) - Wrap UIs around any model, share with anyone. Apache-2 -- [GitHub](https://github.com/gradio-app/gradio) (πŸ‘¨β€πŸ’» 480 Β· πŸ”€ 2.6K Β· πŸ“¦ 51K Β· πŸ“‹ 5.2K - 8% open Β· ⏱️ 01.01.2025): +- [GitHub](https://github.com/gradio-app/gradio) (πŸ‘¨β€πŸ’» 480 Β· πŸ”€ 2.6K Β· πŸ“¦ 52K Β· πŸ“‹ 5.2K - 8% open Β· ⏱️ 08.01.2025): ``` git clone https://github.com/gradio-app/gradio ``` -- [PyPi](https://pypi.org/project/gradio) (πŸ“₯ 5.8M / month Β· πŸ“¦ 930 Β· ⏱️ 16.12.2024): +- [PyPi](https://pypi.org/project/gradio) (πŸ“₯ 5.7M / month Β· πŸ“¦ 960 Β· ⏱️ 08.01.2025): ``` pip install gradio ```
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carla (πŸ₯‡37 Β· ⭐ 12K) - Open-source simulator for autonomous driving research. MIT +
carla (πŸ₯‡38 Β· ⭐ 12K) - Open-source simulator for autonomous driving research. MIT -- [GitHub](https://github.com/carla-simulator/carla) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 3.7K Β· πŸ“¦ 890 Β· πŸ“‹ 5.7K - 19% open Β· ⏱️ 19.12.2024): +- [GitHub](https://github.com/carla-simulator/carla) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 3.7K Β· πŸ“¦ 890 Β· πŸ“‹ 5.7K - 19% open Β· ⏱️ 09.01.2025): ``` git clone https://github.com/carla-simulator/carla ``` -- [PyPi](https://pypi.org/project/carla) (πŸ“₯ 13K / month Β· πŸ“¦ 11 Β· ⏱️ 14.11.2023): +- [PyPi](https://pypi.org/project/carla) (πŸ“₯ 11K / month Β· πŸ“¦ 11 Β· ⏱️ 14.11.2023): ``` pip install carla ```
Autograd (πŸ₯‡37 Β· ⭐ 7.1K) - Efficiently computes derivatives of NumPy code. MIT -- [GitHub](https://github.com/HIPS/autograd) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 910 Β· πŸ“¦ 11K Β· πŸ“‹ 420 - 42% open Β· ⏱️ 01.01.2025): +- [GitHub](https://github.com/HIPS/autograd) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 910 Β· πŸ“¦ 11K Β· πŸ“‹ 430 - 41% open Β· ⏱️ 06.01.2025): ``` git clone https://github.com/HIPS/autograd ``` -- [PyPi](https://pypi.org/project/autograd) (πŸ“₯ 3.5M / month Β· πŸ“¦ 280 Β· ⏱️ 22.08.2024): +- [PyPi](https://pypi.org/project/autograd) (πŸ“₯ 3.4M / month Β· πŸ“¦ 280 Β· ⏱️ 22.08.2024): ``` pip install autograd ``` @@ -7472,41 +7494,41 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge autograd ```
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PennyLane (πŸ₯‡37 Β· ⭐ 2.4K) - PennyLane is a cross-platform Python library for quantum.. Apache-2 +
PyOD (πŸ₯‡36 Β· ⭐ 8.7K) - A Python Library for Outlier and Anomaly Detection, Integrating Classical.. BSD-2 -- [GitHub](https://github.com/PennyLaneAI/pennylane) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 610 Β· πŸ“₯ 100 Β· πŸ“¦ 1.2K Β· πŸ“‹ 1.5K - 23% open Β· ⏱️ 02.01.2025): +- [GitHub](https://github.com/yzhao062/pyod) (πŸ‘¨β€πŸ’» 62 Β· πŸ”€ 1.4K Β· πŸ“¦ 4.6K Β· πŸ“‹ 370 - 60% open Β· ⏱️ 22.12.2024): ``` - git clone https://github.com/PennyLaneAI/PennyLane + git clone https://github.com/yzhao062/pyod ``` -- [PyPi](https://pypi.org/project/pennylane) (πŸ“₯ 58K / month Β· πŸ“¦ 120 Β· ⏱️ 05.11.2024): +- [PyPi](https://pypi.org/project/pyod) (πŸ“₯ 580K / month Β· πŸ“¦ 120 Β· ⏱️ 22.12.2024): ``` - pip install pennylane + pip install pyod ``` -- [Conda](https://anaconda.org/conda-forge/pennylane) (πŸ“₯ 180K Β· ⏱️ 09.07.2024): +- [Conda](https://anaconda.org/conda-forge/pyod) (πŸ“₯ 130K Β· ⏱️ 06.09.2024): ``` - conda install -c conda-forge pennylane + conda install -c conda-forge pyod ```
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PyOD (πŸ₯ˆ36 Β· ⭐ 8.7K) - A Python Library for Outlier and Anomaly Detection, Integrating Classical.. BSD-2 +
PennyLane (πŸ₯‡36 Β· ⭐ 2.4K Β· πŸ“‰) - PennyLane is a cross-platform Python library for quantum.. Apache-2 -- [GitHub](https://github.com/yzhao062/pyod) (πŸ‘¨β€πŸ’» 62 Β· πŸ”€ 1.4K Β· πŸ“¦ 4.6K Β· πŸ“‹ 370 - 60% open Β· ⏱️ 22.12.2024): +- [GitHub](https://github.com/PennyLaneAI/pennylane) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 610 Β· πŸ“₯ 100 Β· πŸ“¦ 1.2K Β· πŸ“‹ 1.5K - 23% open Β· ⏱️ 09.01.2025): ``` - git clone https://github.com/yzhao062/pyod + git clone https://github.com/PennyLaneAI/PennyLane ``` -- [PyPi](https://pypi.org/project/pyod) (πŸ“₯ 590K / month Β· πŸ“¦ 120 Β· ⏱️ 22.12.2024): +- [PyPi](https://pypi.org/project/pennylane) (πŸ“₯ 54K / month Β· πŸ“¦ 120 Β· ⏱️ 05.11.2024): ``` - pip install pyod + pip install pennylane ``` -- [Conda](https://anaconda.org/conda-forge/pyod) (πŸ“₯ 130K Β· ⏱️ 06.09.2024): +- [Conda](https://anaconda.org/conda-forge/pennylane) (πŸ“₯ 180K Β· ⏱️ 09.07.2024): ``` - conda install -c conda-forge pyod + conda install -c conda-forge pennylane ```
Datasette (πŸ₯ˆ34 Β· ⭐ 9.7K) - An open source multi-tool for exploring and publishing data. Apache-2 -- [GitHub](https://github.com/simonw/datasette) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 690 Β· πŸ“₯ 70 Β· πŸ“¦ 1.4K Β· πŸ“‹ 1.9K - 32% open Β· ⏱️ 01.01.2025): +- [GitHub](https://github.com/simonw/datasette) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 700 Β· πŸ“₯ 70 Β· πŸ“¦ 1.4K Β· πŸ“‹ 1.9K - 32% open Β· ⏱️ 01.01.2025): ``` git clone https://github.com/simonw/datasette @@ -7520,14 +7542,14 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge datasette ```
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DeepChem (πŸ₯ˆ34 Β· ⭐ 5.6K) - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry,.. MIT +
DeepChem (πŸ₯ˆ34 Β· ⭐ 5.7K) - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry,.. MIT -- [GitHub](https://github.com/deepchem/deepchem) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 1.7K Β· πŸ“¦ 480 Β· πŸ“‹ 1.9K - 34% open Β· ⏱️ 24.12.2024): +- [GitHub](https://github.com/deepchem/deepchem) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 1.7K Β· πŸ“¦ 490 Β· πŸ“‹ 1.9K - 35% open Β· ⏱️ 08.01.2025): ``` git clone https://github.com/deepchem/deepchem ``` -- [PyPi](https://pypi.org/project/deepchem) (πŸ“₯ 51K / month Β· πŸ“¦ 14 Β· ⏱️ 24.12.2024): +- [PyPi](https://pypi.org/project/deepchem) (πŸ“₯ 51K / month Β· πŸ“¦ 15 Β· ⏱️ 08.01.2025): ``` pip install deepchem ``` @@ -7538,12 +7560,12 @@ _Libraries for connecting to, operating, and querying databases._
hdbscan (πŸ₯ˆ34 Β· ⭐ 2.8K) - A high performance implementation of HDBSCAN clustering. BSD-3 -- [GitHub](https://github.com/scikit-learn-contrib/hdbscan) (πŸ‘¨β€πŸ’» 96 Β· πŸ”€ 500 Β· πŸ“¦ 4.5K Β· πŸ“‹ 530 - 67% open Β· ⏱️ 18.11.2024): +- [GitHub](https://github.com/scikit-learn-contrib/hdbscan) (πŸ‘¨β€πŸ’» 96 Β· πŸ”€ 500 Β· πŸ“¦ 4.6K Β· πŸ“‹ 530 - 67% open Β· ⏱️ 09.01.2025): ``` git clone https://github.com/scikit-learn-contrib/hdbscan ``` -- [PyPi](https://pypi.org/project/hdbscan) (πŸ“₯ 620K / month Β· πŸ“¦ 350 Β· ⏱️ 18.11.2024): +- [PyPi](https://pypi.org/project/hdbscan) (πŸ“₯ 540K / month Β· πŸ“¦ 350 Β· ⏱️ 18.11.2024): ``` pip install hdbscan ``` @@ -7554,7 +7576,7 @@ _Libraries for connecting to, operating, and querying databases._
agate (πŸ₯ˆ34 Β· ⭐ 1.2K) - A Python data analysis library that is optimized for humans instead of.. MIT -- [GitHub](https://github.com/wireservice/agate) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 160 Β· πŸ“¦ 4.2K Β· πŸ“‹ 650 - 0% open Β· ⏱️ 30.07.2024): +- [GitHub](https://github.com/wireservice/agate) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 160 Β· πŸ“¦ 4.3K Β· πŸ“‹ 650 - 0% open Β· ⏱️ 30.07.2024): ``` git clone https://github.com/wireservice/agate @@ -7563,7 +7585,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` pip install agate ``` -- [Conda](https://anaconda.org/conda-forge/agate) (πŸ“₯ 260K Β· ⏱️ 17.12.2024): +- [Conda](https://anaconda.org/conda-forge/agate) (πŸ“₯ 270K Β· ⏱️ 17.12.2024): ``` conda install -c conda-forge agate ``` @@ -7575,23 +7597,23 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/serge-sans-paille/pythran ``` -- [PyPi](https://pypi.org/project/pythran) (πŸ“₯ 320K / month Β· πŸ“¦ 21 Β· ⏱️ 31.10.2024): +- [PyPi](https://pypi.org/project/pythran) (πŸ“₯ 300K / month Β· πŸ“¦ 21 Β· ⏱️ 31.10.2024): ``` pip install pythran ``` -- [Conda](https://anaconda.org/conda-forge/pythran) (πŸ“₯ 800K Β· ⏱️ 23.11.2024): +- [Conda](https://anaconda.org/conda-forge/pythran) (πŸ“₯ 810K Β· ⏱️ 23.11.2024): ``` conda install -c conda-forge pythran ```
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River (πŸ₯ˆ32 Β· ⭐ 5.1K) - Online machine learning in Python. BSD-3 +
River (πŸ₯ˆ32 Β· ⭐ 5.2K) - Online machine learning in Python. BSD-3 -- [GitHub](https://github.com/online-ml/river) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 550 Β· πŸ“¦ 610 Β· πŸ“‹ 620 - 19% open Β· ⏱️ 06.12.2024): +- [GitHub](https://github.com/online-ml/river) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 550 Β· πŸ“¦ 620 Β· πŸ“‹ 620 - 19% open Β· ⏱️ 06.12.2024): ``` git clone https://github.com/online-ml/river ``` -- [PyPi](https://pypi.org/project/river) (πŸ“₯ 72K / month Β· πŸ“¦ 64 Β· ⏱️ 25.11.2024): +- [PyPi](https://pypi.org/project/river) (πŸ“₯ 66K / month Β· πŸ“¦ 64 Β· ⏱️ 25.11.2024): ``` pip install river ``` @@ -7602,12 +7624,12 @@ _Libraries for connecting to, operating, and querying databases._
tensorly (πŸ₯ˆ32 Β· ⭐ 1.6K) - TensorLy: Tensor Learning in Python. BSD-2 -- [GitHub](https://github.com/tensorly/tensorly) (πŸ‘¨β€πŸ’» 69 Β· πŸ”€ 290 Β· πŸ“¦ 850 Β· πŸ“‹ 270 - 21% open Β· ⏱️ 23.12.2024): +- [GitHub](https://github.com/tensorly/tensorly) (πŸ‘¨β€πŸ’» 69 Β· πŸ”€ 290 Β· πŸ“¦ 860 Β· πŸ“‹ 270 - 21% open Β· ⏱️ 23.12.2024): ``` git clone https://github.com/tensorly/tensorly ``` -- [PyPi](https://pypi.org/project/tensorly) (πŸ“₯ 53K / month Β· πŸ“¦ 99 Β· ⏱️ 12.11.2024): +- [PyPi](https://pypi.org/project/tensorly) (πŸ“₯ 50K / month Β· πŸ“¦ 99 Β· ⏱️ 12.11.2024): ``` pip install tensorly ``` @@ -7623,11 +7645,11 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/datalad/datalad ``` -- [PyPi](https://pypi.org/project/datalad) (πŸ“₯ 15K / month Β· πŸ“¦ 99 Β· ⏱️ 15.12.2024): +- [PyPi](https://pypi.org/project/datalad) (πŸ“₯ 13K / month Β· πŸ“¦ 99 Β· ⏱️ 15.12.2024): ``` pip install datalad ``` -- [Conda](https://anaconda.org/conda-forge/datalad) (πŸ“₯ 700K Β· ⏱️ 20.11.2024): +- [Conda](https://anaconda.org/conda-forge/datalad) (πŸ“₯ 710K Β· ⏱️ 20.11.2024): ``` conda install -c conda-forge datalad ``` @@ -7639,19 +7661,19 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/PaddlePaddle/PaddleHub ``` -- [PyPi](https://pypi.org/project/paddlehub) (πŸ“₯ 5.9K / month Β· πŸ“¦ 7 Β· ⏱️ 20.09.2023): +- [PyPi](https://pypi.org/project/paddlehub) (πŸ“₯ 5.6K / month Β· πŸ“¦ 7 Β· ⏱️ 20.09.2023): ``` pip install paddlehub ```
pyjanitor (πŸ₯ˆ31 Β· ⭐ 1.4K) - Clean APIs for data cleaning. Python implementation of R package.. MIT -- [GitHub](https://github.com/pyjanitor-devs/pyjanitor) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 170 Β· πŸ“¦ 790 Β· πŸ“‹ 570 - 19% open Β· ⏱️ 31.12.2024): +- [GitHub](https://github.com/pyjanitor-devs/pyjanitor) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 170 Β· πŸ“¦ 800 Β· πŸ“‹ 570 - 19% open Β· ⏱️ 07.01.2025): ``` git clone https://github.com/pyjanitor-devs/pyjanitor ``` -- [PyPi](https://pypi.org/project/pyjanitor) (πŸ“₯ 76K / month Β· πŸ“¦ 36 Β· ⏱️ 04.12.2024): +- [PyPi](https://pypi.org/project/pyjanitor) (πŸ“₯ 74K / month Β· πŸ“¦ 36 Β· ⏱️ 04.12.2024): ``` pip install pyjanitor ``` @@ -7662,12 +7684,12 @@ _Libraries for connecting to, operating, and querying databases._
pyopencl (πŸ₯ˆ31 Β· ⭐ 1.1K) - OpenCL integration for Python, plus shiny features. MIT -- [GitHub](https://github.com/inducer/pyopencl) (πŸ‘¨β€πŸ’» 96 Β· πŸ”€ 240 Β· πŸ“¦ 2.1K Β· πŸ“‹ 360 - 21% open Β· ⏱️ 16.12.2024): +- [GitHub](https://github.com/inducer/pyopencl) (πŸ‘¨β€πŸ’» 96 Β· πŸ”€ 240 Β· πŸ“¦ 2.1K Β· πŸ“‹ 360 - 21% open Β· ⏱️ 07.01.2025): ``` git clone https://github.com/inducer/pyopencl ``` -- [PyPi](https://pypi.org/project/pyopencl) (πŸ“₯ 71K / month Β· πŸ“¦ 170 Β· ⏱️ 18.10.2024): +- [PyPi](https://pypi.org/project/pyopencl) (πŸ“₯ 66K / month Β· πŸ“¦ 170 Β· ⏱️ 18.10.2024): ``` pip install pyopencl ``` @@ -7678,12 +7700,12 @@ _Libraries for connecting to, operating, and querying databases._
dstack (πŸ₯ˆ30 Β· ⭐ 1.6K) - dstack is a lightweight, open-source alternative to Kubernetes &.. MPL-2.0 -- [GitHub](https://github.com/dstackai/dstack) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 160 Β· πŸ“¦ 18 Β· πŸ“‹ 1.1K - 9% open Β· ⏱️ 30.12.2024): +- [GitHub](https://github.com/dstackai/dstack) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 160 Β· πŸ“¦ 18 Β· πŸ“‹ 1.1K - 8% open Β· ⏱️ 09.01.2025): ``` git clone https://github.com/dstackai/dstack ``` -- [PyPi](https://pypi.org/project/dstack) (πŸ“₯ 8.3K / month Β· ⏱️ 27.12.2024): +- [PyPi](https://pypi.org/project/dstack) (πŸ“₯ 8.3K / month Β· ⏱️ 08.01.2025): ``` pip install dstack ``` @@ -7700,9 +7722,9 @@ _Libraries for connecting to, operating, and querying databases._ pip install causalml ```
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anomalib (πŸ₯ˆ29 Β· ⭐ 3.9K) - An anomaly detection library comprising state-of-the-art algorithms.. Apache-2 +
anomalib (πŸ₯ˆ29 Β· ⭐ 4K) - An anomaly detection library comprising state-of-the-art algorithms.. Apache-2 -- [GitHub](https://github.com/openvinotoolkit/anomalib) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 690 Β· πŸ“₯ 16K Β· πŸ“¦ 120 Β· πŸ“‹ 960 - 15% open Β· ⏱️ 05.11.2024): +- [GitHub](https://github.com/openvinotoolkit/anomalib) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 700 Β· πŸ“₯ 16K Β· πŸ“¦ 120 Β· πŸ“‹ 960 - 15% open Β· ⏱️ 08.01.2025): ``` git clone https://github.com/openvinotoolkit/anomalib @@ -7719,7 +7741,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/tableau/TabPy ``` -- [PyPi](https://pypi.org/project/tabpy) (πŸ“₯ 6.7K / month Β· πŸ“¦ 2 Β· ⏱️ 25.11.2024): +- [PyPi](https://pypi.org/project/tabpy) (πŸ“₯ 6.3K / month Β· πŸ“¦ 2 Β· ⏱️ 25.11.2024): ``` pip install tabpy ``` @@ -7728,19 +7750,23 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c anaconda tabpy-client ```
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Trax (πŸ₯ˆ28 Β· ⭐ 8.1K) - Trax Deep Learning with Clear Code and Speed. Apache-2 +
Prince (πŸ₯ˆ29 Β· ⭐ 1.3K) - Multivariate exploratory data analysis in Python PCA, CA, MCA, MFA,.. MIT -- [GitHub](https://github.com/google/trax) (πŸ‘¨β€πŸ’» 80 Β· πŸ”€ 810 Β· πŸ“¦ 200 Β· πŸ“‹ 250 - 49% open Β· ⏱️ 10.09.2024): +- [GitHub](https://github.com/MaxHalford/prince) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 180 Β· πŸ“¦ 650 Β· ⏱️ 05.01.2025): ``` - git clone https://github.com/google/trax + git clone https://github.com/MaxHalford/prince ``` -- [PyPi](https://pypi.org/project/trax) (πŸ“₯ 3.6K / month Β· πŸ“¦ 1 Β· ⏱️ 26.10.2021): +- [PyPi](https://pypi.org/project/prince) (πŸ“₯ 140K / month Β· πŸ“¦ 19 Β· ⏱️ 04.01.2025): ``` - pip install trax + pip install prince + ``` +- [Conda](https://anaconda.org/conda-forge/prince-factor-analysis) (πŸ“₯ 22K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge prince-factor-analysis ```
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avalanche (πŸ₯ˆ28 Β· ⭐ 1.8K) - Avalanche: an End-to-End Library for Continual Learning based on.. MIT +
avalanche (πŸ₯‰28 Β· ⭐ 1.8K) - Avalanche: an End-to-End Library for Continual Learning based on.. MIT - [GitHub](https://github.com/ContinualAI/avalanche) (πŸ‘¨β€πŸ’» 80 Β· πŸ”€ 290 Β· πŸ“₯ 45 Β· πŸ“¦ 120 Β· πŸ“‹ 820 - 12% open Β· ⏱️ 29.10.2024): @@ -7752,23 +7778,7 @@ _Libraries for connecting to, operating, and querying databases._ pip install avalanche-lib ```
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Prince (πŸ₯ˆ28 Β· ⭐ 1.3K) - Multivariate exploratory data analysis in Python PCA, CA, MCA, MFA,.. MIT - -- [GitHub](https://github.com/MaxHalford/prince) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 180 Β· πŸ“¦ 650 Β· πŸ“‹ 130 - 0% open Β· ⏱️ 24.12.2024): - - ``` - git clone https://github.com/MaxHalford/prince - ``` -- [PyPi](https://pypi.org/project/prince) (πŸ“₯ 130K / month Β· πŸ“¦ 18 Β· ⏱️ 17.11.2024): - ``` - pip install prince - ``` -- [Conda](https://anaconda.org/conda-forge/prince-factor-analysis) (πŸ“₯ 22K Β· ⏱️ 16.06.2023): - ``` - conda install -c conda-forge prince-factor-analysis - ``` -
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kmodes (πŸ₯ˆ28 Β· ⭐ 1.2K Β· πŸ’€) - Python implementations of the k-modes and k-prototypes clustering.. MIT +
kmodes (πŸ₯‰28 Β· ⭐ 1.2K Β· πŸ’€) - Python implementations of the k-modes and k-prototypes clustering.. MIT - [GitHub](https://github.com/nicodv/kmodes) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 420 Β· πŸ“¦ 2.9K Β· πŸ“‹ 160 - 10% open Β· ⏱️ 17.01.2024): @@ -7784,14 +7794,14 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge kmodes ```
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pyclustering (πŸ₯ˆ28 Β· ⭐ 1.2K Β· πŸ’€) - pyclustering is a Python, C++ data mining library. BSD-3 +
pyclustering (πŸ₯‰28 Β· ⭐ 1.2K Β· πŸ’€) - pyclustering is a Python, C++ data mining library. BSD-3 - [GitHub](https://github.com/annoviko/pyclustering) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 250 Β· πŸ“₯ 650 Β· πŸ“¦ 780 Β· πŸ“‹ 670 - 11% open Β· ⏱️ 08.02.2024): ``` git clone https://github.com/annoviko/pyclustering ``` -- [PyPi](https://pypi.org/project/pyclustering) (πŸ“₯ 26K / month Β· πŸ“¦ 32 Β· ⏱️ 25.11.2020): +- [PyPi](https://pypi.org/project/pyclustering) (πŸ“₯ 30K / month Β· πŸ“¦ 32 Β· ⏱️ 25.11.2020): ``` pip install pyclustering ``` @@ -7800,14 +7810,26 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge pyclustering ```
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Trax (πŸ₯‰27 Β· ⭐ 8.1K) - Trax Deep Learning with Clear Code and Speed. Apache-2 + +- [GitHub](https://github.com/google/trax) (πŸ‘¨β€πŸ’» 80 Β· πŸ”€ 810 Β· πŸ“¦ 200 Β· πŸ“‹ 250 - 49% open Β· ⏱️ 08.01.2025): + + ``` + git clone https://github.com/google/trax + ``` +- [PyPi](https://pypi.org/project/trax) (πŸ“₯ 3.9K / month Β· πŸ“¦ 1 Β· ⏱️ 26.10.2021): + ``` + pip install trax + ``` +
adapter-transformers (πŸ₯‰27 Β· ⭐ 2.6K) - A Unified Library for Parameter-Efficient and Modular.. Apache-2 huggingface -- [GitHub](https://github.com/adapter-hub/adapters) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 350 Β· πŸ“¦ 140 Β· πŸ“‹ 400 - 11% open Β· ⏱️ 29.12.2024): +- [GitHub](https://github.com/adapter-hub/adapters) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 350 Β· πŸ“¦ 150 Β· πŸ“‹ 400 - 10% open Β· ⏱️ 08.01.2025): ``` git clone https://github.com/Adapter-Hub/adapter-transformers ``` -- [PyPi](https://pypi.org/project/adapter-transformers) (πŸ“₯ 3.9K / month Β· πŸ“¦ 12 Β· ⏱️ 07.07.2024): +- [PyPi](https://pypi.org/project/adapter-transformers) (πŸ“₯ 4.1K / month Β· πŸ“¦ 12 Β· ⏱️ 07.07.2024): ``` pip install adapter-transformers ``` @@ -7819,21 +7841,25 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/sepandhaghighi/pycm ``` -- [PyPi](https://pypi.org/project/pycm) (πŸ“₯ 39K / month Β· πŸ“¦ 24 Β· ⏱️ 17.10.2024): +- [PyPi](https://pypi.org/project/pycm) (πŸ“₯ 37K / month Β· πŸ“¦ 24 Β· ⏱️ 17.10.2024): ``` pip install pycm ```
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AugLy (πŸ₯‰25 Β· ⭐ 5K) - A data augmentations library for audio, image, text, and video. MIT +
metric-learn (πŸ₯‰26 Β· ⭐ 1.4K) - Metric learning algorithms in Python. MIT -- [GitHub](https://github.com/facebookresearch/AugLy) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 300 Β· πŸ“¦ 160 Β· πŸ“‹ 78 - 30% open Β· ⏱️ 21.11.2024): +- [GitHub](https://github.com/scikit-learn-contrib/metric-learn) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 230 Β· πŸ“¦ 440 Β· πŸ“‹ 170 - 30% open Β· ⏱️ 03.08.2024): ``` - git clone https://github.com/facebookresearch/AugLy + git clone https://github.com/scikit-learn-contrib/metric-learn ``` -- [PyPi](https://pypi.org/project/augly) (πŸ“₯ 3.3K / month Β· πŸ“¦ 4 Β· ⏱️ 05.12.2023): +- [PyPi](https://pypi.org/project/metric-learn) (πŸ“₯ 4.7K / month Β· πŸ“¦ 7 Β· ⏱️ 09.10.2023): ``` - pip install augly + pip install metric-learn + ``` +- [Conda](https://anaconda.org/conda-forge/metric-learn) (πŸ“₯ 14K Β· ⏱️ 06.01.2025): + ``` + conda install -c conda-forge metric-learn ```
Feature Engine (πŸ₯‰25 Β· ⭐ 1.9K) - Feature engineering package with sklearn like functionality. BSD-3 @@ -7843,7 +7869,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/solegalli/feature_engine ``` -- [PyPi](https://pypi.org/project/feature_engine) (πŸ“₯ 190K / month Β· πŸ“¦ 170 Β· ⏱️ 03.11.2024): +- [PyPi](https://pypi.org/project/feature_engine) (πŸ“₯ 180K / month Β· πŸ“¦ 170 Β· ⏱️ 03.11.2024): ``` pip install feature_engine ``` @@ -7852,30 +7878,26 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge feature_engine ```
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metric-learn (πŸ₯‰25 Β· ⭐ 1.4K) - Metric learning algorithms in Python. MIT +
AugLy (πŸ₯‰24 Β· ⭐ 5K) - A data augmentations library for audio, image, text, and video. MIT -- [GitHub](https://github.com/scikit-learn-contrib/metric-learn) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 230 Β· πŸ“¦ 440 Β· πŸ“‹ 170 - 30% open Β· ⏱️ 03.08.2024): +- [GitHub](https://github.com/facebookresearch/AugLy) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 300 Β· πŸ“¦ 160 Β· πŸ“‹ 78 - 30% open Β· ⏱️ 21.11.2024): ``` - git clone https://github.com/scikit-learn-contrib/metric-learn - ``` -- [PyPi](https://pypi.org/project/metric-learn) (πŸ“₯ 5K / month Β· πŸ“¦ 7 Β· ⏱️ 09.10.2023): - ``` - pip install metric-learn + git clone https://github.com/facebookresearch/AugLy ``` -- [Conda](https://anaconda.org/conda-forge/metric-learn) (πŸ“₯ 14K Β· ⏱️ 09.10.2023): +- [PyPi](https://pypi.org/project/augly) (πŸ“₯ 3.3K / month Β· πŸ“¦ 4 Β· ⏱️ 05.12.2023): ``` - conda install -c conda-forge metric-learn + pip install augly ```
BioPandas (πŸ₯‰24 Β· ⭐ 720) - Working with molecular structures in pandas DataFrames. BSD-3 -- [GitHub](https://github.com/BioPandas/biopandas) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 120 Β· πŸ“¦ 320 Β· πŸ“‹ 59 - 35% open Β· ⏱️ 01.08.2024): +- [GitHub](https://github.com/BioPandas/biopandas) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 120 Β· πŸ“¦ 330 Β· πŸ“‹ 59 - 35% open Β· ⏱️ 01.08.2024): ``` git clone https://github.com/rasbt/biopandas ``` -- [PyPi](https://pypi.org/project/biopandas) (πŸ“₯ 7.7K / month Β· πŸ“¦ 38 Β· ⏱️ 01.08.2024): +- [PyPi](https://pypi.org/project/biopandas) (πŸ“₯ 6.6K / month Β· πŸ“¦ 38 Β· ⏱️ 01.08.2024): ``` pip install biopandas ``` @@ -7891,7 +7913,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/Project-MONAI/MONAILabel ``` -- [PyPi](https://pypi.org/project/monailabel-weekly) (πŸ“₯ 2.3K / month Β· ⏱️ 01.10.2023): +- [PyPi](https://pypi.org/project/monailabel-weekly) (πŸ“₯ 2.2K / month Β· ⏱️ 01.10.2023): ``` pip install monailabel-weekly ``` @@ -7903,7 +7925,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/astroML/astroML ``` -- [PyPi](https://pypi.org/project/astroML) (πŸ“₯ 1.4K / month Β· πŸ“¦ 16 Β· ⏱️ 01.03.2022): +- [PyPi](https://pypi.org/project/astroML) (πŸ“₯ 1.2K / month Β· πŸ“¦ 16 Β· ⏱️ 01.03.2022): ``` pip install astroML ``` @@ -7912,28 +7934,28 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge astroml ```
-
benchmark_VAE (πŸ₯‰21 Β· ⭐ 1.9K) - Unifying Variational Autoencoder (VAE) implementations.. Apache-2 +
SUOD (πŸ₯‰21 Β· ⭐ 380 Β· πŸ’€) - (MLSys 21) An Acceleration System for Large-scare Unsupervised.. BSD-2 -- [GitHub](https://github.com/clementchadebec/benchmark_VAE) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 160 Β· πŸ“¦ 37 Β· πŸ“‹ 69 - 36% open Β· ⏱️ 17.07.2024): +- [GitHub](https://github.com/yzhao062/SUOD) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 49 Β· πŸ“¦ 540 Β· πŸ“‹ 15 - 80% open Β· ⏱️ 08.02.2024): ``` - git clone https://github.com/clementchadebec/benchmark_VAE + git clone https://github.com/yzhao062/SUOD ``` -- [PyPi](https://pypi.org/project/pythae) (πŸ“₯ 1.2K / month Β· ⏱️ 06.09.2023): +- [PyPi](https://pypi.org/project/suod) (πŸ“₯ 10K / month Β· πŸ“¦ 8 Β· ⏱️ 08.02.2024): ``` - pip install pythae + pip install suod ```
-
SUOD (πŸ₯‰21 Β· ⭐ 380 Β· πŸ’€) - (MLSys 21) An Acceleration System for Large-scare Unsupervised.. BSD-2 +
benchmark_VAE (πŸ₯‰20 Β· ⭐ 1.9K) - Unifying Variational Autoencoder (VAE) implementations.. Apache-2 -- [GitHub](https://github.com/yzhao062/SUOD) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 49 Β· πŸ“¦ 540 Β· πŸ“‹ 15 - 80% open Β· ⏱️ 08.02.2024): +- [GitHub](https://github.com/clementchadebec/benchmark_VAE) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 170 Β· πŸ“¦ 37 Β· πŸ“‹ 69 - 34% open Β· ⏱️ 17.07.2024): ``` - git clone https://github.com/yzhao062/SUOD + git clone https://github.com/clementchadebec/benchmark_VAE ``` -- [PyPi](https://pypi.org/project/suod) (πŸ“₯ 10K / month Β· πŸ“¦ 8 Β· ⏱️ 08.02.2024): +- [PyPi](https://pypi.org/project/pythae) (πŸ“₯ 1K / month Β· ⏱️ 06.09.2023): ``` - pip install suod + pip install pythae ```
pykale (πŸ₯‰20 Β· ⭐ 450) - Knowledge-Aware machine LEarning (KALE): accessible machine learning.. MIT @@ -7943,19 +7965,19 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/pykale/pykale ``` -- [PyPi](https://pypi.org/project/pykale) (πŸ“₯ 200 / month Β· ⏱️ 12.04.2022): +- [PyPi](https://pypi.org/project/pykale) (πŸ“₯ 190 / month Β· ⏱️ 12.04.2022): ``` pip install pykale ```
pymdp (πŸ₯‰19 Β· ⭐ 490) - A Python implementation of active inference for Markov Decision Processes. MIT -- [GitHub](https://github.com/infer-actively/pymdp) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 95 Β· πŸ“¦ 14 Β· πŸ“‹ 45 - 40% open Β· ⏱️ 26.11.2024): +- [GitHub](https://github.com/infer-actively/pymdp) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 96 Β· πŸ“¦ 14 Β· πŸ“‹ 45 - 40% open Β· ⏱️ 26.11.2024): ``` git clone https://github.com/infer-actively/pymdp ``` -- [PyPi](https://pypi.org/project/inferactively-pymdp) (πŸ“₯ 5.1K / month Β· ⏱️ 08.12.2022): +- [PyPi](https://pypi.org/project/inferactively-pymdp) (πŸ“₯ 3.5K / month Β· ⏱️ 08.12.2022): ``` pip install inferactively-pymdp ``` @@ -7967,24 +7989,24 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/facebookresearch/NeuralCompression ``` -- [PyPi](https://pypi.org/project/neuralcompression) (πŸ“₯ 170 / month Β· ⏱️ 03.10.2023): +- [PyPi](https://pypi.org/project/neuralcompression) (πŸ“₯ 160 / month Β· ⏱️ 03.10.2023): ``` pip install neuralcompression ```
Show 25 hidden projects... -- Cython BLIS (πŸ₯ˆ31 Β· ⭐ 220) - Fast matrix-multiplication as a self-contained Python library no.. BSD-3 +- Cython BLIS (πŸ₯ˆ32 Β· ⭐ 220) - Fast matrix-multiplication as a self-contained Python library no.. BSD-3 - cleanlab (πŸ₯ˆ30 Β· ⭐ 9.9K) - The standard data-centric AI package for data quality and machine.. ❗️AGPL-3.0 - alibi-detect (πŸ₯ˆ29 Β· ⭐ 2.3K) - Algorithms for outlier, adversarial and drift detection. ❗️Intel -- pysc2 (πŸ₯ˆ28 Β· ⭐ 8K Β· πŸ’€) - StarCraft II Learning Environment. Apache-2 -- modAL (πŸ₯ˆ28 Β· ⭐ 2.2K Β· πŸ’€) - A modular active learning framework for Python. MIT +- pysc2 (πŸ₯‰28 Β· ⭐ 8K Β· πŸ’€) - StarCraft II Learning Environment. Apache-2 +- modAL (πŸ₯‰28 Β· ⭐ 2.2K Β· πŸ’€) - A modular active learning framework for Python. MIT - gplearn (πŸ₯‰27 Β· ⭐ 1.6K Β· πŸ’€) - Genetic Programming in Python, with a scikit-learn inspired API. BSD-3 - minisom (πŸ₯‰27 Β· ⭐ 1.5K) - MiniSom is a minimalistic implementation of the Self Organizing.. ❗️CC-BY-3.0 - PySwarms (πŸ₯‰27 Β· ⭐ 1.3K Β· πŸ’€) - A research toolkit for particle swarm optimization in Python. MIT - metricflow (πŸ₯‰25 Β· ⭐ 1.2K) - MetricFlow allows you to define, build, and maintain metrics.. ❗Unlicensed +- findspark (πŸ₯‰25 Β· ⭐ 510 Β· πŸ’€) - Find pyspark to make it importable. BSD-3 - Mars (πŸ₯‰24 Β· ⭐ 2.7K Β· πŸ’€) - Mars is a tensor-based unified framework for large-scale data.. Apache-2 -- findspark (πŸ₯‰24 Β· ⭐ 510 Β· πŸ’€) - Find pyspark to make it importable. BSD-3 - pandas-ai (πŸ₯‰22 Β· ⭐ 14K) - Chat with your database (SQL, CSV, pandas, polars, mongodb,.. ❗Unlicensed - opyrator (πŸ₯‰22 Β· ⭐ 3.1K Β· πŸ’€) - Turns your machine learning code into microservices with web API,.. MIT - mlens (πŸ₯‰22 Β· ⭐ 850 Β· πŸ’€) - ML-Ensemble high performance ensemble learning. MIT @@ -7994,7 +8016,7 @@ _Libraries for connecting to, operating, and querying databases._ - rrcf (πŸ₯‰20 Β· ⭐ 500 Β· πŸ’€) - Implementation of the Robust Random Cut Forest algorithm for anomaly.. MIT - apricot (πŸ₯‰20 Β· ⭐ 500 Β· πŸ’€) - apricot implements submodular optimization for the purpose of.. MIT - scikit-rebate (πŸ₯‰20 Β· ⭐ 420 Β· πŸ’€) - A scikit-learn-compatible Python implementation of.. MIT -- baikal (πŸ₯‰18 Β· ⭐ 590 Β· πŸ’€) - A graph-based functional API for building complex scikit-learn.. BSD-3 +- baikal (πŸ₯‰19 Β· ⭐ 590 Β· πŸ’€) - A graph-based functional API for building complex scikit-learn.. BSD-3 - KD-Lib (πŸ₯‰16 Β· ⭐ 610 Β· πŸ’€) - A Pytorch Knowledge Distillation library for benchmarking and.. MIT - pandas-ml (πŸ₯‰16 Β· ⭐ 320 Β· πŸ’€) - pandas, scikit-learn, xgboost and seaborn integration. BSD-3 - nylon (πŸ₯‰14 Β· ⭐ 83 Β· πŸ’€) - An intelligent, flexible grammar of machine learning. MIT diff --git a/history/2025-01-09_changes.md b/history/2025-01-09_changes.md new file mode 100644 index 0000000..2655c74 --- /dev/null +++ b/history/2025-01-09_changes.md @@ -0,0 +1,30 @@ +## πŸ“ˆ Trending Up + +_Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._ + +- Matplotlib (πŸ₯‡49 Β· ⭐ 21K Β· πŸ“ˆ) - matplotlib: plotting with Python. ❗Unlicensed +- pydeck (πŸ₯‡43 Β· ⭐ 12K Β· πŸ“ˆ) - WebGL2 powered visualization framework. MIT +- TensorFlow Datasets (πŸ₯‡39 Β· ⭐ 4.3K Β· πŸ“ˆ) - TFDS is a collection of datasets ready to use with.. Apache-2 +- Nilearn (πŸ₯‡39 Β· ⭐ 1.2K Β· πŸ“ˆ) - Machine learning for NeuroImaging in Python. BSD-3 +- ChatterBot (πŸ₯ˆ36 Β· ⭐ 14K Β· πŸ“ˆ) - ChatterBot is a machine learning, conversational dialog engine.. BSD-3 +- snowballstemmer (πŸ₯ˆ31 Β· ⭐ 770 Β· πŸ“ˆ) - Snowball compiler and stemming algorithms. BSD-3 +- Essentia (πŸ₯‰29 Β· ⭐ 2.9K Β· πŸ“ˆ) - C++ library for audio and music analysis, description and.. ❗️AGPL-3.0 +- livelossplot (πŸ₯‰28 Β· ⭐ 1.3K Β· πŸ“ˆ) - Live training loss plot in Jupyter Notebook for Keras,.. MIT +- knockknock (πŸ₯‰27 Β· ⭐ 2.8K Β· πŸ’€) - Knock Knock: Get notified when your training ends with only two.. MIT +- Saliency (πŸ₯‰22 Β· ⭐ 960 Β· πŸ’€) - Framework-agnostic implementation for state-of-the-art.. Apache-2 + +## πŸ“‰ Trending Down + +_Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._ + +- XGBoost (πŸ₯‡45 Β· ⭐ 26K Β· πŸ“‰) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT.. Apache-2 +- spaCy (πŸ₯‡43 Β· ⭐ 31K Β· πŸ“‰) - Industrial-strength Natural Language Processing (NLP) in Python. MIT +- Tensorboard (πŸ₯‡42 Β· ⭐ 6.8K Β· πŸ“‰) - TensorFlows Visualization Toolkit. Apache-2 +- SageMaker SDK (πŸ₯ˆ40 Β· ⭐ 2.1K Β· πŸ“‰) - A library for training and deploying machine learning.. Apache-2 +- PyTorch Geometric (πŸ₯‡39 Β· ⭐ 22K Β· πŸ“‰) - Graph Neural Network Library for PyTorch. MIT +- Kornia (πŸ₯ˆ37 Β· ⭐ 10K Β· πŸ“‰) - Geometric Computer Vision Library for Spatial AI. Apache-2 +- imageio (πŸ₯ˆ37 Β· ⭐ 1.5K Β· πŸ“‰) - Python library for reading and writing image data. BSD-2 +- PennyLane (πŸ₯‡36 Β· ⭐ 2.4K Β· πŸ“‰) - PennyLane is a cross-platform Python library for quantum.. Apache-2 +- PySyft (πŸ₯‡34 Β· ⭐ 9.6K Β· πŸ“‰) - Perform data science on data that remains in someone elses.. Apache-2 +- shapash (πŸ₯ˆ29 Β· ⭐ 2.8K Β· πŸ“‰) - Shapash: User-friendly Explainability and Interpretability.. Apache-2 + diff --git a/history/2025-01-09_projects.csv b/history/2025-01-09_projects.csv new file mode 100644 index 0000000..3a95d5c --- /dev/null +++ b/history/2025-01-09_projects.csv @@ -0,0 +1,921 @@ +,name,github_id,category,resource,github_url,homepage,license,created_at,updated_at,last_commit_pushed_at,commit_count,recent_commit_count,fork_count,watchers_count,pr_count,open_issue_count,closed_issue_count,star_count,description,contributor_count,projectrank,show,latest_stable_release_published_at,latest_stable_release_number,release_count,pypi_id,conda_id,dockerhub_id,docs_url,labels,dependent_project_count,github_dependent_project_count,pypi_url,pypi_latest_release_published_at,pypi_dependent_project_count,pypi_monthly_downloads,monthly_downloads,conda_url,conda_latest_release_published_at,conda_total_downloads,dockerhub_url,dockerhub_latest_release_published_at,dockerhub_stars,dockerhub_pulls,projectrank_placing,github_release_downloads,trending,updated_github_id,npm_id,npm_url,npm_latest_release_published_at,npm_dependent_project_count,npm_monthly_downloads,helm_id,brew_id,apt_id,yum_id,conda_dependent_project_count,maven_id,maven_url,maven_latest_release_published_at,maven_dependent_project_count,dnf_id,yay_id,snap_id +0,ANN Benchmarks,erikbern/ann-benchmarks,nn-search,True,https://github.com/erikbern/ann-benchmarks,https://github.com/erikbern/ann-benchmarks,MIT,2015-05-28 13:21:43.000,2024-12-23 01:23:30.000000,2024-12-23 01:23:30,1570.0,3.0,739.0,119.0,345.0,71.0,152.0,5046.0,Benchmarks of approximate nearest neighbor libraries in Python.,108.0,0,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +1,best-of-web-python - Web Scraping,ml-tooling/best-of-web-python,web-scraping,True,https://github.com/ml-tooling/best-of-web-python,https://github.com/ml-tooling/best-of-web-python#web-scraping--crawling,CC-BY-SA-4.0,2021-01-05 13:09:27.000,2024-06-07 15:14:35.000000,2024-06-06 19:06:33,346.0,,173.0,58.0,205.0,,3.0,2390.0,Collection of web-scraping and crawling libraries.,16.0,0,True,2024-06-06 19:06:38.000,2024.06.06,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +2,best-of-python - Data Extraction,ml-tooling/best-of-python,data-loading,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#data-loading--extraction,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2024-08-14 02:31:07.000000,2024-08-14 02:31:07,360.0,,257.0,96.0,199.0,7.0,6.0,3763.0,Collection of data-loading and -extraction libraries.,12.0,0,True,2024-06-06 14:07:12.000,2024.06.06,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +3,best-of-python - DB Clients,ml-tooling/best-of-python,db-clients,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#database-clients,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2024-08-14 02:31:07.000000,2024-08-14 02:31:07,360.0,,257.0,96.0,199.0,7.0,6.0,3763.0,Collection of database clients for python.,12.0,0,True,2024-06-06 14:07:12.000,2024.06.06,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +4,best-of-python - Data Containers,ml-tooling/best-of-python,data-containers,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#data-containers--dataframes,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2024-08-14 02:31:07.000000,2024-08-14 02:31:07,360.0,,257.0,96.0,199.0,7.0,6.0,3763.0,"Collection of data-container, dataframe, and pandas-utility libraries.",12.0,0,True,2024-06-06 14:07:12.000,2024.06.06,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +5,best-of-python - Data Pipelines,ml-tooling/best-of-python,data-pipelines,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#data-pipelines--streaming,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2024-08-14 02:31:07.000000,2024-08-14 02:31:07,360.0,,257.0,96.0,199.0,7.0,6.0,3763.0,"Libraries for data batch- and stream-processing, workflow automation, job scheduling, and other data pipeline tasks.",12.0,0,True,2024-06-06 14:07:12.000,2024.06.06,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +6,Tensorflow,tensorflow/tensorflow,ml-frameworks,,https://github.com/tensorflow/tensorflow,https://github.com/tensorflow/tensorflow,Apache-2.0,2015-11-07 01:19:20.000,2025-01-09 13:54:53.000000,2025-01-09 13:45:44,174365.0,3608.0,74396.0,7541.0,42585.0,6423.0,39302.0,189832.0,An Open Source Machine Learning Framework for Everyone.,4753.0,55,True,2024-10-25 00:14:11.000,2.18.0,202.0,tensorflow,conda-forge/tensorflow,tensorflow/tensorflow,https://www.tensorflow.org/overview,['tensorflow'],458561.0,450484.0,https://pypi.org/project/tensorflow,2024-10-25 00:14:11.000,8077.0,18729609.0,19542721.0,https://anaconda.org/conda-forge/tensorflow,2024-10-17 06:34:48.464,5214884.0,https://hub.docker.com/r/tensorflow/tensorflow,2025-01-09 13:51:07.915141,2654.0,78819618.0,1.0,,,,,,,,,,,,,,,,,,,, +7,PyTorch,pytorch/pytorch,ml-frameworks,,https://github.com/pytorch/pytorch,https://github.com/pytorch/pytorch,BSD-3-Clause,2016-08-13 05:26:41.000,2025-01-09 14:12:15.000000,2025-01-09 06:53:25,82960.0,3550.0,22762.0,1757.0,96079.0,15619.0,33581.0,85674.0,Tensors and Dynamic neural networks in Python with strong GPU acceleration.,5351.0,55,True,2024-10-29 17:58:24.000,2.5.1,57.0,torch,pytorch/pytorch,,https://pytorch.org/docs/stable/index.html,['pytorch'],631411.0,611552.0,https://pypi.org/project/torch,2024-10-29 17:32:42.000,19859.0,28919436.0,29553417.0,https://anaconda.org/pytorch/pytorch,2024-10-28 23:02:38.194,25330858.0,,,,,1.0,71002.0,,,,,,,,,,,,,,,,,,, +8,scikit-learn,scikit-learn/scikit-learn,ml-frameworks,,https://github.com/scikit-learn/scikit-learn,https://github.com/scikit-learn/scikit-learn,BSD-3-Clause,2010-08-17 09:43:38.000,2025-01-09 11:24:45.000000,2025-01-09 11:24:43,32059.0,289.0,25467.0,2145.0,18225.0,2104.0,9769.0,60691.0,scikit-learn: machine learning in Python.,3243.0,53,True,2024-12-09 18:30:05.000,1.6.0,83.0,scikit-learn,conda-forge/scikit-learn,,,['sklearn'],1040944.0,1014706.0,https://pypi.org/project/scikit-learn,2024-12-09 16:01:02.000,26238.0,71760300.0,72353277.0,https://anaconda.org/conda-forge/scikit-learn,2024-12-09 17:45:36.628,33206242.0,,,,,1.0,1037.0,,,,,,,,,,,,,,,,,,, +9,transformers,huggingface/transformers,nlp,,https://github.com/huggingface/transformers,https://github.com/huggingface/transformers,Apache-2.0,2018-10-29 13:56:00.000,2025-01-09 14:19:45.000000,2025-01-09 13:25:36,17734.0,585.0,27481.0,1127.0,18627.0,1536.0,15444.0,137358.0,"Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.",3004.0,52,True,2024-12-17 15:42:54.000,4.47.1,166.0,transformers,conda-forge/transformers,,,"['pytorch', 'tensorflow']",274250.0,267153.0,https://pypi.org/project/transformers,2024-12-17 15:42:35.000,7097.0,39730410.0,39774598.0,https://anaconda.org/conda-forge/transformers,2024-12-18 05:19:05.387,2386184.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +10,scipy,scipy/scipy,others,,https://github.com/scipy/scipy,https://github.com/scipy/scipy,BSD-3-Clause,2011-03-09 18:52:03.000,2025-01-09 13:23:02.000000,2025-01-09 13:23:02,34342.0,713.0,5226.0,350.0,11731.0,1724.0,9082.0,13267.0,"Ecosystem of open-source software for mathematics, science, and engineering.",1728.0,50,True,2025-01-03 16:20:32.000,1.15.0,111.0,scipy,conda-forge/scipy,,,,1241651.0,1192686.0,https://pypi.org/project/scipy,2025-01-03 14:30:00.000,48965.0,109347025.0,110479794.0,https://anaconda.org/conda-forge/scipy,2025-01-08 20:21:47.925,56443315.0,,,,,1.0,445001.0,,,,,,,,,,,,,,,,,,, +11,Matplotlib,matplotlib/matplotlib,data-viz,,https://github.com/matplotlib/matplotlib,https://github.com/matplotlib/matplotlib,,2011-02-19 03:17:12.000,2025-01-08 23:53:44.000000,2025-01-08 22:41:13,51814.0,581.0,7684.0,593.0,18753.0,1601.0,9430.0,20560.0,matplotlib: plotting with Python.,1762.0,49,True,2024-12-14 06:30:36.000,3.10.0,131.0,matplotlib,conda-forge/matplotlib,,,,1545531.0,1492548.0,https://pypi.org/project/matplotlib,2024-12-14 06:30:36.000,52983.0,62767556.0,63269805.0,https://anaconda.org/conda-forge/matplotlib,2024-12-16 20:44:59.565,27623720.0,,,,,1.0,,1.0,,,,,,,,,,,,,,,,,, +12,SymPy,sympy/sympy,others,,https://github.com/sympy/sympy,https://github.com/sympy/sympy,BSD-3-Clause,2010-04-30 20:37:14.000,2025-01-09 14:25:19.000000,2025-01-09 14:25:19,59355.0,333.0,4458.0,293.0,13603.0,5148.0,8960.0,13191.0,A computer algebra system written in pure Python.,1344.0,49,True,2024-09-18 21:54:45.000,1.13.3,64.0,sympy,conda-forge/sympy,,,,210427.0,206927.0,https://pypi.org/project/sympy,2024-09-18 21:54:23.000,3500.0,25762252.0,25900477.0,https://anaconda.org/conda-forge/sympy,2025-01-07 11:14:01.011,7516202.0,,,,,1.0,553114.0,,,,,,,,,,,,,,,,,,, +13,Keras,keras-team/keras,ml-frameworks,,https://github.com/keras-team/keras,https://github.com/keras-team/keras,Apache-2.0,2015-03-28 00:35:42.000,2025-01-09 00:22:54.000000,2025-01-08 17:54:18,11280.0,251.0,19477.0,1917.0,7706.0,254.0,12057.0,62342.0,Deep Learning for humans.,1362.0,48,True,2025-01-07 18:27:26.000,3.8.0,105.0,keras,conda-forge/keras,,https://keras.io,['tensorflow'],1698.0,,https://pypi.org/project/keras,2025-01-07 18:27:14.000,1698.0,12543055.0,12613580.0,https://anaconda.org/conda-forge/keras,2024-12-10 19:57:35.430,3878888.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +14,Pillow,python-pillow/Pillow,image,,https://github.com/python-pillow/Pillow,https://github.com/python-pillow/Pillow,PIL,2012-07-24 21:38:39.000,2025-01-09 12:18:03.000000,2025-01-09 12:18:02,19062.0,360.0,2243.0,219.0,5263.0,125.0,3147.0,12455.0,Python Imaging Library (Fork).,484.0,48,True,2025-01-02 08:20:18.000,11.1.0,100.0,Pillow,conda-forge/pillow,,,,2007527.0,1996616.0,https://pypi.org/project/Pillow,2025-01-02 08:10:16.000,10911.0,106178298.0,107072967.0,https://anaconda.org/conda-forge/pillow,2025-01-03 20:03:34.476,48312175.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +15,Streamlit,streamlit/streamlit,others,,https://github.com/streamlit/streamlit,https://github.com/streamlit/streamlit,Apache-2.0,2019-08-24 00:14:52.000,2025-01-09 15:02:28.000000,2025-01-09 12:30:15,6952.0,240.0,3155.0,323.0,5295.0,1000.0,3801.0,36600.0,Streamlit A faster way to build and share data apps.,275.0,46,True,2024-12-13 21:22:19.000,1.41.1,233.0,streamlit,,,,,658987.0,655979.0,https://pypi.org/project/streamlit,2024-12-13 21:22:11.000,3008.0,5703395.0,5703395.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +16,Ray,ray-project/ray,distributed-ml,,https://github.com/ray-project/ray,https://github.com/ray-project/ray,Apache-2.0,2016-10-25 19:38:30.000,2025-01-09 11:57:38.000000,2025-01-09 11:57:38,23543.0,773.0,5918.0,479.0,30221.0,4265.0,15577.0,34813.0,Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML..,1125.0,46,True,2024-12-04 00:01:15.000,ray-2.40.0,120.0,ray,conda-forge/ray-tune,,,,20894.0,20074.0,https://pypi.org/project/ray,2024-12-03 23:45:31.000,820.0,5237206.0,5247767.0,https://anaconda.org/conda-forge/ray-tune,2024-12-20 21:34:53.315,517398.0,,,,,1.0,248.0,,,,,,,,,,,,,,,,,,, +17,jax,google/jax,ml-frameworks,,https://github.com/jax-ml/jax,https://github.com/jax-ml/jax,Apache-2.0,2018-10-25 21:25:02.000,2025-01-09 13:54:01.000000,2025-01-09 02:34:10,24980.0,1436.0,2847.0,336.0,16987.0,1477.0,4366.0,30939.0,"Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.",812.0,46,True,2024-12-17 23:03:44.000,0.4.38,172.0,jax,conda-forge/jaxlib,,,,37336.0,35266.0,https://pypi.org/project/jax,2024-12-17 23:03:44.000,2070.0,4516377.0,4553643.0,https://anaconda.org/conda-forge/jaxlib,2025-01-06 04:26:25.655,2049662.0,,,,,1.0,,,jax-ml/jax,,,,,,,,,,,,,,,,, +18,Plotly,plotly/plotly.py,data-viz,,https://github.com/plotly/plotly.py,https://github.com/plotly/plotly.py,MIT,2013-11-21 05:53:08.000,2025-01-07 19:34:23.000000,2024-12-17 17:18:05,7386.0,460.0,2558.0,276.0,1769.0,580.0,2491.0,16547.0,The interactive graphing library for Python This project now includes Plotly Express!.,281.0,46,True,2024-09-12 15:42:27.000,5.24.1,301.0,plotly,conda-forge/plotly,,,,353805.0,347476.0,https://pypi.org/project/plotly,2024-09-12 15:36:24.000,6320.0,17044410.0,17222662.0,https://anaconda.org/conda-forge/plotly,2024-12-09 08:37:37.782,7987939.0,,,,,1.0,,,,plotlywidget,https://www.npmjs.com/package/plotlywidget,2021-01-12 16:09:46.133,9.0,35611.0,,,,,,,,,,,, +19,XGBoost,dmlc/xgboost,ml-frameworks,,https://github.com/dmlc/xgboost,https://github.com/dmlc/xgboost,Apache-2.0,2014-02-06 17:28:03.000,2025-01-07 19:30:35.000000,2025-01-07 19:30:34,7288.0,160.0,8735.0,910.0,5786.0,458.0,4954.0,26463.0,"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and..",657.0,45,True,2024-11-26 10:23:00.000,2.1.3,85.0,xgboost,conda-forge/xgboost,,https://xgboost.readthedocs.io/en/latest/,,127042.0,124931.0,https://pypi.org/project/xgboost,2024-11-26 10:23:00.000,2111.0,23482983.0,23587032.0,https://anaconda.org/conda-forge/xgboost,2024-12-03 00:14:17.609,5613364.0,,,,,1.0,12855.0,-1.0,,,,,,,,,,,,,,,,,, +20,PaddlePaddle,PaddlePaddle/Paddle,ml-frameworks,,https://github.com/PaddlePaddle/Paddle,https://github.com/PaddlePaddle/Paddle,Apache-2.0,2016-08-15 06:59:08.000,2025-01-09 13:49:21.000000,2025-01-09 10:55:29,52550.0,1358.0,5642.0,717.0,52000.0,1788.0,17527.0,22395.0,PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice &.,1344.0,45,True,2024-09-13 08:31:46.000,2.6.2,72.0,paddlepaddle,,,,['paddle'],6943.0,6735.0,https://pypi.org/project/paddlepaddle,2025-01-09 02:42:38.000,208.0,305905.0,306057.0,,,,,,,,1.0,15424.0,,,,,,,,,,,,,,,,,,, +21,Bokeh,bokeh/bokeh,data-viz,,https://github.com/bokeh/bokeh,https://github.com/bokeh/bokeh,BSD-3-Clause,2012-03-26 15:40:01.000,2025-01-08 23:25:14.000000,2025-01-08 20:56:46,20659.0,44.0,4188.0,439.0,6230.0,785.0,7019.0,19515.0,"Interactive Data Visualization in the browser, from Python.",705.0,45,True,2024-12-03 15:39:22.000,3.6.2,223.0,bokeh,conda-forge/bokeh,,,,98129.0,96334.0,https://pypi.org/project/bokeh,2024-12-03 23:43:55.000,1795.0,3330197.0,3614878.0,https://anaconda.org/conda-forge/bokeh,2024-12-09 14:35:07.548,15657472.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +22,StatsModels,statsmodels/statsmodels,ml-frameworks,,https://github.com/statsmodels/statsmodels,https://github.com/statsmodels/statsmodels,BSD-3-Clause,2011-06-12 17:04:50.000,2025-01-07 18:32:44.000000,2025-01-07 18:32:43,15639.0,131.0,3091.0,288.0,3974.0,2851.0,2813.0,10335.0,Statsmodels: statistical modeling and econometrics in Python.,448.0,45,True,2024-10-03 16:13:31.000,0.14.4,39.0,statsmodels,conda-forge/statsmodels,,,,153312.0,148843.0,https://pypi.org/project/statsmodels,2024-10-03 16:13:31.000,4469.0,14102029.0,14403444.0,https://anaconda.org/conda-forge/statsmodels,2024-10-03 20:40:26.151,16577876.0,,,,,1.0,35.0,,,,,,,,,,,,,,,,,,, +23,PySpark,apache/spark,ml-frameworks,,https://github.com/apache/spark,https://github.com/apache/spark,Apache-2.0,2014-02-25 08:00:08.000,2025-01-09 09:29:09.000000,2025-01-09 09:29:02,43206.0,793.0,28412.0,2020.0,49389.0,243.0,,40310.0,Apache Spark Python API.,3167.0,44,True,2024-12-20 14:34:41.000,3.5.4,50.0,pyspark,conda-forge/pyspark,,,['spark'],1654.0,,https://pypi.org/project/pyspark,2024-12-20 14:34:41.000,1654.0,30282741.0,30348662.0,https://anaconda.org/conda-forge/pyspark,2024-12-21 08:33:41.806,3625689.0,,,,,2.0,,,,,,,,,stable/spark,,,,,,,,,,, +24,Gradio,gradio-app/gradio,others,,https://github.com/gradio-app/gradio,https://github.com/gradio-app/gradio,Apache-2.0,2018-12-19 08:24:04.000,2025-01-09 02:04:00.000000,2025-01-08 21:27:15,7341.0,255.0,2650.0,178.0,4735.0,459.0,4734.0,35105.0,"Wrap UIs around any model, share with anyone.",483.0,44,True,2025-01-08 21:04:27.000,5.11.0,613.0,gradio,,,,,53091.0,52126.0,https://pypi.org/project/gradio,2025-01-08 21:04:27.000,965.0,5736027.0,5736027.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +25,mlflow,mlflow/mlflow,ml-experiments,,https://github.com/mlflow/mlflow,https://github.com/mlflow/mlflow,Apache-2.0,2018-06-05 16:05:58.000,2025-01-09 02:56:26.000000,2025-01-09 02:54:55,6998.0,420.0,4302.0,306.0,9895.0,1687.0,2649.0,19185.0,Open source platform for the machine learning lifecycle.,810.0,44,True,2024-12-11 12:49:06.000,2.19.0,121.0,mlflow,conda-forge/mlflow,,,,50428.0,49496.0,https://pypi.org/project/mlflow,2024-12-11 09:49:32.000,932.0,13390168.0,13437407.0,https://anaconda.org/conda-forge/mlflow,2024-12-12 05:57:45.831,2598146.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +26,networkx,networkx/networkx,graph,,https://github.com/networkx/networkx,https://github.com/networkx/networkx,BSD-3-Clause,2010-09-06 00:53:44.000,2025-01-02 03:09:49.000000,2025-01-02 03:09:49,7851.0,42.0,3253.0,281.0,3963.0,344.0,3055.0,15250.0,Network Analysis in Python.,760.0,44,True,2024-10-21 12:40:41.000,networkx-3.4.2,98.0,networkx,conda-forge/networkx,,,,345920.0,336290.0,https://pypi.org/project/networkx,2024-10-21 12:39:36.000,9630.0,57479856.0,57849094.0,https://anaconda.org/conda-forge/networkx,2024-12-25 14:22:43.959,19569657.0,,,,,1.0,78.0,,,,,,,,,,,,,,,,,,, +27,dask,dask/dask,distributed-ml,,https://github.com/dask/dask,https://github.com/dask/dask,BSD-3-Clause,2015-01-04 18:50:00.000,2025-01-09 14:25:31.000000,2025-01-09 14:25:31,9404.0,166.0,1729.0,214.0,6118.0,1096.0,4331.0,12819.0,Parallel computing with task scheduling.,619.0,44,True,2024-12-17 20:26:41.000,2024.12.1,214.0,dask,conda-forge/dask,,,,71209.0,68656.0,https://pypi.org/project/dask,2024-12-17 20:26:41.000,2553.0,10099196.0,10321824.0,https://anaconda.org/conda-forge/dask,2024-12-17 22:58:45.484,12467191.0,,,,,1.0,,,,,,,,,stable/dask,,,,,,,,,,, +28,spaCy,explosion/spaCy,nlp,,https://github.com/explosion/spaCy,https://github.com/explosion/spaCy,MIT,2014-07-03 15:15:40.000,2024-12-16 14:17:50.000000,2024-12-11 13:14:08,16218.0,9.0,4417.0,562.0,4030.0,168.0,5523.0,30616.0,Industrial-strength Natural Language Processing (NLP) in Python.,762.0,43,True,2024-12-11 13:12:14.000,3.8.3,238.0,spacy,conda-forge/spacy,,,,113507.0,110669.0,https://pypi.org/project/spacy,2024-12-11 13:12:14.000,2838.0,10975409.0,11065277.0,https://anaconda.org/conda-forge/spacy,2024-11-24 12:28:01.906,4941957.0,,,,,1.0,1289.0,-1.0,,,,,,,,,,,,,,,,,, +29,pytorch-lightning,Lightning-AI/lightning,ml-frameworks,,https://github.com/Lightning-AI/pytorch-lightning,https://github.com/Lightning-AI/pytorch-lightning,Apache-2.0,2019-03-31 00:45:57.000,2025-01-09 12:21:35.000000,2025-01-09 11:28:08,10502.0,74.0,3409.0,253.0,10364.0,840.0,6349.0,28762.0,"Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.",993.0,43,True,2024-12-21 01:35:39.000,2.5.0.post0,282.0,pytorch-lightning,conda-forge/pytorch-lightning,,,['pytorch'],42046.0,40510.0,https://pypi.org/project/pytorch-lightning,2024-12-21 01:36:45.000,1536.0,6060365.0,6085929.0,https://anaconda.org/conda-forge/pytorch-lightning,2024-12-22 08:21:07.098,1391571.0,,,,,2.0,11059.0,,Lightning-AI/pytorch-lightning,,,,,,,,,,,,,,,,, +30,dash,plotly/dash,data-viz,,https://github.com/plotly/dash,https://github.com/plotly/dash,MIT,2015-04-10 01:53:08.000,2025-01-08 19:59:26.000000,2024-12-11 17:57:01,7769.0,68.0,2077.0,425.0,1168.0,495.0,1378.0,21771.0,Data Apps & Dashboards for Python. No JavaScript Required.,169.0,43,True,2024-11-04 21:17:37.000,2.18.2,182.0,dash,conda-forge/dash,,,,76569.0,75222.0,https://pypi.org/project/dash,2024-11-04 21:12:56.000,1347.0,4183171.0,4212706.0,https://anaconda.org/conda-forge/dash,2024-12-15 07:31:13.084,1624377.0,,,,,1.0,87.0,,,,,,,,,,,,,,,,,,, +31,onnx,onnx/onnx,model-serialisation,,https://github.com/onnx/onnx,https://github.com/onnx/onnx,Apache-2.0,2017-09-07 04:53:45.000,2025-01-08 16:03:32.000000,2025-01-08 07:34:36,2962.0,104.0,3695.0,434.0,3512.0,340.0,2575.0,18212.0,Open standard for machine learning interoperability.,330.0,43,True,2024-10-01 21:45:45.000,1.17.0,35.0,onnx,conda-forge/onnx,,,,39432.0,38379.0,https://pypi.org/project/onnx,2024-10-01 21:45:45.000,1053.0,5265526.0,5291479.0,https://anaconda.org/conda-forge/onnx,2024-12-31 09:55:45.556,1413130.0,,,,,1.0,22646.0,,,,,,,,,,,,,,,,,,, +32,litellm,BerriAI/litellm,nlp,,https://github.com/BerriAI/litellm,https://github.com/BerriAI/litellm,MIT,2023-07-27 00:09:52.000,2025-01-09 06:08:23.000000,2025-01-09 06:08:20,18958.0,926.0,1877.0,90.0,3527.0,1015.0,3123.0,16029.0,"Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI,..",377.0,43,True,2025-01-09 04:41:46.000,1.57.4,1048.0,litellm,,,,others,6565.0,5888.0,https://pypi.org/project/litellm,2025-01-09 03:51:51.000,677.0,2946112.0,2946271.0,,,,,,,,1.0,478.0,,,,,,,,,,,,,,,,,,, +33,triton,openai/triton,model-serialisation,,https://github.com/triton-lang/triton,https://github.com/triton-lang/triton,MIT,2014-08-30 17:07:16.000,2025-01-09 02:07:07.000000,2025-01-08 21:47:55,3176.0,398.0,1651.0,197.0,3817.0,681.0,896.0,13943.0,Development repository for the Triton language and compiler.,356.0,43,True,2024-10-14 16:05:32.000,3.1.0,196.0,triton,,,,,48886.0,48621.0,https://pypi.org/project/triton,2024-10-14 16:05:32.000,265.0,13195823.0,13195823.0,,,,,,,,1.0,,,triton-lang/triton,,,,,,,,,,,,,,,,, +34,pydeck,visgl/deck.gl,geospatial-data,,https://github.com/visgl/deck.gl,https://github.com/visgl/deck.gl,MIT,2015-12-15 08:38:29.000,2025-01-09 10:51:19.000000,2025-01-09 08:16:35,5054.0,48.0,2089.0,1667.0,4927.0,371.0,2748.0,12388.0,WebGL2 powered visualization framework.,279.0,43,True,2024-12-11 10:43:06.025,9.0.38,679.0,pydeck,conda-forge/pydeck,,,['jupyter'],8916.0,8489.0,https://pypi.org/project/pydeck,2024-05-10 15:36:17.000,120.0,4803832.0,5207045.0,https://anaconda.org/conda-forge/pydeck,2023-06-16 19:17:51.392,671337.0,,,,,1.0,,1.0,,deck.gl,https://www.npmjs.com/package/deck.gl,2024-12-11 10:43:06.025,307.0,391835.0,,,,,,,,,,,, +35,Optuna,optuna/optuna,hyperopt,,https://github.com/optuna/optuna,https://github.com/optuna/optuna,MIT,2018-02-21 06:12:56.000,2025-01-09 10:25:32.000000,2025-01-09 10:25:32,18824.0,496.0,1042.0,118.0,3829.0,63.0,1636.0,11195.0,A hyperparameter optimization framework.,283.0,43,True,2024-11-12 05:51:56.000,4.1.0,67.0,optuna,conda-forge/optuna,,,,21762.0,20727.0,https://pypi.org/project/optuna,2024-11-12 05:51:56.000,1035.0,3293160.0,3331230.0,https://anaconda.org/conda-forge/optuna,2024-12-23 04:20:25.969,2093874.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +36,PyTorch Image Models,rwightman/pytorch-image-models,image,,https://github.com/huggingface/pytorch-image-models,https://github.com/huggingface/pytorch-image-models,Apache-2.0,2019-02-02 05:51:12.000,2025-01-09 05:10:54.000000,2025-01-09 05:10:15,2642.0,150.0,4773.0,318.0,568.0,45.0,903.0,32844.0,"The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and..",166.0,42,True,2024-12-03 19:05:39.000,1.0.12,63.0,timm,conda-forge/timm,,,['pytorch'],45462.0,44455.0,https://pypi.org/project/timm,2024-12-03 18:46:09.000,1007.0,5014875.0,5129024.0,https://anaconda.org/conda-forge/timm,2024-12-17 14:22:47.539,294379.0,,,,,1.0,7391485.0,,huggingface/pytorch-image-models,,,,,,,,,,,,,,,,, +37,Milvus,milvus-io/milvus,nn-search,,https://github.com/milvus-io/milvus,https://github.com/milvus-io/milvus,Apache-2.0,2019-09-16 06:43:43.000,2025-01-09 13:18:31.991142,2025-01-09 11:43:04,21601.0,708.0,2990.0,283.0,23965.0,762.0,11885.0,31796.0,"Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search.",300.0,42,True,2025-01-03 04:00:20.000,2.5.2,111.0,pymilvus,,milvusdb/milvus,,,205.0,,https://pypi.org/project/pymilvus,2025-01-02 11:19:58.000,205.0,1111711.0,2167843.0,,,,https://hub.docker.com/r/milvusdb/milvus,2025-01-09 13:18:31.991142,66.0,67286089.0,1.0,296802.0,,,,,,,,,,,,,,,,,,, +38,LightGBM,microsoft/LightGBM,ml-frameworks,,https://github.com/microsoft/LightGBM,https://github.com/microsoft/LightGBM,MIT,2016-08-05 05:45:50.000,2025-01-07 06:26:54.000000,2025-01-03 20:08:43,3625.0,49.0,3840.0,435.0,3321.0,383.0,3094.0,16859.0,"A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision..",323.0,42,True,2024-07-26 14:38:57.000,4.5.0,38.0,lightgbm,conda-forge/lightgbm,,,,43645.0,42568.0,https://pypi.org/project/lightgbm,2024-07-26 14:38:57.000,1077.0,8422546.0,8482829.0,https://anaconda.org/conda-forge/lightgbm,2024-10-10 08:17:38.424,2980277.0,,,,,2.0,276292.0,,,,,,,,,,,,,,,,,,, +39,nltk,nltk/nltk,nlp,,https://github.com/nltk/nltk,https://github.com/nltk/nltk,Apache-2.0,2009-09-07 10:53:58.000,2024-12-16 00:47:34.151000,2024-11-11 06:24:40,14683.0,2.0,2887.0,460.0,1501.0,276.0,1569.0,13747.0,Suite of libraries and programs for symbolic and statistical natural language processing for English.,462.0,42,True,2024-08-18 19:48:21.000,3.9.1,63.0,nltk,conda-forge/nltk,,,,341722.0,337025.0,https://pypi.org/project/nltk,2024-08-18 19:48:21.000,4697.0,21142488.0,21206768.0,https://anaconda.org/conda-forge/nltk,2024-12-16 00:47:34.151,2956904.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +40,Altair,altair-viz/altair,data-viz,,https://github.com/vega/altair,https://github.com/vega/altair,BSD-3-Clause,2015-09-19 03:14:04.000,2025-01-09 13:43:51.000000,2025-01-09 12:42:50,3846.0,61.0,795.0,139.0,1548.0,134.0,1918.0,9503.0,Declarative visualization library for Python.,173.0,42,True,2024-11-24 00:12:10.000,5.5.0,43.0,altair,conda-forge/altair,,,,190409.0,189493.0,https://pypi.org/project/altair,2024-11-23 23:39:56.000,916.0,22637278.0,22706349.0,https://anaconda.org/conda-forge/altair,2024-12-15 06:41:29.283,2555573.0,,,,,1.0,221.0,,vega/altair,,,,,,,,,,,,,,,,, +41,wandb client,wandb/client,ml-experiments,,https://github.com/wandb/wandb,https://github.com/wandb/wandb,MIT,2017-03-24 05:46:23.000,2025-01-09 14:37:47.000000,2025-01-09 00:11:53,7552.0,431.0,690.0,63.0,5762.0,606.0,2843.0,9355.0,"The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation..",203.0,42,True,2025-01-07 21:18:04.000,0.19.2,298.0,wandb,conda-forge/wandb,,,,64278.0,62684.0,https://pypi.org/project/wandb,2025-01-07 21:12:01.000,1594.0,16338507.0,16353789.0,https://anaconda.org/conda-forge/wandb,2025-01-08 19:40:34.083,824784.0,,,,,1.0,444.0,,wandb/wandb,,,,,,,,,,,,,,,,, +42,Tensorboard,tensorflow/tensorboard,ml-experiments,,https://github.com/tensorflow/tensorboard,https://github.com/tensorflow/tensorboard,Apache-2.0,2017-05-15 20:08:07.000,2024-12-18 21:39:43.000000,2024-12-18 21:39:43,5882.0,16.0,1660.0,190.0,5060.0,687.0,1241.0,6765.0,TensorFlows Visualization Toolkit.,322.0,42,True,2024-09-25 21:21:50.000,2.18.0,63.0,tensorboard,conda-forge/tensorboard,,,['tensorflow'],287060.0,284834.0,https://pypi.org/project/tensorboard,2024-09-25 21:21:50.000,2226.0,21939396.0,22035230.0,https://anaconda.org/conda-forge/tensorboard,2024-12-10 08:54:23.547,5270914.0,,,,,1.0,,-1.0,,,,,,,,,,,,,,,,,, +43,scikit-image,scikit-image/scikit-image,image,,https://github.com/scikit-image/scikit-image,https://github.com/scikit-image/scikit-image,,2011-07-07 22:07:20.000,2025-01-08 23:24:58.000000,2025-01-08 23:24:58,14235.0,72.0,2240.0,186.0,4556.0,808.0,2133.0,6137.0,Image processing in Python.,679.0,42,False,2024-12-13 21:31:26.000,0.25.0,71.0,scikit-image,conda-forge/scikit-image,,,,216521.0,209833.0,https://pypi.org/project/scikit-image,2024-12-13 21:31:26.000,6688.0,10952177.0,11085987.0,https://anaconda.org/conda-forge/scikit-image,2025-01-08 00:19:30.135,7359576.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +44,PaddleOCR,PaddlePaddle/PaddleOCR,ocr,,https://github.com/PaddlePaddle/PaddleOCR,https://github.com/PaddlePaddle/PaddleOCR,Apache-2.0,2020-05-08 10:38:16.000,2025-01-09 03:51:07.000000,2025-01-09 03:49:23,6390.0,88.0,7849.0,446.0,3202.0,169.0,9337.0,45608.0,"Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages..",266.0,41,True,2024-10-22 05:57:58.000,2.9.1,48.0,paddleocr,,,,['paddle'],4163.0,4055.0,https://pypi.org/project/paddleocr,2024-10-22 05:57:58.000,108.0,314770.0,334422.0,,,,,,,,1.0,1021938.0,,,,,,,,,,,,,,,,,,, +45,DeepSpeed,microsoft/DeepSpeed,distributed-ml,,https://github.com/microsoft/DeepSpeed,https://github.com/microsoft/DeepSpeed,Apache-2.0,2020-01-23 18:35:18.000,2025-01-09 01:18:37.000000,2025-01-08 20:54:19,2641.0,130.0,4169.0,348.0,3120.0,1110.0,1926.0,36173.0,"DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and..",367.0,41,True,2024-12-18 17:52:34.000,0.16.2,101.0,deepspeed,,deepspeed/deepspeed,,['pytorch'],10661.0,10425.0,https://pypi.org/project/deepspeed,2024-12-18 17:52:34.000,236.0,647815.0,648171.0,,,,https://hub.docker.com/r/deepspeed/deepspeed,2022-09-02 00:25:31.275782,4.0,21407.0,1.0,,,,,,,,,,,,,,,,,,,, +46,Faiss,facebookresearch/faiss,nn-search,,https://github.com/facebookresearch/faiss,https://github.com/facebookresearch/faiss,MIT,2017-02-07 16:07:05.000,2025-01-07 14:38:17.000000,2025-01-07 14:27:53,1357.0,89.0,3649.0,480.0,1318.0,254.0,2326.0,32285.0,A library for efficient similarity search and clustering of dense vectors.,200.0,41,True,2025-01-02 11:19:58.000,2.5.3,111.0,pymilvus,conda-forge/faiss,,,,4513.0,4308.0,https://pypi.org/project/pymilvus,2025-01-02 11:19:58.000,205.0,1111711.0,1148764.0,https://anaconda.org/conda-forge/faiss,2024-12-20 08:17:21.787,2037920.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +47,shap,slundberg/shap,interpretability,,https://github.com/shap/shap,https://github.com/shap/shap,MIT,2016-11-22 19:17:08.000,2025-01-08 21:21:38.000000,2024-12-13 21:16:38,2780.0,10.0,3289.0,245.0,1000.0,702.0,1859.0,23195.0,A game theoretic approach to explain the output of any machine learning model.,254.0,41,True,2024-06-27 10:16:34.000,0.46.0,104.0,shap,conda-forge/shap,,,,24612.0,23864.0,https://pypi.org/project/shap,2024-06-27 10:16:34.000,748.0,6654713.0,6750768.0,https://anaconda.org/conda-forge/shap,2024-12-10 12:59:40.676,4706711.0,,,,,1.0,,,shap/shap,,,,,,,,,,,,,,,,, +48,torchvision,pytorch/vision,image,,https://github.com/pytorch/vision,https://github.com/pytorch/vision,BSD-3-Clause,2016-11-09 23:11:43.000,2025-01-09 11:34:46.000000,2024-12-20 18:43:16,3979.0,33.0,6966.0,448.0,5471.0,1048.0,2489.0,16446.0,"Datasets, Transforms and Models specific to Computer Vision.",616.0,41,True,2024-10-29 17:40:34.000,0.20.1,49.0,torchvision,conda-forge/torchvision,,,['pytorch'],5875.0,21.0,https://pypi.org/project/torchvision,2024-10-29 17:40:34.000,5854.0,13691697.0,13736341.0,https://anaconda.org/conda-forge/torchvision,2024-12-28 03:50:55.334,2034069.0,,,,,1.0,39637.0,,,,,,,,,,,,,,,,,,, +49,sentence-transformers,UKPLab/sentence-transformers,nlp,,https://github.com/UKPLab/sentence-transformers,https://github.com/UKPLab/sentence-transformers,Apache-2.0,2019-07-24 10:53:51.000,2025-01-06 17:41:13.000000,2025-01-06 17:41:13,1621.0,61.0,2496.0,143.0,619.0,1193.0,1079.0,15725.0,State-of-the-Art Text Embeddings.,201.0,41,True,2024-11-18 14:38:20.000,3.3.1,59.0,sentence-transformers,conda-forge/sentence-transformers,,,['pytorch'],65723.0,63886.0,https://pypi.org/project/sentence-transformers,2024-11-18 14:37:38.000,1837.0,7143396.0,7153217.0,https://anaconda.org/conda-forge/sentence-transformers,2024-12-21 19:23:58.994,510709.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +50,yfinance,ranaroussi/yfinance,financial-data,,https://github.com/ranaroussi/yfinance,https://github.com/ranaroussi/yfinance,Apache-2.0,2017-05-21 10:16:15.000,2025-01-07 22:27:05.000000,2024-12-19 22:46:16,1386.0,62.0,2477.0,245.0,657.0,196.0,1231.0,15327.0,Download market data from Yahoo! Finances API.,129.0,41,True,2024-12-19 22:51:55.000,0.2.51,123.0,yfinance,ranaroussi/yfinance,,,,57526.0,56783.0,https://pypi.org/project/yfinance,2024-12-19 22:51:55.000,743.0,3239689.0,3242010.0,https://anaconda.org/ranaroussi/yfinance,2023-06-16 19:26:44.442,97494.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +51,Albumentations,albumentations-team/albumentations,image,,https://github.com/albumentations-team/albumentations,https://github.com/albumentations-team/albumentations,MIT,2018-06-06 03:10:50.000,2025-01-08 20:24:42.000000,2025-01-08 19:22:12,1188.0,164.0,1656.0,128.0,1097.0,153.0,971.0,14463.0,Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125.,159.0,41,True,2025-01-08 20:24:20.000,2.0.0,80.0,albumentations,conda-forge/albumentations,,,['pytorch'],31587.0,30951.0,https://pypi.org/project/albumentations,2025-01-08 20:24:42.000,636.0,5106094.0,5110174.0,https://anaconda.org/conda-forge/albumentations,2025-01-08 01:29:24.231,220358.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +52,DVC,iterative/dvc,ml-experiments,,https://github.com/iterative/dvc,https://github.com/iterative/dvc,Apache-2.0,2017-03-04 08:16:33.000,2025-01-09 14:41:53.000000,2024-12-31 01:51:20,9373.0,32.0,1191.0,135.0,5556.0,244.0,4490.0,14066.0,Data Versioning and ML Experiments.,308.0,41,True,2024-12-01 16:53:49.000,3.58.0,541.0,dvc,conda-forge/dvc,,,,20393.0,20259.0,https://pypi.org/project/dvc,2024-12-01 16:53:49.000,134.0,425129.0,470475.0,https://anaconda.org/conda-forge/dvc,2024-12-20 18:40:34.170,2494034.0,,,,,1.0,,,,,,,,,,dvc,dvc,dvc,,,,,,,, +53,flair,flairNLP/flair,nlp,,https://github.com/flairNLP/flair,https://github.com/flairNLP/flair,MIT,2018-06-11 11:04:18.000,2025-01-07 12:42:44.000000,2025-01-07 12:24:09,6518.0,369.0,2106.0,203.0,1252.0,113.0,2235.0,14007.0,A very simple framework for state-of-the-art Natural Language Processing (NLP).,274.0,41,True,2024-12-20 08:57:44.000,0.15.0,34.0,flair,conda-forge/python-flair,,,['pytorch'],3864.0,3716.0,https://pypi.org/project/flair,2024-12-20 08:37:28.000,148.0,91718.0,92388.0,https://anaconda.org/conda-forge/python-flair,2024-12-26 18:30:16.572,36220.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +54,MoviePy,Zulko/moviepy,image,,https://github.com/Zulko/moviepy,https://github.com/Zulko/moviepy,MIT,2013-08-12 09:39:28.000,2025-01-05 23:06:19.000000,2025-01-05 23:04:50,1305.0,117.0,1583.0,253.0,714.0,498.0,1077.0,12855.0,Video editing with Python.,171.0,41,True,2024-11-25 04:33:19.000,2.1.1,88.0,moviepy,conda-forge/moviepy,,,,52841.0,51836.0,https://pypi.org/project/moviepy,2024-11-25 04:33:19.000,1005.0,2214281.0,2217410.0,https://anaconda.org/conda-forge/moviepy,2023-06-16 13:23:34.876,281651.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +55,Seaborn,mwaskom/seaborn,data-viz,,https://github.com/mwaskom/seaborn,https://github.com/mwaskom/seaborn,BSD-3-Clause,2012-06-18 18:41:19.000,2024-12-16 12:54:03.000000,2024-12-16 12:54:02,3238.0,1.0,1929.0,263.0,1131.0,185.0,2433.0,12732.0,Statistical data visualization in Python.,213.0,41,True,2024-01-25 13:21:49.000,0.13.2,37.0,seaborn,conda-forge/seaborn,,,,549703.0,538860.0,https://pypi.org/project/seaborn,2024-01-25 13:21:49.000,10843.0,17915045.0,18120028.0,https://anaconda.org/conda-forge/seaborn,2024-12-09 07:42:09.249,11273909.0,,,,,1.0,464.0,,,,,,,,,,,,,,,,,,, +56,PyMC3,pymc-devs/pymc,probabilistics,,https://github.com/pymc-devs/pymc,https://github.com/pymc-devs/pymc,Apache-2.0,2009-05-05 09:43:50.000,2025-01-07 20:55:33.000000,2025-01-07 20:53:22,10160.0,66.0,2038.0,225.0,4129.0,337.0,3084.0,8818.0,Bayesian Modeling and Probabilistic Programming in Python.,507.0,41,True,2025-01-07 20:55:33.000,5.20.0,96.0,pymc3,conda-forge/pymc3,,,,5374.0,5182.0,https://pypi.org/project/pymc3,2024-05-31 12:35:21.000,192.0,235838.0,247282.0,https://anaconda.org/conda-forge/pymc3,2024-12-21 13:26:06.624,628634.0,,,,,1.0,1963.0,,,,,,,,,,,,,,,,,,, +57,Catboost,catboost/catboost,ml-frameworks,,https://github.com/catboost/catboost,https://github.com/catboost/catboost,Apache-2.0,2017-07-18 05:29:04.000,2025-01-09 13:30:49.000000,2025-01-09 13:21:29,48965.0,291.0,1189.0,191.0,404.0,575.0,1797.0,8182.0,"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification,..",1299.0,41,True,2024-12-07 11:22:32.000,node-package-v1.26.0,113.0,catboost,conda-forge/catboost,,,,551.0,16.0,https://pypi.org/project/catboost,2024-09-07 16:51:57.000,535.0,2987281.0,3027747.0,https://anaconda.org/conda-forge/catboost,2024-09-07 21:05:39.027,1829702.0,,,,,2.0,340812.0,,,,,,,,,,,,,,,,,,, +58,accelerate,huggingface/accelerate,pytorch-utils,,https://github.com/huggingface/accelerate,https://github.com/huggingface/accelerate,Apache-2.0,2020-10-30 13:27:12.000,2025-01-08 18:03:14.000000,2025-01-08 17:45:22,1639.0,50.0,990.0,98.0,1637.0,123.0,1581.0,8153.0,"A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic..",309.0,41,True,2024-12-13 18:56:09.000,1.2.1,66.0,accelerate,conda-forge/accelerate,,,['pytorch'],67350.0,65649.0,https://pypi.org/project/accelerate,2024-12-13 18:54:30.000,1701.0,7421768.0,7428768.0,https://anaconda.org/conda-forge/accelerate,2024-12-16 20:09:03.263,273032.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +59,Fastai,fastai/fastai,ml-frameworks,,https://github.com/fastai/fastai,https://github.com/fastai/fastai,Apache-2.0,2017-09-09 17:43:36.000,2024-12-14 04:24:44.000000,2024-12-14 04:24:41,2802.0,11.0,7565.0,603.0,2240.0,226.0,1594.0,26481.0,The fastai deep learning library.,670.0,40,True,2024-10-19 03:20:25.000,2.7.18,152.0,fastai,,,,['pytorch'],20533.0,20225.0,https://pypi.org/project/fastai,2024-10-19 03:20:25.000,308.0,351834.0,351834.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +60,PyFlink,apache/flink,ml-frameworks,,https://github.com/apache/flink,https://github.com/apache/flink,Apache-2.0,2014-06-07 07:00:10.000,2025-01-09 13:12:27.000000,2025-01-09 13:12:27,36328.0,311.0,13420.0,938.0,25920.0,1257.0,,24371.0,Apache Flink Python API.,1960.0,40,True,2024-06-14 14:43:26.000,1.19.1,49.0,apache-flink,,,,,56.0,21.0,https://pypi.org/project/apache-flink,2024-08-01 04:14:17.000,35.0,41874118.0,41874118.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +61,Tokenizers,huggingface/tokenizers,nlp,,https://github.com/huggingface/tokenizers,https://github.com/huggingface/tokenizers,Apache-2.0,2019-11-01 17:52:20.000,2025-01-09 12:28:54.000000,2025-01-09 12:24:04,1853.0,30.0,807.0,122.0,683.0,58.0,962.0,9238.0,Fast State-of-the-Art Tokenizers optimized for Research and Production.,104.0,40,True,2024-11-27 13:11:07.000,0.21.0,108.0,tokenizers,conda-forge/tokenizers,,,,128737.0,127641.0,https://pypi.org/project/tokenizers,2024-11-27 13:11:07.000,1096.0,30362002.0,30406691.0,https://anaconda.org/conda-forge/tokenizers,2024-11-27 19:20:00.476,2413186.0,,,,,1.0,71.0,,,,,,,,,,,,,,,,,,, +62,folium,python-visualization/folium,geospatial-data,,https://github.com/python-visualization/folium,https://github.com/python-visualization/folium,MIT,2013-05-09 04:21:35.000,2025-01-07 11:07:31.883000,2025-01-06 18:35:10,1937.0,54.0,2229.0,163.0,915.0,85.0,1057.0,6993.0,Python Data. Leaflet.js Maps.,173.0,40,True,2025-01-06 09:17:10.000,0.19.4,38.0,folium,conda-forge/folium,,,,50045.0,49228.0,https://pypi.org/project/folium,2025-01-06 09:17:10.000,817.0,1465386.0,1535344.0,https://anaconda.org/conda-forge/folium,2025-01-07 11:07:31.883,3358020.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +63,Shapely,shapely/shapely,geospatial-data,,https://github.com/shapely/shapely,https://github.com/shapely/shapely,BSD-3-Clause,2011-12-31 19:43:11.000,2024-12-03 08:34:38.000000,2024-12-03 08:34:38,2327.0,10.0,571.0,89.0,890.0,294.0,959.0,3972.0,Manipulation and analysis of geometric objects.,163.0,40,True,2024-08-19 21:56:13.000,2.0.6,125.0,shapely,conda-forge/shapely,,,,93193.0,90258.0,https://pypi.org/project/shapely,2024-08-19 21:56:13.000,2935.0,28314531.0,28522194.0,https://anaconda.org/conda-forge/shapely,2024-09-25 14:46:10.973,11001152.0,,,,,1.0,3733.0,,,,,,,,,,,,,,,,,,, +64,SageMaker SDK,aws/sagemaker-python-sdk,ml-experiments,,https://github.com/aws/sagemaker-python-sdk,https://github.com/aws/sagemaker-python-sdk,Apache-2.0,2017-11-14 01:03:33.000,2025-01-09 00:34:53.000000,2025-01-09 00:34:51,4018.0,166.0,1136.0,138.0,3267.0,343.0,1208.0,2119.0,A library for training and deploying machine learning models on Amazon SageMaker.,465.0,40,True,2025-01-09 00:34:54.000,2.237.3,615.0,sagemaker,conda-forge/sagemaker-python-sdk,,,"['mxnet', 'tensorflow']",5213.0,5056.0,https://pypi.org/project/sagemaker,2024-12-05 03:00:39.000,157.0,24015351.0,24039546.0,https://anaconda.org/conda-forge/sagemaker-python-sdk,2024-12-17 18:43:08.208,1282371.0,,,,,2.0,,-1.0,,,,,,,,,,,,,,,,,, +65,dask.distributed,dask/distributed,distributed-ml,,https://github.com/dask/distributed,https://github.com/dask/distributed,BSD-3-Clause,2015-09-13 18:42:29.000,2025-01-09 11:19:55.000000,2025-01-09 11:19:55,5960.0,62.0,719.0,57.0,5218.0,1582.0,2390.0,1587.0,A distributed task scheduler for Dask.,330.0,40,True,2024-12-17 20:26:42.000,2024.12.1,246.0,distributed,conda-forge/distributed,,,,38844.0,37955.0,https://pypi.org/project/distributed,2024-12-17 20:26:42.000,889.0,3872615.0,4159351.0,https://anaconda.org/conda-forge/distributed,2024-12-17 22:07:27.324,16057262.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +66,OpenAI Gym,openai/gym,reinforcement-learning,,https://github.com/openai/gym,https://github.com/openai/gym,MIT,2016-04-27 14:59:16.000,2024-10-11 20:07:05.000000,2023-01-30 18:15:21,1757.0,,8614.0,1059.0,1458.0,121.0,1725.0,35102.0,A toolkit for developing and comparing reinforcement learning algorithms.,383.0,39,False,2023-07-20 15:30:49.667,0.0.1,108.0,gym,conda-forge/gym,,,,62198.0,60650.0,https://pypi.org/project/gym,2023-07-20 15:30:49.667,1548.0,454864.0,460932.0,https://anaconda.org/conda-forge/gym,2023-06-16 19:18:41.854,345912.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +67,PyTorch Geometric,pyg-team/pytorch_geometric,graph,,https://github.com/pyg-team/pytorch_geometric,https://github.com/pyg-team/pytorch_geometric,MIT,2017-10-06 16:03:03.000,2025-01-09 00:03:26.000000,2025-01-07 20:02:10,7673.0,42.0,3722.0,254.0,3245.0,1111.0,2685.0,21717.0,Graph Neural Network Library for PyTorch.,533.0,39,True,2024-09-26 08:11:27.000,2.6.1,46.0,torch-geometric,conda-forge/pytorch_geometric,,,['pytorch'],7820.0,7465.0,https://pypi.org/project/torch-geometric,2024-09-26 08:11:27.000,355.0,395431.0,397882.0,https://anaconda.org/conda-forge/pytorch_geometric,2024-12-19 10:54:16.536,132360.0,,,,,1.0,,-2.0,,,,,,,,,,,,,,,,,, +68,deepface,serengil/deepface,image,,https://github.com/serengil/deepface,https://github.com/serengil/deepface,MIT,2020-02-08 20:42:28.000,2025-01-08 16:49:28.000000,2025-01-08 16:49:28,1749.0,86.0,2335.0,159.0,263.0,5.0,1148.0,16627.0,"A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python.",78.0,39,True,2024-08-17 07:30:49.000,0.0.93,92.0,deepface,,,,,5098.0,5054.0,https://pypi.org/project/deepface,2024-08-17 07:24:30.000,44.0,301764.0,301764.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +69,dlib,davisking/dlib,ml-frameworks,,https://github.com/davisking/dlib,https://github.com/davisking/dlib,BSL-1.0,2014-01-29 00:45:33.000,2024-12-28 16:27:19.000000,2024-12-28 16:27:13,8290.0,6.0,3366.0,480.0,730.0,53.0,2185.0,13681.0,A toolkit for making real world machine learning and data analysis applications in C++.,197.0,39,False,2024-08-09 19:26:11.000,19.24.6,39.0,dlib,conda-forge/dlib,,,,33368.0,33155.0,https://pypi.org/project/dlib,2024-08-09 19:21:06.000,213.0,139490.0,157628.0,https://anaconda.org/conda-forge/dlib,2024-09-11 22:57:26.780,985406.0,,,,,2.0,25552.0,,,,,,,,,,,,,,,,,,, +70,CuPy,cupy/cupy,gpu-utilities,,https://github.com/cupy/cupy,https://github.com/cupy/cupy,MIT,2016-11-01 09:54:45.000,2025-01-08 05:50:57.000000,2025-01-08 05:50:57,29415.0,229.0,856.0,128.0,6491.0,617.0,1805.0,9681.0,NumPy & SciPy for GPU.,396.0,39,True,2024-08-22 07:42:45.000,13.3.0,141.0,cupy,conda-forge/cupy,cupy/cupy,,,2705.0,2436.0,https://pypi.org/project/cupy,2024-08-22 07:08:16.000,269.0,28109.0,127077.0,https://anaconda.org/conda-forge/cupy,2024-10-18 20:21:57.477,5348210.0,https://hub.docker.com/r/cupy/cupy,2024-08-22 07:44:42.171252,13.0,73552.0,1.0,192773.0,,,,,,,,,,,,,,,,,,, +71,speechbrain,speechbrain/speechbrain,audio,,https://github.com/speechbrain/speechbrain,https://github.com/speechbrain/speechbrain,Apache-2.0,2020-04-28 17:48:45.000,2025-01-07 18:37:38.000000,2025-01-07 18:37:37,10302.0,77.0,1404.0,134.0,1308.0,146.0,1013.0,9159.0,A PyTorch-based Speech Toolkit.,249.0,39,True,2024-10-31 10:06:07.000,1.0.2,18.0,speechbrain,,,,['pytorch'],2752.0,2685.0,https://pypi.org/project/speechbrain,2024-10-30 18:31:32.000,67.0,2011075.0,2011075.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +72,sktime,alan-turing-institute/sktime,time-series-data,,https://github.com/sktime/sktime,https://github.com/sktime/sktime,BSD-3-Clause,2018-11-06 15:08:24.000,2025-01-07 17:00:14.000000,2025-01-06 20:35:20,5124.0,183.0,1395.0,109.0,4517.0,1005.0,1638.0,8068.0,A unified framework for machine learning with time series.,433.0,39,True,2024-12-09 16:14:44.000,0.35.0,85.0,sktime,conda-forge/sktime-all-extras,,,['sklearn'],3885.0,3755.0,https://pypi.org/project/sktime,2024-12-09 16:14:44.000,130.0,818806.0,843860.0,https://anaconda.org/conda-forge/sktime-all-extras,2025-01-04 09:52:20.569,1052245.0,,,,,1.0,111.0,,sktime/sktime,,,,,,,,,,,,,,,,, +73,TensorFlow Datasets,tensorflow/datasets,tensorflow-utils,,https://github.com/tensorflow/datasets,https://github.com/tensorflow/datasets,Apache-2.0,2018-09-10 21:27:22.000,2025-01-09 14:15:00.000000,2025-01-09 13:27:50,6637.0,118.0,1559.0,108.0,4598.0,702.0,757.0,4331.0,"TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...",395.0,39,True,2024-10-30 12:58:53.000,4.9.7,40.0,tensorflow-datasets,conda-forge/tensorflow-datasets,,,['tensorflow'],21469.0,21140.0,https://pypi.org/project/tensorflow-datasets,2024-10-30 12:58:48.000,329.0,1704101.0,1705047.0,https://anaconda.org/conda-forge/tensorflow-datasets,2023-06-16 19:25:46.849,41634.0,,,,,1.0,,1.0,,,,,,,,,,,,,,,,,, +74,MNE,mne-tools/mne-python,medical-data,,https://github.com/mne-tools/mne-python,https://github.com/mne-tools/mne-python,BSD-3-Clause,2011-01-28 03:31:13.000,2025-01-08 21:50:24.000000,2025-01-08 21:50:23,18240.0,91.0,1331.0,83.0,8130.0,552.0,4408.0,2801.0,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.,382.0,39,True,2024-12-18 21:23:23.000,1.9.0,81.0,mne,conda-forge/mne,,,,5322.0,4903.0,https://pypi.org/project/mne,2024-12-18 21:23:23.000,419.0,124021.0,132297.0,https://anaconda.org/conda-forge/mne,2025-01-07 16:17:58.654,463461.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +75,Nilearn,nilearn/nilearn,medical-data,,https://github.com/nilearn/nilearn,https://github.com/nilearn/nilearn,BSD-3-Clause,2011-01-09 19:02:23.000,2025-01-09 14:37:48.000000,2025-01-09 14:37:46,10693.0,288.0,595.0,66.0,2846.0,298.0,1945.0,1227.0,Machine learning for NeuroImaging in Python.,253.0,39,True,2024-12-23 09:33:25.000,0.11.1,49.0,nilearn,conda-forge/nilearn,,,['sklearn'],4013.0,3704.0,https://pypi.org/project/nilearn,2024-12-23 09:28:14.000,309.0,64575.0,70776.0,https://anaconda.org/conda-forge/nilearn,2024-12-23 13:35:55.827,309795.0,,,,,1.0,281.0,1.0,,,,,,,,,,,,,,,,,, +76,MXNet,apache/incubator-mxnet,ml-frameworks,,https://github.com/apache/mxnet,https://github.com/apache/mxnet,Apache-2.0,2015-04-30 16:21:15.000,2023-10-25 21:28:33.000000,2023-01-26 21:28:45,11896.0,,6788.0,1070.0,11124.0,1805.0,7758.0,20791.0,"Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;..",982.0,38,False,2022-10-24 07:38:03.000,1.9.1,983.0,mxnet,mxnet,,,['mxnet'],7791.0,7665.0,https://pypi.org/project/mxnet,2022-05-17 21:11:13.000,120.0,526275.0,526676.0,https://anaconda.org/anaconda/mxnet,2023-06-16 13:24:22.589,11443.0,,,,,2.0,27846.0,,apache/mxnet,,,,,,,,,,6.0,,,,,,, +77,gensim,RaRe-Technologies/gensim,nlp,,https://github.com/piskvorky/gensim,https://github.com/piskvorky/gensim,LGPL-2.1,2011-02-10 07:43:04.000,2024-12-18 15:02:53.000000,2024-12-05 00:45:19,4535.0,1.0,4379.0,430.0,1714.0,384.0,1465.0,15776.0,Topic Modelling for Humans.,458.0,38,True,2024-07-19 14:39:26.000,4.3.3,94.0,gensim,conda-forge/gensim,,,,70513.0,69136.0,https://pypi.org/project/gensim,2024-07-19 14:39:26.000,1377.0,4567475.0,4599496.0,https://anaconda.org/conda-forge/gensim,2024-09-03 16:06:08.530,1470703.0,,,,,1.0,5543.0,,piskvorky/gensim,,,,,,,,,,,,,,,,, +78,pyecharts,pyecharts/pyecharts,data-viz,,https://github.com/pyecharts/pyecharts,https://github.com/pyecharts/pyecharts,MIT,2017-06-22 02:50:25.000,2024-11-06 07:08:07.000000,2024-11-03 18:25:41,1700.0,10.0,2852.0,380.0,475.0,3.0,1921.0,15041.0,Python Echarts Plotting Library.,45.0,38,True,2024-11-06 02:54:47.000,2.0.7,75.0,pyecharts,,,https://github.com/pyecharts/pyecharts/blob/master/README.en.md,['jupyter'],5051.0,4836.0,https://pypi.org/project/pyecharts,2024-11-03 18:29:35.000,215.0,157913.0,157916.0,,,,,,,,2.0,72.0,,,,,,,,,,,,,,,,,,, +79,carla,carla-simulator/carla,others,,https://github.com/carla-simulator/carla,https://github.com/carla-simulator/carla,MIT,2017-10-24 09:06:23.000,2025-01-09 14:26:04.000000,2025-01-09 08:51:22,6574.0,83.0,3703.0,252.0,1800.0,1093.0,4604.0,11838.0,Open-source simulator for autonomous driving research.,179.0,38,True,2024-12-19 14:10:57.000,0.10.0,27.0,carla,,,,,904.0,893.0,https://pypi.org/project/carla,2023-11-14 22:51:02.000,11.0,11455.0,11455.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +80,espnet,espnet/espnet,audio,,https://github.com/espnet/espnet,https://github.com/espnet/espnet,Apache-2.0,2017-12-13 00:45:11.000,2025-01-08 00:27:51.000000,2025-01-08 00:03:15,22569.0,357.0,2190.0,175.0,3424.0,368.0,2096.0,8668.0,End-to-End Speech Processing Toolkit.,480.0,38,True,2024-12-04 04:40:05.000,.202412,54.0,espnet,,,,,409.0,397.0,https://pypi.org/project/espnet,2024-12-04 04:40:26.000,12.0,19381.0,19382.0,,,,,,,,1.0,83.0,,,,,,,,,,,,,,,,,,, +81,GeoPandas,geopandas/geopandas,geospatial-data,,https://github.com/geopandas/geopandas,https://github.com/geopandas/geopandas,BSD-3-Clause,2013-06-27 17:03:47.000,2025-01-06 22:21:21.000000,2024-12-26 18:15:14,2052.0,24.0,938.0,107.0,1720.0,446.0,1277.0,4595.0,Python tools for geographic data.,237.0,38,True,2024-07-02 12:26:55.000,1.0.1,57.0,geopandas,conda-forge/geopandas,,,['pandas'],49279.0,46440.0,https://pypi.org/project/geopandas,2024-07-02 12:26:50.000,2839.0,5857834.0,5935354.0,https://anaconda.org/conda-forge/geopandas,2024-12-16 10:51:59.253,4262069.0,,,,,2.0,2878.0,,,,,,,,,,,,,,,,,,, +82,PyVista,pyvista/pyvista,data-viz,,https://github.com/pyvista/pyvista,https://github.com/pyvista/pyvista,MIT,2017-05-31 18:01:42.000,2025-01-09 13:13:26.000000,2025-01-09 02:44:20,4962.0,217.0,515.0,37.0,3972.0,661.0,1157.0,2831.0,3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).,171.0,38,True,2024-11-27 01:15:51.000,0.44.2,99.0,pyvista,conda-forge/pyvista,,,['jupyter'],4475.0,3897.0,https://pypi.org/project/pyvista,2024-11-27 00:06:11.000,578.0,347402.0,358415.0,https://anaconda.org/conda-forge/pyvista,2024-12-15 21:46:00.136,605267.0,,,,,2.0,853.0,,,,,,,,,,,,,,,,,,, +83,huggingface_hub,huggingface/huggingface_hub,model-serialisation,,https://github.com/huggingface/huggingface_hub,https://github.com/huggingface/huggingface_hub,Apache-2.0,2020-12-22 10:20:28.000,2025-01-08 15:31:13.042000,2025-01-06 14:37:43,1645.0,64.0,580.0,60.0,1605.0,155.0,869.0,2214.0,The official Python client for the Huggingface Hub.,212.0,38,True,2025-01-06 12:07:20.000,0.27.1,139.0,huggingface_hub,conda-forge/huggingface_hub,,,,2288.0,,https://pypi.org/project/huggingface_hub,2025-01-06 12:04:19.000,2288.0,42304609.0,42358720.0,https://anaconda.org/conda-forge/huggingface_hub,2025-01-08 15:31:13.042,2543222.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +84,jieba,fxsjy/jieba,chinese-nlp,,https://github.com/fxsjy/jieba,https://github.com/fxsjy/jieba,MIT,2012-09-29 07:52:01.000,2024-12-27 20:06:24.390000,2020-02-15 08:33:35,523.0,,6713.0,1281.0,167.0,674.0,227.0,33576.0,Chinese Words Segmentation Utilities.,49.0,37,False,2020-01-20 14:27:23.000,0.42.1,32.0,jieba,conda-forge/jieba,,,,34660.0,33822.0,https://pypi.org/project/jieba,2020-01-20 14:27:23.000,838.0,1503931.0,1507758.0,https://anaconda.org/conda-forge/jieba,2024-12-27 20:06:24.390,168408.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +85,Netron,lutzroeder/netron,interpretability,,https://github.com/lutzroeder/netron,https://github.com/lutzroeder/netron,MIT,2010-12-26 12:53:43.000,2025-01-09 03:29:52.000000,2025-01-09 03:29:46,8750.0,210.0,2823.0,307.0,239.0,21.0,1150.0,29038.0,"Visualizer for neural network, deep learning and machine learning models.",2.0,37,True,2025-01-04 03:37:08.000,8.0.9,685.0,netron,,,,"['pytorch', 'tensorflow']",710.0,627.0,https://pypi.org/project/netron,2025-01-04 03:37:08.000,83.0,22394.0,85612.0,,,,,,,,1.0,63218.0,,,,,,,,,,,,,,,,,,, +86,InsightFace,deepinsight/insightface,image,,https://github.com/deepinsight/insightface,https://github.com/deepinsight/insightface,MIT,2017-09-01 00:36:51.000,2024-12-05 07:41:28.000000,2024-12-05 07:41:28,2348.0,10.0,5431.0,514.0,184.0,1154.0,1386.0,23963.0,State-of-the-art 2D and 3D Face Analysis Project.,63.0,37,True,2023-04-02 08:03:01.222,0.7.3,28.0,insightface,,,,['mxnet'],3220.0,3190.0,https://pypi.org/project/insightface,2022-12-17 02:14:00.699,30.0,245163.0,535046.0,,,,,,,,2.0,6087559.0,,,,,,,,,,,,,,,,,,, +87,Rasa,RasaHQ/rasa,nlp,,https://github.com/RasaHQ/rasa,https://github.com/RasaHQ/rasa,Apache-2.0,2016-10-14 12:27:49.000,2025-01-09 14:13:23.000000,2024-11-25 16:29:03,32377.0,2.0,4664.0,357.0,6393.0,130.0,6642.0,19179.0,"Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management,..",593.0,37,True,2024-04-18 15:06:29.000,3.6.20,373.0,rasa,,,,['tensorflow'],4760.0,4700.0,https://pypi.org/project/rasa,2024-04-18 15:06:12.000,60.0,219051.0,219051.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +88,glfw,glfw/glfw,image,,https://github.com/glfw/glfw,https://github.com/glfw/glfw,Zlib,2013-04-18 15:24:53.000,2024-11-29 12:10:45.000000,2024-11-29 11:05:20,4820.0,3.0,5277.0,382.0,728.0,670.0,1380.0,13311.0,"A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input.",199.0,37,False,2024-11-22 15:43:48.000,2.8.0,59.0,glfw,conda-forge/glfw,,,,1741.0,1542.0,https://pypi.org/project/glfw,2024-11-22 15:43:48.000,199.0,408865.0,450250.0,https://anaconda.org/conda-forge/glfw,2024-02-24 15:41:47.790,308864.0,,,,,2.0,4108069.0,,,,,,,,,,,,,,,,,,, +89,NeMo,NVIDIA/NeMo,nlp,,https://github.com/NVIDIA/NeMo,https://github.com/NVIDIA/NeMo,Apache-2.0,2019-08-05 20:16:42.000,2025-01-09 14:16:14.000000,2025-01-09 14:16:11,7765.0,487.0,2579.0,213.0,8716.0,98.0,2317.0,12749.0,"A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal,..",374.0,37,True,2025-01-03 10:31:39.000,2.1.0,79.0,nemo-toolkit,,,,['pytorch'],35.0,21.0,https://pypi.org/project/nemo-toolkit,2025-01-03 09:43:30.000,14.0,111714.0,116306.0,,,,,,,,1.0,293950.0,,,,,,,,,,,,,,,,,,, +90,pandas-profiling,ydataai/pandas-profiling,data-viz,,https://github.com/ydataai/ydata-profiling,https://github.com/ydataai/ydata-profiling,MIT,2016-01-09 23:47:55.000,2024-12-30 15:47:33.000000,2024-12-19 17:17:22,1513.0,28.0,1690.0,152.0,833.0,237.0,579.0,12630.0,1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.,134.0,37,True,2024-12-08 20:12:09.000,4.12.1,66.0,pandas-profiling,conda-forge/pandas-profiling,,,"['jupyter', 'pandas']",5249.0,5066.0,https://pypi.org/project/pandas-profiling,2023-02-03 17:59:40.571,183.0,406431.0,411212.0,https://anaconda.org/conda-forge/pandas-profiling,2023-06-16 13:22:30.453,482762.0,,,,,2.0,230.0,,ydataai/ydata-profiling,,,,,,,,,,,,,,,,, +91,sentencepiece,google/sentencepiece,nlp,,https://github.com/google/sentencepiece,https://github.com/google/sentencepiece,Apache-2.0,2017-03-07 10:03:48.000,2024-12-31 07:56:17.243000,2024-08-18 00:47:35,986.0,,1176.0,125.0,316.0,41.0,719.0,10450.0,Unsupervised text tokenizer for Neural Network-based text generation.,89.0,37,True,2024-02-19 17:03:42.000,0.2.0,35.0,sentencepiece,conda-forge/sentencepiece,,,,91460.0,89728.0,https://pypi.org/project/sentencepiece,2024-02-19 17:03:42.000,1732.0,19134665.0,19157252.0,https://anaconda.org/conda-forge/sentencepiece,2024-12-31 07:56:17.243,1185868.0,,,,,1.0,48296.0,,,,,,,,,,,,,,,,,,, +92,Kornia,kornia/kornia,image,,https://github.com/kornia/kornia,https://github.com/kornia/kornia,Apache-2.0,2018-08-22 10:31:37.000,2025-01-06 23:30:27.000000,2025-01-06 23:30:25,2848.0,41.0,971.0,129.0,1986.0,288.0,669.0,10125.0,Geometric Computer Vision Library for Spatial AI.,278.0,37,True,2024-11-05 09:32:20.000,0.7.4,41.0,kornia,conda-forge/kornia,,,['pytorch'],13687.0,13400.0,https://pypi.org/project/kornia,2024-11-05 09:32:20.000,287.0,1646489.0,1649883.0,https://anaconda.org/conda-forge/kornia,2024-12-20 18:13:26.403,165304.0,,,,,2.0,1607.0,-1.0,,,,,,,,,,,,,,,,,, +93,Theano,Theano/Theano,ml-frameworks,,https://github.com/Theano/Theano,https://github.com/Theano/Theano,BSD-3-Clause,2011-08-10 03:48:06.000,2024-01-15 03:16:24.000000,2024-01-15 03:16:24,28133.0,,2488.0,539.0,4121.0,697.0,2087.0,9914.0,"Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving..",386.0,37,True,2020-07-27 16:13:54.000,1.0.5,45.0,theano,conda-forge/theano,,,,15953.0,15781.0,https://pypi.org/project/theano,2020-07-27 16:13:54.000,172.0,74853.0,99146.0,https://anaconda.org/conda-forge/theano,2023-06-16 13:23:49.668,2477951.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +94,FiftyOne,voxel51/fiftyone,data-viz,,https://github.com/voxel51/fiftyone,https://github.com/voxel51/fiftyone,Apache-2.0,2020-04-22 13:43:28.000,2025-01-09 05:26:56.000000,2025-01-07 22:42:15,22380.0,972.0,582.0,63.0,3790.0,519.0,1083.0,9049.0,"Visualize, create, and debug image and video datasets and model predictions.",147.0,37,True,2024-12-20 23:48:02.000,1.2.0,152.0,fiftyone,,,,"['tensorflow', 'pytorch', 'jupyter']",806.0,781.0,https://pypi.org/project/fiftyone,2024-12-20 22:56:42.000,25.0,96746.0,96746.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +95,Autograd,HIPS/autograd,others,,https://github.com/HIPS/autograd,https://github.com/HIPS/autograd,MIT,2014-11-24 15:50:23.000,2025-01-06 18:55:59.000000,2025-01-06 18:55:59,1460.0,18.0,910.0,211.0,258.0,179.0,248.0,7086.0,Efficiently computes derivatives of NumPy code.,60.0,37,True,2024-08-22 19:07:12.000,1.7.0,30.0,autograd,conda-forge/autograd,,,,11229.0,10946.0,https://pypi.org/project/autograd,2024-08-22 19:07:12.000,283.0,3385749.0,3401962.0,https://anaconda.org/conda-forge/autograd,2024-12-13 21:24:24.362,502625.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +96,Flax,google/flax,ml-frameworks,,https://github.com/google/flax,https://github.com/google/flax,Apache-2.0,2020-01-10 09:48:37.000,2025-01-09 11:07:03.000000,2025-01-07 08:36:43,4928.0,154.0,647.0,86.0,2739.0,306.0,748.0,6246.0,Flax is a neural network library for JAX that is designed for flexibility.,251.0,37,True,2024-11-19 19:58:50.000,0.10.2,50.0,flax,conda-forge/flax,,,['jax'],11636.0,11142.0,https://pypi.org/project/flax,2024-11-19 19:58:50.000,494.0,939727.0,941545.0,https://anaconda.org/conda-forge/flax,2024-11-20 00:54:51.479,83596.0,,,,,2.0,58.0,,,,,,,,,,,,,,,,,,, +97,tensorflow-probability,tensorflow/probability,probabilistics,,https://github.com/tensorflow/probability,https://github.com/tensorflow/probability,Apache-2.0,2017-10-23 23:50:54.000,2025-01-07 20:17:39.000000,2025-01-07 20:17:35,12201.0,27.0,1111.0,157.0,469.0,702.0,756.0,4284.0,Probabilistic reasoning and statistical analysis in TensorFlow.,497.0,37,True,2024-11-08 16:30:13.000,0.25.0,53.0,tensorflow-probability,conda-forge/tensorflow-probability,,,['tensorflow'],621.0,3.0,https://pypi.org/project/tensorflow-probability,2024-11-08 16:25:57.000,618.0,1123715.0,1127113.0,https://anaconda.org/conda-forge/tensorflow-probability,2024-05-27 12:58:13.692,159727.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +98,HoloViews,holoviz/holoviews,data-viz,,https://github.com/holoviz/holoviews,https://github.com/holoviz/holoviews,BSD-3-Clause,2014-05-07 16:59:22.000,2025-01-09 12:04:46.000000,2025-01-09 12:04:45,10897.0,48.0,404.0,58.0,3130.0,1114.0,2248.0,2732.0,"With Holoviews, your data visualizes itself.",146.0,37,True,2024-11-04 15:56:57.000,1.20.0,174.0,holoviews,conda-forge/holoviews,,,['jupyter'],13983.0,13576.0,https://pypi.org/project/holoviews,2024-11-11 07:16:12.000,402.0,339148.0,374268.0,https://anaconda.org/conda-forge/holoviews,2024-12-13 07:23:10.744,1919405.0,,,,,2.0,,,,@pyviz/jupyterlab_pyviz,https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz,2024-08-01 13:45:47.955,5.0,222.0,,,,,,,,,,,, +99,Rasterio,rasterio/rasterio,geospatial-data,,https://github.com/rasterio/rasterio,https://github.com/rasterio/rasterio,BSD-3-Clause,2013-11-04 16:36:27.000,2024-12-15 02:03:30.000000,2024-12-15 02:03:25,3921.0,19.0,535.0,145.0,1243.0,146.0,1712.0,2293.0,Rasterio reads and writes geospatial raster datasets.,161.0,37,True,2024-12-02 16:44:51.000,1.4.3,166.0,rasterio,conda-forge/rasterio,,,,16061.0,14525.0,https://pypi.org/project/rasterio,2024-12-02 14:48:24.000,1536.0,2003995.0,2087275.0,https://anaconda.org/conda-forge/rasterio,2024-12-02 18:32:30.402,3997100.0,,,,,2.0,1002.0,,,,,,,,,,,,,,,,,,, +100,imageio,imageio/imageio,image,,https://github.com/imageio/imageio,https://github.com/imageio/imageio,BSD-2-Clause,2013-05-04 22:56:45.000,2024-11-28 17:38:39.834000,2024-11-28 08:11:48,1549.0,8.0,298.0,32.0,503.0,99.0,512.0,1532.0,Python library for reading and writing image data.,119.0,37,True,2024-11-28 08:11:59.000,2.36.1,96.0,imageio,conda-forge/imageio,,,,156529.0,153997.0,https://pypi.org/project/imageio,2024-11-28 08:11:55.000,2532.0,23925528.0,24061557.0,https://anaconda.org/conda-forge/imageio,2024-11-28 17:38:39.834,7344559.0,,,,,2.0,1468.0,-1.0,,,,,,,,,,,,,,,,,, +101,fairseq,facebookresearch/fairseq,nlp,,https://github.com/facebookresearch/fairseq,https://github.com/facebookresearch/fairseq,MIT,2017-08-29 16:26:12.000,2024-11-24 05:25:05.032000,2024-10-18 16:40:02,2327.0,1.0,6414.0,425.0,1360.0,1291.0,3053.0,30775.0,Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,428.0,36,True,2022-06-27 19:32:58.000,0.12.2,16.0,fairseq,conda-forge/fairseq,,,['pytorch'],3975.0,3858.0,https://pypi.org/project/fairseq,2022-06-27 19:32:38.000,117.0,116785.0,118846.0,https://anaconda.org/conda-forge/fairseq,2024-11-24 05:25:05.032,111103.0,,,,,2.0,372.0,,,,,,,,,,,,,,,,,,, +102,MMDetection,open-mmlab/mmdetection,image,,https://github.com/open-mmlab/mmdetection,https://github.com/open-mmlab/mmdetection,Apache-2.0,2018-08-22 07:06:06.000,2024-08-21 02:01:07.000000,2024-02-05 13:23:18,2706.0,,9485.0,372.0,3166.0,1846.0,6729.0,29998.0,OpenMMLab Detection Toolbox and Benchmark.,480.0,36,True,2024-01-05 06:25:30.000,3.3.0,53.0,mmdet,,,,['pytorch'],3447.0,3365.0,https://pypi.org/project/mmdet,2024-01-05 06:25:30.000,82.0,163544.0,163544.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +103,Jina,jina-ai/jina,ml-frameworks,,https://github.com/jina-ai/serve,https://github.com/jina-ai/serve,Apache-2.0,2020-02-13 17:04:44.000,2024-12-20 12:22:55.316112,2024-12-20 12:13:57,8639.0,34.0,2211.0,216.0,4222.0,3.0,1940.0,21239.0,Build multimodal AI applications with cloud-native stack.,178.0,36,True,2024-12-20 12:13:24.000,3.33.0,2490.0,jina,conda-forge/jina-core,jinaai/jina,,,27.0,,https://pypi.org/project/jina,2024-12-20 12:13:24.000,27.0,61343.0,93456.0,https://anaconda.org/conda-forge/jina-core,2023-06-16 19:27:18.682,83758.0,https://hub.docker.com/r/jinaai/jina,2024-12-20 12:22:55.316112,8.0,1771216.0,2.0,,,jina-ai/serve,,,,,,,,,,,,,,,,, +104,OCRmyPDF,ocrmypdf/OCRmyPDF,ocr,,https://github.com/ocrmypdf/OCRmyPDF,https://github.com/ocrmypdf/OCRmyPDF,MPL-2.0,2013-12-20 08:26:28.000,2025-01-09 10:14:33.000000,2025-01-09 10:14:29,3952.0,84.0,1033.0,139.0,190.0,115.0,1098.0,14560.0,"OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched.",103.0,36,True,2025-01-05 17:06:43.000,16.8.0,249.0,ocrmypdf,conda-forge/ocrmypdf,,,,1156.0,1115.0,https://pypi.org/project/ocrmypdf,2025-01-05 17:06:43.000,41.0,142693.0,144909.0,https://anaconda.org/conda-forge/ocrmypdf,2023-06-16 19:24:58.228,87203.0,,,,,1.0,6146.0,,,,,,,,,ocrmypdf,ocrmypdf,,,,,,,,, +105,imgaug,aleju/imgaug,image,,https://github.com/aleju/imgaug,https://github.com/aleju/imgaug,MIT,2015-07-10 20:31:33.000,2024-07-30 01:38:33.000000,2020-06-01 14:58:26,2913.0,,2444.0,229.0,346.0,310.0,225.0,14477.0,Image augmentation for machine learning experiments.,36.0,36,False,2020-02-06 06:18:40.000,0.4.0,11.0,imgaug,conda-forge/imgaug,,,,23983.0,23718.0,https://pypi.org/project/imgaug,2020-02-05 20:54:22.000,265.0,458286.0,461154.0,https://anaconda.org/conda-forge/imgaug,2023-06-16 16:15:24.882,192219.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +106,horovod,horovod/horovod,distributed-ml,,https://github.com/horovod/horovod,https://github.com/horovod/horovod,Apache-2.0,2017-08-09 19:39:59.000,2024-12-12 14:25:03.000000,2024-08-31 11:55:45,1340.0,,2241.0,334.0,1604.0,408.0,1864.0,14332.0,"Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.",173.0,36,True,2023-06-12 09:28:02.604,0.28.1,77.0,horovod,,,,,1326.0,1293.0,https://pypi.org/project/horovod,2023-06-12 09:28:02.604,33.0,86359.0,86359.0,,,,,,,,2.0,,,,,,,,,stable/horovod,,,,,,,,,,, +107,ChatterBot,gunthercox/ChatterBot,nlp,,https://github.com/gunthercox/ChatterBot,https://github.com/gunthercox/ChatterBot,BSD-3-Clause,2014-09-28 14:49:00.000,2025-01-05 14:46:58.000000,2025-01-05 14:46:58,1877.0,29.0,4446.0,545.0,718.0,416.0,1288.0,14138.0,"ChatterBot is a machine learning, conversational dialog engine for creating chat bots.",107.0,36,True,2020-08-22 18:42:43.000,1.0.8,86.0,chatterbot,,,,,6071.0,6053.0,https://pypi.org/project/chatterbot,2020-08-22 18:40:36.000,18.0,25387.0,25387.0,,,,,,,,2.0,,2.0,,,,,,,,,,,,,,,,,, +108,dgl,dmlc/dgl,graph,,https://github.com/dmlc/dgl,https://github.com/dmlc/dgl,Apache-2.0,2018-04-20 14:49:09.000,2025-01-09 13:06:05.000000,2025-01-09 11:52:10,4413.0,5.0,3018.0,175.0,5058.0,539.0,2358.0,13637.0,"Python package built to ease deep learning on graph, on top of existing DL frameworks.",295.0,36,True,2024-09-03 04:16:25.000,2.4.0,453.0,dgl,,,,,477.0,329.0,https://pypi.org/project/dgl,2024-05-13 01:10:39.000,148.0,91412.0,91412.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +109,TextBlob,sloria/TextBlob,nlp,,https://github.com/sloria/TextBlob,https://github.com/sloria/TextBlob,MIT,2013-06-30 18:29:18.000,2025-01-06 23:42:51.000000,2024-08-07 18:02:18,598.0,,1151.0,262.0,199.0,112.0,171.0,9208.0,"Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation,..",37.0,36,True,2024-02-15 20:31:28.000,0.18.0,61.0,textblob,conda-forge/textblob,,,,47967.0,47577.0,https://pypi.org/project/textblob,2024-02-15 20:39:47.000,390.0,1098054.0,1100772.0,https://anaconda.org/conda-forge/textblob,2023-06-16 13:22:54.304,274608.0,,,,,2.0,125.0,,,,,,,,,,,,,,,,,,, +110,Pydub,jiaaro/pydub,audio,,https://github.com/jiaaro/pydub,https://github.com/jiaaro/pydub,MIT,2011-05-02 18:42:38.000,2024-12-19 19:56:21.550000,2022-12-08 17:49:19,746.0,,1046.0,134.0,239.0,371.0,274.0,9087.0,Manipulate audio with a simple and easy high level interface.,95.0,36,False,2021-03-10 02:10:41.000,0.25.1,68.0,pydub,conda-forge/pydub,,,,80163.0,78794.0,https://pypi.org/project/pydub,2021-03-10 02:09:53.000,1369.0,6224961.0,6227918.0,https://anaconda.org/conda-forge/pydub,2024-12-19 19:56:21.550,136060.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +111,PyOD,yzhao062/pyod,others,,https://github.com/yzhao062/pyod,https://github.com/yzhao062/pyod,BSD-2-Clause,2017-10-03 20:29:04.000,2024-12-22 09:47:16.000000,2024-12-22 09:46:56,1887.0,16.0,1377.0,146.0,258.0,222.0,148.0,8732.0,"A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques.",62.0,36,True,2024-12-22 00:23:34.000,2.0.3,95.0,pyod,conda-forge/pyod,,,,4738.0,4617.0,https://pypi.org/project/pyod,2024-12-22 00:21:49.000,121.0,576302.0,578704.0,https://anaconda.org/conda-forge/pyod,2024-09-06 15:18:34.744,134523.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +112,SpeechRecognition,Uberi/speech_recognition,audio,,https://github.com/Uberi/speech_recognition,https://github.com/Uberi/speech_recognition,BSD-3-Clause,2014-04-23 04:53:54.000,2025-01-04 15:00:53.000000,2025-01-04 15:00:53,722.0,174.0,2408.0,276.0,199.0,327.0,334.0,8524.0,"Speech recognition module for Python, supporting several engines and APIs, online and offline.",53.0,36,True,2024-12-29 09:06:43.000,3.13.0,62.0,SpeechRecognition,conda-forge/speechrecognition,,,,642.0,21.0,https://pypi.org/project/SpeechRecognition,2024-12-29 09:06:03.000,621.0,966258.0,970367.0,https://anaconda.org/conda-forge/speechrecognition,2024-12-29 16:20:38.482,217782.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +113,Metaflow,Netflix/metaflow,ml-experiments,,https://github.com/Netflix/metaflow,https://github.com/Netflix/metaflow,Apache-2.0,2019-09-17 17:48:25.000,2025-01-09 12:36:03.077000,2025-01-08 13:57:34,1148.0,77.0,782.0,292.0,1525.0,316.0,436.0,8412.0,Open Source AI/ML Platform.,100.0,36,True,2025-01-08 14:49:11.000,2.13.2,166.0,metaflow,conda-forge/metaflow,,,,834.0,786.0,https://pypi.org/project/metaflow,2025-01-08 14:49:11.000,48.0,873854.0,878350.0,https://anaconda.org/conda-forge/metaflow,2025-01-09 12:36:03.077,242830.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +114,AutoGluon,autogluon/autogluon,hyperopt,,https://github.com/autogluon/autogluon,https://github.com/autogluon/autogluon,Apache-2.0,2019-07-29 18:51:24.000,2025-01-09 13:07:22.000000,2025-01-09 13:07:22,2438.0,111.0,938.0,97.0,2761.0,383.0,1153.0,8241.0,Fast and Accurate ML in 3 Lines of Code.,131.0,36,True,2024-11-27 17:04:12.000,1.2.0,1723.0,autogluon,conda-forge/autogluon,autogluon/autogluon,https://auto.gluon.ai,"['pytorch', 'sklearn']",960.0,930.0,https://pypi.org/project/autogluon,2025-01-09 09:05:14.000,30.0,244144.0,245420.0,https://anaconda.org/conda-forge/autogluon,2024-12-12 21:03:37.076,25957.0,https://hub.docker.com/r/autogluon/autogluon,2024-03-07 07:21:23.461952,17.0,12908.0,1.0,,,,,,,,,,,,,,,,,,,, +115,MONAI,Project-MONAI/MONAI,medical-data,,https://github.com/Project-MONAI/MONAI,https://github.com/Project-MONAI/MONAI,Apache-2.0,2019-10-11 16:41:38.000,2025-01-06 10:45:21.000000,2025-01-06 10:45:21,3183.0,42.0,1108.0,89.0,3541.0,384.0,2791.0,6012.0,AI Toolkit for Healthcare Imaging.,213.0,36,True,2024-10-17 00:54:28.000,1.4.0,103.0,monai,conda-forge/monai,,,['pytorch'],3464.0,3328.0,https://pypi.org/project/monai,2024-12-10 07:27:41.000,136.0,236332.0,237326.0,https://anaconda.org/conda-forge/monai,2024-12-23 06:56:31.847,36811.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +116,MLxtend,rasbt/mlxtend,sklearn-utils,,https://github.com/rasbt/mlxtend,https://github.com/rasbt/mlxtend,BSD-3-Clause,2014-08-14 01:56:16.000,2024-11-16 09:07:24.553000,2024-11-15 00:41:39,1657.0,11.0,874.0,116.0,539.0,149.0,345.0,4938.0,A library of extension and helper modules for Pythons data analysis and machine learning libraries.,111.0,36,True,2024-11-15 00:43:08.000,0.23.3,54.0,mlxtend,conda-forge/mlxtend,,,['sklearn'],17192.0,17004.0,https://pypi.org/project/mlxtend,2024-11-15 00:43:08.000,188.0,611521.0,617759.0,https://anaconda.org/conda-forge/mlxtend,2024-11-16 09:07:24.553,336888.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +117,opencv-python,opencv/opencv-python,image,,https://github.com/opencv/opencv-python,https://github.com/opencv/opencv-python,MIT,2016-04-08 13:36:40.000,2024-12-31 09:11:39.000000,2024-12-31 09:11:39,990.0,10.0,852.0,89.0,229.0,140.0,687.0,4644.0,"Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-..",50.0,36,True,2024-06-17 17:55:00.000,84,74.0,opencv-python,,,,,502199.0,491843.0,https://pypi.org/project/opencv-python,2024-06-17 18:28:13.000,10356.0,12602249.0,12602249.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +118,Core ML Tools,apple/coremltools,model-serialisation,,https://github.com/apple/coremltools,https://github.com/apple/coremltools,BSD-3-Clause,2017-06-30 07:39:02.000,2025-01-07 18:52:23.000000,2025-01-07 18:52:23,1207.0,21.0,643.0,127.0,967.0,360.0,1116.0,4514.0,"Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.",179.0,36,True,2024-11-20 04:56:30.000,8.1,51.0,coremltools,conda-forge/coremltools,,,,4470.0,4383.0,https://pypi.org/project/coremltools,2024-11-20 04:16:26.000,87.0,501049.0,502761.0,https://anaconda.org/conda-forge/coremltools,2024-12-27 14:14:56.044,79957.0,,,,,2.0,12761.0,,,,,,,,,,,,,,,,,,, +119,plotnine,has2k1/plotnine,data-viz,,https://github.com/has2k1/plotnine,https://github.com/has2k1/plotnine,MIT,2017-04-24 19:00:44.000,2025-01-07 10:08:55.000000,2025-01-02 10:49:23,2450.0,43.0,229.0,65.0,145.0,82.0,621.0,4100.0,A Grammar of Graphics for Python.,112.0,36,True,2025-01-02 11:19:20.000,0.14.5,33.0,plotnine,conda-forge/plotnine,,,,10397.0,10062.0,https://pypi.org/project/plotnine,2025-01-02 11:06:03.000,335.0,3089185.0,3096994.0,https://anaconda.org/conda-forge/plotnine,2025-01-02 11:25:13.146,429495.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +120,PyQtGraph,pyqtgraph/pyqtgraph,data-viz,,https://github.com/pyqtgraph/pyqtgraph,https://github.com/pyqtgraph/pyqtgraph,MIT,2013-09-12 07:18:21.000,2025-01-06 17:35:47.000000,2025-01-06 17:35:40,4213.0,40.0,1107.0,155.0,1755.0,435.0,901.0,3944.0,Fast data visualization and GUI tools for scientific / engineering applications.,295.0,36,True,2024-04-29 02:18:56.000,0.13.7,25.0,pyqtgraph,conda-forge/pyqtgraph,,,,12064.0,11038.0,https://pypi.org/project/pyqtgraph,2024-04-29 02:18:56.000,1026.0,234927.0,246411.0,https://anaconda.org/conda-forge/pyqtgraph,2024-12-11 05:23:38.827,631655.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +121,optimum,huggingface/optimum,gpu-utilities,,https://github.com/huggingface/optimum,https://github.com/huggingface/optimum,Apache-2.0,2021-07-20 12:36:40.000,2025-01-09 15:10:11.000000,2025-01-09 15:10:10,1160.0,48.0,476.0,57.0,1364.0,427.0,452.0,2655.0,"Accelerate inference and training of Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware..",134.0,36,True,2024-10-29 17:44:37.000,1.23.3,74.0,optimum,conda-forge/optimum,,,,4409.0,4234.0,https://pypi.org/project/optimum,2024-10-29 17:43:29.000,175.0,859010.0,859917.0,https://anaconda.org/conda-forge/optimum,2024-05-29 19:43:21.254,29942.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +122,PennyLane,PennyLaneAI/PennyLane,others,,https://github.com/PennyLaneAI/pennylane,https://github.com/PennyLaneAI/pennylane,Apache-2.0,2018-04-17 16:45:42.000,2025-01-09 15:03:16.000000,2025-01-09 09:51:47,4930.0,317.0,611.0,46.0,5412.0,346.0,1130.0,2440.0,"PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry...",192.0,36,True,2024-11-05 19:53:48.000,0.39.0,60.0,pennylane,conda-forge/pennylane,,,,1337.0,1220.0,https://pypi.org/project/pennylane,2024-11-05 19:53:48.000,117.0,54435.0,59248.0,https://anaconda.org/conda-forge/pennylane,2024-07-09 13:59:12.283,182857.0,,,,,1.0,100.0,-1.0,,,,,,,,,,,,,,,,,, +123,Ax,facebook/Ax,hyperopt,,https://github.com/facebook/Ax,https://github.com/facebook/Ax,MIT,2019-02-09 15:23:44.000,2025-01-09 07:30:55.000000,2025-01-08 16:12:35,3680.0,334.0,311.0,70.0,2448.0,73.0,725.0,2406.0,Adaptive Experimentation Platform.,180.0,36,True,2024-09-23 20:22:26.000,0.4.3,43.0,ax-platform,conda-forge/ax-platform,,,['pytorch'],920.0,866.0,https://pypi.org/project/ax-platform,2024-09-23 20:22:26.000,54.0,106127.0,106861.0,https://anaconda.org/conda-forge/ax-platform,2024-12-23 16:47:03.234,31584.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +124,metrics,Lightning-AI/metrics,distributed-ml,,https://github.com/Lightning-AI/torchmetrics,https://github.com/Lightning-AI/torchmetrics,Apache-2.0,2020-12-22 20:02:42.000,2025-01-08 13:39:42.000000,2025-01-07 14:11:13,2028.0,86.0,405.0,35.0,1764.0,82.0,822.0,2174.0,"Machine learning metrics for distributed, scalable PyTorch applications.",262.0,36,True,2024-12-25 23:50:39.000,1.6.1,54.0,metrics,conda-forge/torchmetrics,,,['pytorch'],34990.0,34988.0,https://pypi.org/project/metrics,2018-04-28 10:58:56.000,2.0,3116.0,41253.0,https://anaconda.org/conda-forge/torchmetrics,2024-12-26 06:40:15.359,1748252.0,,,,,2.0,6076.0,,Lightning-AI/torchmetrics,,,,,,,,,,,,,,,,, +125,ArcGIS API,Esri/arcgis-python-api,geospatial-data,,https://github.com/Esri/arcgis-python-api,https://github.com/Esri/arcgis-python-api,Apache-2.0,2016-03-16 01:09:14.000,2025-01-07 03:46:12.000000,2024-12-03 16:56:50,4986.0,59.0,1102.0,149.0,1388.0,63.0,738.0,1923.0,Documentation and samples for ArcGIS API for Python.,94.0,36,True,2024-09-24 16:57:38.000,2.4.0,50.0,arcgis,,esridocker/arcgis-api-python-notebook,,,925.0,885.0,https://pypi.org/project/arcgis,2024-10-01 15:35:29.000,40.0,80455.0,80589.0,,,,https://hub.docker.com/r/esridocker/arcgis-api-python-notebook,,,,2.0,13448.0,,,,,,,,,,,,,,,,,,, +126,TensorFlow Text,tensorflow/text,nlp,,https://github.com/tensorflow/text,https://github.com/tensorflow/text,Apache-2.0,2019-05-29 22:10:03.000,2025-01-08 12:22:41.000000,2025-01-08 12:22:34,902.0,13.0,347.0,42.0,1081.0,188.0,173.0,1241.0,Making text a first-class citizen in TensorFlow.,166.0,36,True,2024-12-17 19:04:40.000,2.18.1,74.0,tensorflow-text,,,,['tensorflow'],8021.0,7802.0,https://pypi.org/project/tensorflow-text,2024-12-16 21:46:55.000,219.0,6127218.0,6127218.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +127,Fiona,Toblerity/Fiona,geospatial-data,,https://github.com/Toblerity/Fiona,https://github.com/Toblerity/Fiona,BSD-3-Clause,2011-12-31 19:47:00.000,2025-01-07 22:13:20.000000,2025-01-07 22:13:12,1570.0,7.0,206.0,47.0,626.0,34.0,776.0,1167.0,Fiona reads and writes geographic data files.,77.0,36,True,2024-09-16 20:20:31.000,1.10.1,117.0,fiona,conda-forge/fiona,,,,24254.0,23951.0,https://pypi.org/project/fiona,2024-09-16 20:14:20.000,303.0,3917990.0,4035123.0,https://anaconda.org/conda-forge/fiona,2024-12-06 18:05:16.036,6325208.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +128,pyproj,pyproj4/pyproj,geospatial-data,,https://github.com/pyproj4/pyproj,https://github.com/pyproj4/pyproj,MIT,2014-12-29 21:38:25.000,2024-12-04 13:30:48.000000,2024-12-04 13:29:21,1593.0,10.0,216.0,34.0,720.0,30.0,595.0,1081.0,Python interface to PROJ (cartographic projections and coordinate transformations library).,69.0,36,True,2024-10-01 05:02:59.000,3.7.0,63.0,pyproj,conda-forge/pyproj,,,,39426.0,37686.0,https://pypi.org/project/pyproj,2024-10-01 05:02:59.000,1740.0,7890592.0,8062904.0,https://anaconda.org/conda-forge/pyproj,2024-10-01 16:10:00.706,9304853.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +129,NIPYPE,nipy/nipype,medical-data,,https://github.com/nipy/nipype,https://github.com/nipy/nipype,Apache-2.0,2010-07-22 17:06:49.000,2024-12-23 04:20:57.000000,2024-12-17 17:48:18,15068.0,78.0,530.0,51.0,2332.0,420.0,969.0,752.0,Workflows and interfaces for neuroimaging packages.,261.0,36,True,2024-12-17 18:04:58.000,1.9.2,67.0,nipype,conda-forge/nipype,,,,5692.0,5540.0,https://pypi.org/project/nipype,2024-12-17 18:04:58.000,152.0,195007.0,208954.0,https://anaconda.org/conda-forge/nipype,2024-12-18 13:52:44.972,739204.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +130,Face Recognition,ageitgey/face_recognition,image,,https://github.com/ageitgey/face_recognition,https://github.com/ageitgey/face_recognition,MIT,2017-03-03 21:52:39.000,2024-08-21 06:22:36.000000,2022-06-10 09:12:18,238.0,,13504.0,1570.0,234.0,795.0,593.0,53880.0,The worlds simplest facial recognition api for Python and the command line.,54.0,35,False,2020-02-20 14:26:01.000,1.3.0,23.0,face_recognition,conda-forge/face_recognition,,,['pytorch'],3974.0,3858.0,https://pypi.org/project/face_recognition,2020-02-20 14:26:01.000,116.0,120483.0,121101.0,https://anaconda.org/conda-forge/face_recognition,2023-06-16 19:21:40.721,31394.0,,,,,2.0,1399.0,,,,,,,,,,,,,,,,,,, +131,Coqui TTS,coqui-ai/TTS,audio,,https://github.com/coqui-ai/TTS,https://github.com/coqui-ai/TTS,MPL-2.0,2020-05-20 15:45:28.000,2024-08-16 12:07:14.000000,2024-02-10 14:20:58,4668.0,,4374.0,296.0,752.0,88.0,1119.0,36672.0,"- a deep learning toolkit for Text-to-Speech, battle-tested in research and production.",166.0,35,True,2023-12-12 15:27:06.000,0.22.0,98.0,tts,conda-forge/tts,,,"['pytorch', 'tensorflow']",2121.0,2068.0,https://pypi.org/project/tts,2023-12-12 15:27:06.000,53.0,148215.0,234361.0,https://anaconda.org/conda-forge/tts,2023-06-16 19:27:41.222,21027.0,,,,,2.0,3937946.0,,,,,,,,,,,,,,,,,,, +132,EasyOCR,JaidedAI/EasyOCR,ocr,,https://github.com/JaidedAI/EasyOCR,https://github.com/JaidedAI/EasyOCR,Apache-2.0,2020-03-14 11:46:39.000,2024-09-24 11:34:43.000000,2024-09-24 11:18:06,618.0,,3204.0,319.0,264.0,461.0,598.0,25121.0,"Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic,..",129.0,35,True,2024-09-24 11:34:43.000,1.7.2,33.0,easyocr,,,,,10699.0,10446.0,https://pypi.org/project/easyocr,2024-09-24 11:34:43.000,253.0,635462.0,949040.0,,,,,,,,2.0,17246825.0,,,,,,,,,,,,,,,,,,, +133,haystack,deepset-ai/haystack,nlp,,https://github.com/deepset-ai/haystack,https://github.com/deepset-ai/haystack,Apache-2.0,2019-11-14 09:05:28.000,2025-01-09 15:01:53.000000,2025-01-09 11:30:13,3801.0,116.0,1966.0,143.0,4152.0,113.0,3522.0,18506.0,"AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models,..",273.0,35,True,2024-12-05 11:26:41.000,2.8.0,100.0,haystack,,,,,749.0,744.0,https://pypi.org/project/haystack,2021-12-15 14:01:39.322,5.0,5856.0,5856.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +134,ivy,unifyai/ivy,ml-frameworks,,https://github.com/ivy-llc/ivy,https://github.com/ivy-llc/ivy,Intel-ACPI,2021-01-19 08:37:25.000,2025-01-09 13:07:33.000000,2025-01-09 13:07:30,18817.0,97.0,5743.0,70.0,11752.0,942.0,15959.0,14020.0,Convert Machine Learning Code Between Frameworks.,1480.0,35,False,2024-11-03 19:38:51.000,1.0.0.1,134.0,ivy,,,,,14.0,,https://pypi.org/project/ivy,2024-11-03 21:39:07.000,14.0,18328.0,18328.0,,,,,,,,2.0,,,ivy-llc/ivy,,,,,,,,,,,,,,,,, +135,AllenNLP,allenai/allennlp,nlp,,https://github.com/allenai/allennlp,https://github.com/allenai/allennlp,Apache-2.0,2017-05-15 15:52:41.000,2023-06-16 16:12:37.768000,2022-11-22 00:42:46,2719.0,,2254.0,280.0,3096.0,91.0,2477.0,11776.0,"An open-source NLP research library, built on PyTorch.",267.0,35,False,2022-10-18 23:54:05.191,2.10.1,265.0,allennlp,conda-forge/allennlp,,,['pytorch'],4438.0,4313.0,https://pypi.org/project/allennlp,2022-10-18 23:54:05.191,125.0,46707.0,48994.0,https://anaconda.org/conda-forge/allennlp,2023-06-16 16:12:37.768,166967.0,,,,,2.0,71.0,,,,,,,,,,,,,,,,,,, +136,PyCaret,pycaret/pycaret,ml-experiments,,https://github.com/pycaret/pycaret,https://github.com/pycaret/pycaret,MIT,2019-11-23 18:40:48.000,2024-12-16 01:34:24.000000,2024-08-30 03:34:11,5357.0,,1775.0,135.0,1034.0,388.0,1950.0,9060.0,"An open-source, low-code machine learning library in Python.",141.0,35,True,2024-04-28 18:46:27.000,3.3.2,98.0,pycaret,conda-forge/pycaret,,,,6956.0,6925.0,https://pypi.org/project/pycaret,2024-04-28 18:46:21.000,31.0,288019.0,289182.0,https://anaconda.org/conda-forge/pycaret,2024-04-25 15:07:46.052,60969.0,,,,,2.0,720.0,,,,,,,,,,,,,,,,,,, +137,einops,arogozhnikov/einops,ml-frameworks,,https://github.com/arogozhnikov/einops,https://github.com/arogozhnikov/einops,MIT,2018-09-22 00:45:08.000,2025-01-08 04:07:04.000000,2025-01-08 04:05:58,702.0,5.0,352.0,69.0,130.0,32.0,155.0,8625.0,"Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others).",32.0,35,True,2024-04-28 04:07:49.000,0.8.0,15.0,einops,conda-forge/einops,,,,58546.0,56506.0,https://pypi.org/project/einops,2024-04-28 04:07:49.000,2040.0,5128593.0,5134767.0,https://anaconda.org/conda-forge/einops,2024-12-15 10:47:58.140,314890.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +138,cuDF,rapidsai/cudf,gpu-utilities,,https://github.com/rapidsai/cudf,https://github.com/rapidsai/cudf,Apache-2.0,2017-05-07 03:43:37.000,2025-01-09 13:26:11.000000,2025-01-09 02:05:41,40055.0,424.0,912.0,155.0,11066.0,1073.0,5638.0,8583.0,cuDF - GPU DataFrame Library.,299.0,35,True,2024-12-11 19:11:01.000,24.12.00,58.0,cudf,,,,,81.0,59.0,https://pypi.org/project/cudf,2020-06-01 20:07:47.000,22.0,2803.0,2803.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +139,BentoML,bentoml/BentoML,model-serialisation,,https://github.com/bentoml/BentoML,https://github.com/bentoml/BentoML,Apache-2.0,2019-04-02 01:39:27.000,2025-01-09 14:45:48.000000,2025-01-09 14:45:47,3434.0,129.0,797.0,76.0,3813.0,162.0,935.0,7262.0,"The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines,..",214.0,35,True,2025-01-06 02:42:48.000,1.3.19,174.0,bentoml,,,,,2354.0,2321.0,https://pypi.org/project/bentoml,2025-01-06 02:42:48.000,33.0,80306.0,80321.0,,,,,,,,2.0,720.0,,,,,,,,,,,,,,,,,,, +140,InterpretML,interpretml/interpret,interpretability,,https://github.com/interpretml/interpret,https://github.com/interpretml/interpret,MIT,2019-05-03 05:47:52.000,2025-01-06 17:00:17.000000,2025-01-06 09:58:54,3608.0,198.0,737.0,146.0,133.0,104.0,352.0,6346.0,Fit interpretable models. Explain blackbox machine learning.,48.0,35,True,2025-01-06 17:00:17.000,0.6.9,57.0,interpret,,,,['jupyter'],864.0,814.0,https://pypi.org/project/interpret,2025-01-06 16:54:25.000,50.0,148295.0,148295.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +141,PML,KevinMusgrave/pytorch-metric-learning,pytorch-utils,,https://github.com/KevinMusgrave/pytorch-metric-learning,https://github.com/KevinMusgrave/pytorch-metric-learning,MIT,2019-10-23 17:20:35.000,2024-12-11 19:23:54.000000,2024-12-11 19:01:35,1284.0,51.0,657.0,62.0,145.0,71.0,450.0,6066.0,"The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.",46.0,35,True,2024-12-11 19:23:54.000,2.8.1,215.0,pytorch-metric-learning,metric-learning/pytorch-metric-learning,,,['pytorch'],2261.0,2206.0,https://pypi.org/project/pytorch-metric-learning,2024-12-11 19:21:13.000,55.0,699623.0,699828.0,https://anaconda.org/metric-learning/pytorch-metric-learning,2023-06-16 19:17:36.446,12342.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +142,Ignite,pytorch/ignite,ml-frameworks,,https://github.com/pytorch/ignite,https://github.com/pytorch/ignite,BSD-3-Clause,2017-11-23 17:31:21.000,2025-01-09 09:23:28.000000,2025-01-04 10:16:52,1749.0,22.0,622.0,60.0,1898.0,159.0,1273.0,4567.0,High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,738.0,35,True,2024-08-13 12:47:02.000,0.5.1,1854.0,pytorch-ignite,pytorch/ignite,,,['pytorch'],3559.0,3458.0,https://pypi.org/project/pytorch-ignite,2025-01-09 00:19:03.000,101.0,110504.0,113203.0,https://anaconda.org/pytorch/ignite,2024-08-13 12:46:51.642,213262.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +143,spark-nlp,JohnSnowLabs/spark-nlp,nlp,,https://github.com/JohnSnowLabs/spark-nlp,https://github.com/JohnSnowLabs/spark-nlp,Apache-2.0,2017-09-24 19:36:44.000,2025-01-09 09:25:54.000000,2024-12-20 11:15:55,8639.0,36.0,715.0,101.0,13396.0,35.0,866.0,3893.0,State of the Art Natural Language Processing.,114.0,35,True,2024-12-18 17:20:39.000,5.5.2,150.0,spark-nlp,,,,['spark'],572.0,535.0,https://pypi.org/project/spark-nlp,2024-12-18 16:04:08.000,37.0,4039369.0,4039369.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +144,torchaudio,pytorch/audio,audio,,https://github.com/pytorch/audio,https://github.com/pytorch/audio,BSD-2-Clause,2017-05-05 00:38:05.000,2025-01-09 11:34:35.000000,2024-12-20 23:50:21,2324.0,9.0,655.0,73.0,2919.0,263.0,729.0,2577.0,"Data manipulation and transformation for audio signal processing, powered by PyTorch.",229.0,35,True,2024-10-29 17:41:14.000,2.5.1,39.0,torchaudio,,,,['pytorch'],1399.0,,https://pypi.org/project/torchaudio,2024-10-29 17:41:14.000,1399.0,4461477.0,4461477.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +145,Graphviz,xflr6/graphviz,data-viz,,https://github.com/xflr6/graphviz,https://github.com/xflr6/graphviz,MIT,2014-01-12 17:49:29.000,2024-05-13 18:30:44.000000,2024-05-13 18:28:50,1241.0,,213.0,32.0,47.0,12.0,171.0,1667.0,Simple Python interface for Graphviz.,23.0,35,True,2024-03-21 07:50:43.000,0.20.3,58.0,graphviz,anaconda/python-graphviz,,,,82253.0,79634.0,https://pypi.org/project/graphviz,2024-03-21 07:50:43.000,2619.0,14072259.0,14072809.0,https://anaconda.org/anaconda/python-graphviz,2024-04-08 21:04:04.101,51171.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +146,arviz,arviz-devs/arviz,interpretability,,https://github.com/arviz-devs/arviz,https://github.com/arviz-devs/arviz,Apache-2.0,2015-07-29 11:51:10.000,2024-12-24 17:15:08.000000,2024-12-24 17:15:04,1575.0,7.0,408.0,49.0,1526.0,182.0,690.0,1630.0,Exploratory analysis of Bayesian models with Python.,164.0,35,True,2024-09-28 20:50:27.000,0.20.0,39.0,arviz,conda-forge/arviz,,,,9075.0,8762.0,https://pypi.org/project/arviz,2024-09-28 20:50:27.000,313.0,1089321.0,1129982.0,https://anaconda.org/conda-forge/arviz,2024-12-13 11:00:38.877,2276949.0,,,,,1.0,177.0,,,,,,,,,,,,,,,,,,, +147,scikit-learn-intelex,intel/scikit-learn-intelex,sklearn-utils,,https://github.com/uxlfoundation/scikit-learn-intelex,https://github.com/uxlfoundation/scikit-learn-intelex,Apache-2.0,2018-08-07 06:45:41.000,2025-01-09 13:30:31.000000,2025-01-09 13:30:00,1984.0,125.0,177.0,29.0,1961.0,43.0,197.0,1238.0,Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application.,83.0,35,True,2024-12-12 12:04:02.000,2025.0.1,32.0,scikit-learn-intelex,conda-forge/scikit-learn-intelex,,,['sklearn'],12854.0,12799.0,https://pypi.org/project/scikit-learn-intelex,2024-12-12 12:04:02.000,55.0,83179.0,92167.0,https://anaconda.org/conda-forge/scikit-learn-intelex,2024-11-13 16:09:05.160,404465.0,,,,,1.0,,,uxlfoundation/scikit-learn-intelex,,,,,,,,,,,,,,,,, +148,NiBabel,nipy/nibabel,medical-data,,https://github.com/nipy/nibabel,https://github.com/nipy/nibabel,MIT,2010-07-22 16:28:30.000,2024-12-12 17:03:50.685000,2024-12-07 02:29:14,6055.0,24.0,259.0,37.0,860.0,130.0,415.0,669.0,Python package to access a cacophony of neuro-imaging file formats.,106.0,35,True,2024-10-23 14:19:52.000,5.3.2,45.0,nibabel,conda-forge/nibabel,,,,25339.0,24158.0,https://pypi.org/project/nibabel,2024-10-23 14:19:52.000,1181.0,481957.0,496858.0,https://anaconda.org/conda-forge/nibabel,2024-12-12 17:03:50.685,819607.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +149,detectron2,facebookresearch/detectron2,image,,https://github.com/facebookresearch/detectron2,https://github.com/facebookresearch/detectron2,Apache-2.0,2019-09-05 21:30:20.000,2024-12-19 21:33:27.000000,2024-12-19 21:30:34,1539.0,7.0,7505.0,391.0,694.0,542.0,3081.0,30971.0,"Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.",275.0,34,True,2021-11-15 22:08:26.000,0.6,10.0,detectron2,conda-forge/detectron2,,,['pytorch'],2227.0,2214.0,https://pypi.org/project/detectron2,2020-02-06 00:35:57.000,13.0,,9711.0,https://anaconda.org/conda-forge/detectron2,2024-11-06 15:19:24.704,524431.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +150,fastText,facebookresearch/fastText,nlp,,https://github.com/facebookresearch/fastText,https://github.com/facebookresearch/fastText,MIT,2016-07-16 13:38:42.000,2024-06-12 09:44:40.000000,2024-03-13 15:16:33,391.0,,4719.0,846.0,268.0,555.0,611.0,26012.0,Library for fast text representation and classification.,68.0,34,True,2024-06-12 09:44:40.000,0.9.3,37.0,fasttext,conda-forge/fasttext,,,,7308.0,7061.0,https://pypi.org/project/fasttext,2024-06-12 09:44:40.000,247.0,1677544.0,1679777.0,https://anaconda.org/conda-forge/fasttext,2024-05-19 03:10:51.802,116164.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +151,Recommenders,microsoft/recommenders,recommender-systems,,https://github.com/recommenders-team/recommenders,https://github.com/recommenders-team/recommenders,MIT,2018-09-19 10:06:07.000,2025-01-05 16:14:57.000000,2024-12-23 13:35:54,9029.0,14.0,3127.0,275.0,1306.0,159.0,716.0,19581.0,Best Practices on Recommendation Systems.,137.0,34,True,2024-12-24 07:39:57.000,1.2.1,14.0,recommenders,,,,,149.0,145.0,https://pypi.org/project/recommenders,2024-12-24 07:18:07.000,4.0,35355.0,35363.0,,,,,,,,1.0,656.0,,recommenders-team/recommenders,,,,,,,,,,,,,,,,, +152,Annoy,spotify/annoy,nn-search,,https://github.com/spotify/annoy,https://github.com/spotify/annoy,Apache-2.0,2013-04-01 20:29:40.000,2024-09-05 05:37:11.713000,2024-07-29 00:37:39,894.0,,1182.0,318.0,269.0,64.0,343.0,13400.0,Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk.,88.0,34,True,2023-06-14 16:39:02.504,1.17.3,47.0,annoy,conda-forge/python-annoy,,,,4816.0,4615.0,https://pypi.org/project/annoy,2023-06-14 16:39:02.504,201.0,883225.0,894782.0,https://anaconda.org/conda-forge/python-annoy,2024-09-05 05:37:11.713,601008.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +153,Datasette,simonw/datasette,others,,https://github.com/simonw/datasette,https://github.com/simonw/datasette,Apache-2.0,2017-10-23 00:39:03.000,2025-01-01 23:41:42.000000,2025-01-01 23:41:42,2664.0,5.0,695.0,105.0,499.0,610.0,1265.0,9705.0,An open source multi-tool for exploring and publishing data.,81.0,34,True,2024-11-29 01:18:11.000,0.65.1,154.0,datasette,conda-forge/datasette,,,,1804.0,1389.0,https://pypi.org/project/datasette,2024-11-29 01:18:11.000,415.0,211470.0,212606.0,https://anaconda.org/conda-forge/datasette,2024-11-30 17:36:40.595,51116.0,,,,,2.0,70.0,,,,,,,,,datasette,,,,,,,,,, +154,PySyft,OpenMined/PySyft,privacy-ml,,https://github.com/OpenMined/PySyft,https://github.com/OpenMined/PySyft,Apache-2.0,2017-07-18 20:41:16.000,2024-12-23 02:54:43.000000,2024-11-03 12:40:00,33357.0,39.0,1994.0,198.0,5868.0,46.0,3393.0,9578.0,Perform data science on data that remains in someone elses server.,515.0,34,True,2024-10-30 16:39:01.000,0.9.2,323.0,syft,,,,['pytorch'],5.0,1.0,https://pypi.org/project/syft,2024-11-03 12:40:12.000,4.0,15314.0,15487.0,,,,,,,,1.0,2432.0,-1.0,,,,,,,,,,,,,,,,,, +155,PyTorch3D,facebookresearch/pytorch3d,image,,https://github.com/facebookresearch/pytorch3d,https://github.com/facebookresearch/pytorch3d,,2019-10-25 02:23:45.000,2025-01-06 12:21:52.000000,2025-01-06 12:17:57,1197.0,18.0,1318.0,149.0,182.0,277.0,1365.0,8965.0,PyTorch3D is FAIRs library of reusable components for deep learning with 3D data.,153.0,34,False,2024-09-13 14:37:23.000,V0.7.8,19.0,pytorch3d,pytorch3d/pytorch3d,,,['pytorch'],1100.0,1086.0,https://pypi.org/project/pytorch3d,2022-04-28 15:53:26.000,14.0,4162.0,8702.0,https://anaconda.org/pytorch3d/pytorch3d,2024-09-13 14:58:15.228,281495.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +156,PaddleSeg,PaddlePaddle/PaddleSeg,image,,https://github.com/PaddlePaddle/PaddleSeg,https://github.com/PaddlePaddle/PaddleSeg,Apache-2.0,2019-08-26 02:32:22.000,2025-01-08 09:52:41.000000,2024-12-25 06:44:36,2948.0,12.0,1687.0,94.0,1706.0,21.0,2134.0,8806.0,"Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in..",131.0,34,True,2024-11-05 11:28:52.000,2.10.0,20.0,paddleseg,,,,['paddle'],1345.0,1338.0,https://pypi.org/project/paddleseg,2022-11-30 11:24:02.578,7.0,1725.0,1725.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +157,Perspective,finos/perspective,data-viz,,https://github.com/finos/perspective,https://github.com/finos/perspective,Apache-2.0,2017-11-02 16:27:54.000,2025-01-09 05:52:19.000000,2025-01-02 05:46:24,6221.0,120.0,1194.0,125.0,1773.0,114.0,733.0,8719.0,"A data visualization and analytics component, especially well-suited for large and/or streaming datasets.",98.0,34,True,2024-12-23 07:07:47.000,3.2.1,141.0,perspective-python,conda-forge/perspective,,,['jupyter'],192.0,158.0,https://pypi.org/project/perspective-python,2024-12-23 07:03:32.000,28.0,12541.0,39613.0,https://anaconda.org/conda-forge/perspective,2024-12-25 04:48:33.228,1444168.0,,,,,2.0,7670.0,,,@finos/perspective-jupyterlab,https://www.npmjs.com/package/@finos/perspective-jupyterlab,2024-12-23 07:05:48.923,6.0,389.0,,,,,,,,,,,, +158,Vowpal Wabbit,VowpalWabbit/vowpal_wabbit,ml-frameworks,,https://github.com/VowpalWabbit/vowpal_wabbit,https://github.com/VowpalWabbit/vowpal_wabbit,BSD-3-Clause,2009-07-31 19:36:58.000,2024-11-27 22:22:10.016000,2024-08-01 18:55:53,10421.0,,1925.0,351.0,3431.0,134.0,1140.0,8514.0,Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as..,338.0,34,True,2024-08-08 17:57:21.000,9.10.0,30.0,vowpalwabbit,conda-forge/vowpalwabbit,,,,41.0,1.0,https://pypi.org/project/vowpalwabbit,2024-08-08 17:57:21.000,40.0,27735.0,32952.0,https://anaconda.org/conda-forge/vowpalwabbit,2024-11-27 22:22:10.016,266090.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +159,tensorboardX,lanpa/tensorboardX,ml-experiments,,https://github.com/lanpa/tensorboardX,https://github.com/lanpa/tensorboardX,MIT,2017-06-13 13:54:19.000,2025-01-01 16:22:54.000000,2025-01-01 16:22:53,542.0,14.0,862.0,85.0,290.0,81.0,376.0,7895.0,"tensorboard for pytorch (and chainer, mxnet, numpy, ...).",82.0,34,True,2023-07-30 14:05:26.000,2.6.2,24.0,tensorboardX,conda-forge/tensorboardx,,,,52913.0,52288.0,https://pypi.org/project/tensorboardX,2023-08-20 13:38:18.000,625.0,2453326.0,2476425.0,https://anaconda.org/conda-forge/tensorboardx,2024-12-20 17:16:01.349,1247088.0,,,,,2.0,455.0,,,,,,,,,,,,,,,,,,, +160,UMAP,lmcinnes/umap,data-viz,,https://github.com/lmcinnes/umap,https://github.com/lmcinnes/umap,BSD-3-Clause,2017-07-02 01:11:17.000,2024-11-29 15:34:40.000000,2024-11-29 15:34:40,1865.0,29.0,810.0,127.0,291.0,485.0,341.0,7557.0,Uniform Manifold Approximation and Projection.,138.0,34,True,2024-10-28 18:05:55.000,0.5.7,41.0,umap-learn,conda-forge/umap-learn,,,,1061.0,1.0,https://pypi.org/project/umap-learn,2024-10-28 18:05:55.000,1060.0,1321749.0,1372043.0,https://anaconda.org/conda-forge/umap-learn,2024-10-29 17:21:14.789,2766208.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +161,stanza,stanfordnlp/stanza,nlp,,https://github.com/stanfordnlp/stanza,https://github.com/stanfordnlp/stanza,Apache-2.0,2017-09-26 08:00:56.000,2025-01-07 08:50:35.000000,2024-12-24 06:19:04,4785.0,98.0,895.0,140.0,502.0,94.0,817.0,7333.0,"Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages.",69.0,34,True,2024-12-29 06:54:23.000,1.10.1,30.0,stanza,stanfordnlp/stanza,,,,3586.0,3390.0,https://pypi.org/project/stanza,2024-12-24 06:07:22.000,196.0,217586.0,217729.0,https://anaconda.org/stanfordnlp/stanza,2023-06-16 19:18:21.932,8323.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +162,H2O-3,h2oai/h2o-3,distributed-ml,,https://github.com/h2oai/h2o-3,https://github.com/h2oai/h2o-3,Apache-2.0,2014-03-03 16:08:07.000,2025-01-09 00:36:25.000000,2024-12-18 07:37:27,32554.0,33.0,2004.0,386.0,6901.0,2850.0,6683.0,6982.0,"H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM)..",269.0,34,True,,,156.0,h2o,,,,,70.0,21.0,https://pypi.org/project/h2o,2024-11-02 07:09:16.000,49.0,205060.0,205060.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +163,imbalanced-learn,scikit-learn-contrib/imbalanced-learn,sklearn-utils,,https://github.com/scikit-learn-contrib/imbalanced-learn,https://github.com/scikit-learn-contrib/imbalanced-learn,MIT,2014-08-16 05:08:26.000,2024-12-23 16:42:48.000000,2024-12-23 16:42:41,883.0,14.0,1289.0,143.0,515.0,48.0,569.0,6888.0,A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning.,86.0,34,True,2024-12-20 18:36:46.000,0.13.0,39.0,imbalanced-learn,conda-forge/imbalanced-learn,,,['sklearn'],476.0,,https://pypi.org/project/imbalanced-learn,2024-12-20 16:50:20.000,476.0,14225553.0,14237378.0,https://anaconda.org/conda-forge/imbalanced-learn,2024-12-20 17:56:21.144,650384.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +164,DEAP,deap/deap,distributed-ml,,https://github.com/DEAP/deap,https://github.com/DEAP/deap,LGPL-3.0,2014-05-21 20:07:39.000,2025-01-09 14:42:50.000000,2025-01-09 14:42:49,2349.0,15.0,1123.0,190.0,242.0,279.0,285.0,5915.0,Distributed Evolutionary Algorithms in Python.,90.0,34,False,2023-07-21 10:51:54.000,1.4.1,27.0,deap,conda-forge/deap,,,,5910.0,5658.0,https://pypi.org/project/deap,2023-07-21 10:51:54.000,252.0,200558.0,209893.0,https://anaconda.org/conda-forge/deap,2024-09-03 13:46:04.210,476130.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +165,DeepChem,deepchem/deepchem,others,,https://github.com/deepchem/deepchem,https://github.com/deepchem/deepchem,MIT,2015-09-24 23:20:28.000,2025-01-08 18:07:45.000000,2025-01-08 17:16:40,10570.0,34.0,1717.0,144.0,2512.0,671.0,1241.0,5651.0,"Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology.",252.0,34,True,2024-04-03 16:21:23.000,2.8.0,958.0,deepchem,conda-forge/deepchem,,,['tensorflow'],503.0,488.0,https://pypi.org/project/deepchem,2025-01-08 18:07:45.000,15.0,51466.0,53509.0,https://anaconda.org/conda-forge/deepchem,2024-04-05 16:46:45.105,112388.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +166,mlpack,mlpack/mlpack,ml-frameworks,,https://github.com/mlpack/mlpack,https://github.com/mlpack/mlpack,BSD-3-Clause,2014-12-17 18:16:59.000,2025-01-09 09:09:03.000000,2025-01-09 09:09:03,30576.0,143.0,1613.0,189.0,2237.0,28.0,1615.0,5190.0,"mlpack: a fast, header-only C++ machine learning library.",327.0,34,True,2024-12-11 15:13:47.000,4.5.1,49.0,mlpack,conda-forge/mlpack,,,,6.0,,https://pypi.org/project/mlpack,2024-12-11 15:13:47.000,6.0,5945.0,11208.0,https://anaconda.org/conda-forge/mlpack,2024-09-22 00:54:14.076,289513.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +167,Captum,pytorch/captum,interpretability,,https://github.com/pytorch/captum,https://github.com/pytorch/captum,BSD-3-Clause,2019-08-27 15:34:41.000,2024-12-31 18:30:12.000000,2024-12-31 18:24:07,1239.0,101.0,500.0,280.0,928.0,249.0,342.0,5022.0,Model interpretability and understanding for PyTorch.,125.0,34,True,2023-12-05 09:21:02.000,0.7.0,10.0,captum,conda-forge/captum,,,['pytorch'],2843.0,2717.0,https://pypi.org/project/captum,2023-12-05 08:32:04.000,126.0,274453.0,277341.0,https://anaconda.org/conda-forge/captum,2023-06-16 19:28:19.191,106878.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +168,ART,Trusted-AI/adversarial-robustness-toolbox,adversarial,,https://github.com/Trusted-AI/adversarial-robustness-toolbox,https://github.com/Trusted-AI/adversarial-robustness-toolbox,MIT,2018-03-15 14:40:43.000,2025-01-09 14:10:01.000000,2024-12-20 00:33:15,12510.0,54.0,1171.0,101.0,1413.0,144.0,880.0,4984.0,"Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction,..",140.0,34,True,2024-12-20 00:51:46.000,1.19.0,62.0,adversarial-robustness-toolbox,conda-forge/adversarial-robustness-toolbox,,,,659.0,639.0,https://pypi.org/project/adversarial-robustness-toolbox,2024-12-20 00:38:03.000,20.0,49451.0,50532.0,https://anaconda.org/conda-forge/adversarial-robustness-toolbox,2024-12-30 16:03:26.015,58413.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +169,StatsForecast,Nixtla/statsforecast,time-series-data,,https://github.com/Nixtla/statsforecast,https://github.com/Nixtla/statsforecast,Apache-2.0,2021-11-24 02:19:14.000,2024-12-30 17:22:43.000000,2024-12-30 17:20:19,1353.0,23.0,291.0,41.0,501.0,103.0,252.0,4073.0,Lightning fast forecasting with statistical and econometric models.,48.0,34,True,2024-11-26 23:47:16.000,2.0.0,38.0,statsforecast,conda-forge/statsforecast,,,,1411.0,1352.0,https://pypi.org/project/statsforecast,2024-11-26 23:47:16.000,59.0,926477.0,930041.0,https://anaconda.org/conda-forge/statsforecast,2024-12-05 02:05:49.029,121207.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +170,BoTorch,pytorch/botorch,hyperopt,,https://github.com/pytorch/botorch,https://github.com/pytorch/botorch,MIT,2018-07-30 23:59:57.000,2025-01-09 04:27:12.000000,2025-01-07 13:36:23,2075.0,61.0,405.0,52.0,1828.0,79.0,487.0,3141.0,Bayesian optimization in PyTorch.,135.0,34,True,2024-09-17 16:43:01.000,0.12.0,47.0,botorch,conda-forge/botorch,,,['pytorch'],1371.0,1287.0,https://pypi.org/project/botorch,2024-09-17 16:43:01.000,84.0,187332.0,189898.0,https://anaconda.org/conda-forge/botorch,2024-12-19 17:35:43.917,136005.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +171,hdbscan,scikit-learn-contrib/hdbscan,others,,https://github.com/scikit-learn-contrib/hdbscan,https://github.com/scikit-learn-contrib/hdbscan,BSD-3-Clause,2015-04-22 13:32:37.000,2025-01-09 00:10:06.000000,2025-01-09 00:10:05,1065.0,24.0,505.0,56.0,153.0,359.0,171.0,2834.0,A high performance implementation of HDBSCAN clustering.,96.0,34,True,2024-11-18 16:14:10.000,0.8.40,57.0,hdbscan,conda-forge/hdbscan,,,['sklearn'],4903.0,4551.0,https://pypi.org/project/hdbscan,2024-11-18 16:14:10.000,352.0,539645.0,584411.0,https://anaconda.org/conda-forge/hdbscan,2024-10-12 13:49:18.321,2283100.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +172,Thinc,explosion/thinc,ml-frameworks,,https://github.com/explosion/thinc,https://github.com/explosion/thinc,MIT,2014-10-16 16:34:59.000,2024-12-16 12:35:23.000000,2024-12-11 13:00:06,5345.0,1.0,277.0,79.0,798.0,21.0,129.0,2829.0,"A refreshing functional take on deep learning, compatible with your favorite libraries.",66.0,34,True,2024-12-16 12:35:23.000,8.3.3,242.0,thinc,conda-forge/thinc,,,,58892.0,58742.0,https://pypi.org/project/thinc,2024-12-16 12:35:23.000,150.0,9340009.0,9398134.0,https://anaconda.org/conda-forge/thinc,2024-12-03 05:26:04.520,3254718.0,,,,,2.0,667.0,,,,,,,,,,,,,,,,,,, +173,snakemake,snakemake/snakemake,ml-experiments,,https://github.com/snakemake/snakemake,https://github.com/snakemake/snakemake,MIT,2015-10-17 15:43:54.867,2025-01-08 21:05:49.978000,2025-01-08 19:25:35,5376.0,73.0,562.0,20.0,1474.0,1136.0,714.0,2341.0,"This is the development home of the workflow management system Snakemake. For general information, see.",347.0,34,True,2025-01-08 19:26:46.000,8.27.1,376.0,snakemake,bioconda/snakemake,,,,2459.0,2202.0,https://pypi.org/project/snakemake,2025-01-08 19:26:46.000,257.0,79539.0,91100.0,https://anaconda.org/bioconda/snakemake,2025-01-08 21:05:49.978,1283317.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +174,TFX,tensorflow/tfx,tensorflow-utils,,https://github.com/tensorflow/tfx,https://github.com/tensorflow/tfx,Apache-2.0,2019-02-04 17:14:36.000,2024-12-24 01:00:06.000000,2024-12-12 02:46:04,5965.0,59.0,714.0,88.0,6050.0,257.0,870.0,2121.0,TFX is an end-to-end platform for deploying production ML pipelines.,192.0,34,True,2024-12-11 20:13:47.000,1.16.0,100.0,tfx,,,,['tensorflow'],1670.0,1653.0,https://pypi.org/project/tfx,2024-12-11 20:13:47.000,17.0,26803.0,26803.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +175,jellyfish,jamesturk/jellyfish,nlp,,https://github.com/jamesturk/jellyfish,https://github.com/jamesturk/jellyfish,MIT,2010-07-09 20:41:11.000,2024-12-31 03:17:58.000000,2024-12-31 03:17:57,575.0,10.0,159.0,43.0,85.0,7.0,137.0,2082.0,a python library for doing approximate and phonetic matching of strings.,34.0,34,True,2024-12-14 19:43:04.000,1.1.3,46.0,jellyfish,conda-forge/jellyfish,,,,12422.0,12146.0,https://pypi.org/project/jellyfish,2024-12-14 19:43:04.000,276.0,6754260.0,6775417.0,https://anaconda.org/conda-forge/jellyfish,2024-12-17 14:25:05.549,1163663.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +176,cartopy,SciTools/cartopy,data-viz,,https://github.com/SciTools/cartopy,https://github.com/SciTools/cartopy,BSD-3-Clause,2012-08-03 07:43:59.000,2025-01-06 22:33:49.000000,2025-01-06 22:33:47,3130.0,35.0,365.0,55.0,1222.0,313.0,994.0,1450.0,Cartopy - a cartographic python library with matplotlib support.,130.0,34,True,2024-10-08 23:24:50.000,0.24.1,32.0,cartopy,conda-forge/cartopy,,,,7014.0,6296.0,https://pypi.org/project/cartopy,2024-10-08 23:24:50.000,718.0,312298.0,390274.0,https://anaconda.org/conda-forge/cartopy,2024-10-07 23:20:51.384,4366707.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +177,agate,wireservice/agate,others,,https://github.com/wireservice/agate,https://github.com/wireservice/agate,MIT,2014-04-25 13:59:09.000,2024-12-17 14:21:05.486000,2024-07-30 00:56:56,1557.0,,155.0,40.0,132.0,4.0,645.0,1173.0,A Python data analysis library that is optimized for humans instead of machines.,53.0,34,True,2024-07-30 00:58:25.000,1.12.0,37.0,agate,conda-forge/agate,,,,4320.0,4271.0,https://pypi.org/project/agate,2024-07-30 00:58:25.000,49.0,12875373.0,12881399.0,https://anaconda.org/conda-forge/agate,2024-12-17 14:21:05.486,265161.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +178,patsy,pydata/patsy,probabilistics,,https://github.com/pydata/patsy,https://github.com/pydata/patsy,BSD-2-Clause,2012-07-10 12:30:06.000,2025-01-06 18:15:37.000000,2025-01-06 18:15:37,581.0,23.0,104.0,35.0,73.0,72.0,84.0,960.0,Describing statistical models in Python using symbolic formulas.,22.0,34,True,2024-11-12 14:10:52.000,1.0.1,15.0,patsy,conda-forge/patsy,,,,113633.0,113100.0,https://pypi.org/project/patsy,2024-11-12 14:10:52.000,533.0,13097506.0,13436999.0,https://anaconda.org/conda-forge/patsy,2024-12-10 01:03:13.551,13579753.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +179,ColossalAI,hpcaitech/colossalai,distributed-ml,,https://github.com/hpcaitech/ColossalAI,https://github.com/hpcaitech/ColossalAI,Apache-2.0,2021-10-28 16:19:44.000,2025-01-08 03:51:50.000000,2025-01-08 03:51:50,3784.0,64.0,4349.0,386.0,4258.0,449.0,1270.0,39010.0,"Making large AI models cheaper, faster and more accessible.",192.0,33,True,2025-01-03 03:53:16.000,0.4.7,47.0,,,,,,457.0,457.0,,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +180,tinygrad,geohot/tinygrad,pytorch-utils,,https://github.com/tinygrad/tinygrad,https://github.com/tinygrad/tinygrad,MIT,2020-10-18 16:23:12.000,2025-01-09 15:03:11.000000,2025-01-09 11:37:22,7451.0,1157.0,3000.0,275.0,7609.0,134.0,705.0,27441.0,You like pytorch? You like micrograd? You love tinygrad!.,361.0,33,True,2024-11-19 00:48:26.000,0.10.0,9.0,,,,,['pytorch'],151.0,151.0,,,,,,,,,,,,,1.0,,,tinygrad/tinygrad,,,,,,,,,,,,,,,,, +181,MindsDB,mindsdb/mindsdb,ml-frameworks,,https://github.com/mindsdb/mindsdb,https://github.com/mindsdb/mindsdb,MulanPSL-1.0,2018-08-02 17:56:45.000,2025-01-09 00:09:56.000000,2025-01-09 00:09:54,18966.0,282.0,4888.0,396.0,5750.0,153.0,4001.0,27058.0,AGIs query engine - Platform for building AI that can learn and answer questions over federated data.,864.0,33,False,2025-01-07 12:37:01.000,25.1.2.0,510.0,mindsdb,,,,['pytorch'],,,https://pypi.org/project/mindsdb,2025-01-07 12:38:06.000,,16305.0,16305.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +182,DeepSpeech,mozilla/DeepSpeech,audio,,https://github.com/mozilla/DeepSpeech,https://github.com/mozilla/DeepSpeech,MPL-2.0,2016-06-02 15:04:53.000,2024-09-03 21:17:43.000000,2021-11-17 17:52:52,3466.0,,3975.0,674.0,1678.0,151.0,1986.0,25584.0,"DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices..",163.0,33,False,2020-12-10 17:22:09.000,0.9.3,100.0,deepspeech,conda-forge/deepspeech,,,['tensorflow'],512.0,488.0,https://pypi.org/project/deepspeech,2020-12-19 10:05:12.000,24.0,19544.0,35693.0,https://anaconda.org/conda-forge/deepspeech,2023-06-16 19:27:01.157,3444.0,,,,,2.0,1221131.0,,,,,,,,,,,,,,,,,,, +183,qdrant,qdrant/qdrant,nlp,,https://github.com/qdrant/qdrant,https://github.com/qdrant/qdrant,Apache-2.0,2020-05-30 21:37:01.000,2025-01-09 14:44:52.000000,2025-01-08 14:43:27,3758.0,383.0,1443.0,129.0,4122.0,348.0,1044.0,21263.0,"Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also..",129.0,33,True,2025-01-08 19:45:07.000,1.12.6,90.0,,,,,,116.0,116.0,,,,,6082.0,,,,,,,,2.0,273706.0,,,,,,,,,,,,,,,,,,, +184,Magenta,magenta/magenta,audio,,https://github.com/magenta/magenta,https://github.com/magenta/magenta,Apache-2.0,2016-05-05 20:10:40.000,2024-11-19 19:28:48.000000,2024-08-01 02:26:04,1422.0,,3739.0,754.0,1141.0,417.0,589.0,19272.0,Magenta: Music and Art Generation with Machine Intelligence.,155.0,33,True,2023-12-02 01:16:14.308,0.1.0,68.0,magenta,,,,['tensorflow'],557.0,552.0,https://pypi.org/project/magenta,2022-08-01 18:23:00.243,5.0,8246.0,8246.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +185,Lime,marcotcr/lime,interpretability,,https://github.com/marcotcr/lime,https://github.com/marcotcr/lime,BSD-2-Clause,2016-03-15 22:18:10.000,2024-12-21 10:45:53.176000,2021-07-29 23:17:25,531.0,,1811.0,262.0,117.0,120.0,535.0,11694.0,Lime: Explaining the predictions of any machine learning classifier.,62.0,33,False,2020-04-03 22:05:03.000,0.2.0.0,39.0,lime,conda-forge/lime,,,,7275.0,7072.0,https://pypi.org/project/lime,2020-06-26 21:38:15.000,203.0,157788.0,162202.0,https://anaconda.org/conda-forge/lime,2024-12-21 10:45:53.176,242793.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +186,wordcloud,amueller/word_cloud,data-viz,,https://github.com/amueller/word_cloud,https://github.com/amueller/word_cloud,MIT,2012-11-04 22:57:59.000,2024-12-02 14:23:48.392000,2024-11-10 14:19:33,580.0,2.0,2315.0,219.0,255.0,130.0,419.0,10240.0,A little word cloud generator in Python.,72.0,33,True,2024-11-10 14:34:59.000,1.9.4,21.0,wordcloud,conda-forge/wordcloud,,,,567.0,21.0,https://pypi.org/project/wordcloud,2024-11-10 14:34:59.000,546.0,1624479.0,1635406.0,https://anaconda.org/conda-forge/wordcloud,2024-12-02 14:23:48.392,590081.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +187,Hyperopt,hyperopt/hyperopt,hyperopt,,https://github.com/hyperopt/hyperopt,https://github.com/hyperopt/hyperopt,BSD-3-Clause,2011-09-06 22:24:59.000,2024-12-27 12:36:14.000000,2024-12-27 12:36:14,1223.0,2.0,1051.0,121.0,278.0,143.0,556.0,7307.0,Distributed Asynchronous Hyperparameter Optimization in Python.,105.0,33,True,2021-11-17 10:07:00.808,0.2.7,13.0,hyperopt,conda-forge/hyperopt,,,,19119.0,18666.0,https://pypi.org/project/hyperopt,2021-11-17 10:07:00.808,453.0,1887120.0,1902954.0,https://anaconda.org/conda-forge/hyperopt,2024-12-20 15:53:47.629,807558.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +188,BigDL,intel-analytics/BigDL,distributed-ml,,https://github.com/intel-analytics/ipex-llm,https://github.com/intel-analytics/ipex-llm,Apache-2.0,2016-08-29 07:59:50.000,2025-01-09 14:24:57.000000,2025-01-09 11:10:57,3869.0,359.0,1282.0,253.0,9993.0,1032.0,1652.0,6891.0,"Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, Mixtral, Gemma, Phi, MiniCPM, Qwen-VL,..",114.0,33,True,2024-08-22 09:06:57.000,2.1.0,869.0,bigdl,,,,,7.0,,https://pypi.org/project/bigdl,2024-03-24 14:04:20.000,2.0,27610.0,27617.0,,,,,,,,2.0,645.0,,intel-analytics/ipex-llm,,,,,,,,,,,com.intel.analytics.bigdl:bigdl-SPARK_2.4,https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4,2021-04-20 01:33:14,5.0,,, +189,OpenNMT,OpenNMT/OpenNMT-py,nlp,,https://github.com/OpenNMT/OpenNMT-py,https://github.com/OpenNMT/OpenNMT-py,MIT,2017-02-22 19:01:50.000,2025-01-08 20:49:58.000000,2024-06-27 17:56:21,2895.0,,2243.0,178.0,1153.0,27.0,1429.0,6801.0,Open Source Neural Machine Translation and (Large) Language Models in PyTorch.,192.0,33,True,2024-03-18 14:02:12.000,3.5.1,50.0,OpenNMT-py,,,,['pytorch'],328.0,305.0,https://pypi.org/project/OpenNMT-py,2024-03-18 14:02:12.000,23.0,11668.0,11668.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +190,tensorpack,tensorpack/tensorpack,ml-frameworks,,https://github.com/tensorpack/tensorpack,https://github.com/tensorpack/tensorpack,Apache-2.0,2015-12-25 23:08:44.000,2024-12-28 18:33:37.609000,2023-08-06 00:30:36,2944.0,,1811.0,196.0,206.0,13.0,1343.0,6303.0,"A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility.",58.0,33,False,2020-04-24 19:04:45.487,0.10.1,37.0,tensorpack,conda-forge/tensorpack,,,['tensorflow'],1676.0,1658.0,https://pypi.org/project/tensorpack,2021-01-22 19:59:12.425,18.0,12884.0,13196.0,https://anaconda.org/conda-forge/tensorpack,2024-12-28 18:33:37.609,12104.0,,,,,3.0,187.0,,,,,,,,,,,,,,,,,,, +191,Chainer,chainer/chainer,ml-frameworks,,https://github.com/chainer/chainer,https://github.com/chainer/chainer,MIT,2015-06-05 05:50:37.000,2023-08-28 17:18:20.000000,2022-10-17 02:18:00,30611.0,,1368.0,281.0,6588.0,12.0,2032.0,5897.0,A flexible framework of neural networks for deep learning.,326.0,33,False,2022-06-29 08:19:03.000,7.8.1.post1,111.0,chainer,conda-forge/chainer,,,,3420.0,3362.0,https://pypi.org/project/chainer,2022-01-05 05:33:36.000,58.0,14661.0,15017.0,https://anaconda.org/conda-forge/chainer,2023-06-16 19:17:58.452,21059.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +192,ClearML,allegroai/clearml,ml-experiments,,https://github.com/allegroai/clearml,https://github.com/allegroai/clearml,Apache-2.0,2019-06-10 08:18:32.000,2025-01-08 16:35:40.000000,2025-01-08 16:35:35,2462.0,31.0,660.0,97.0,276.0,505.0,575.0,5771.0,"ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline,..",102.0,33,True,2024-12-18 15:45:08.000,1.17.0,175.0,clearml,,allegroai/trains,,,1535.0,1484.0,https://pypi.org/project/clearml,2024-12-18 15:41:51.000,51.0,316392.0,316891.0,,,,https://hub.docker.com/r/allegroai/trains,2020-10-05 10:16:46.865671,,30361.0,2.0,3065.0,,,,,,,,,,,,,,,,,,, +193,geopy,geopy/geopy,geospatial-data,,https://github.com/geopy/geopy,https://github.com/geopy/geopy,MIT,2010-03-04 22:05:28.000,2024-12-16 09:41:32.291000,2023-11-23 21:41:49,1136.0,,648.0,90.0,273.0,42.0,253.0,4543.0,Geocoding library for Python.,133.0,33,False,2023-11-23 21:50:14.000,2.4.1,61.0,geopy,conda-forge/geopy,,,,901.0,,https://pypi.org/project/geopy,2023-11-23 21:49:30.000,901.0,5479541.0,5507712.0,https://anaconda.org/conda-forge/geopy,2024-12-16 09:41:32.291,1549458.0,,,,,2.0,110.0,,,,,,,,,,,,,,,,,,, +194,TorchServe,pytorch/serve,model-serialisation,,https://github.com/pytorch/serve,https://github.com/pytorch/serve,Apache-2.0,2019-10-03 03:17:43.000,2025-01-01 14:29:12.000000,2024-12-20 19:13:34,3885.0,6.0,867.0,57.0,1723.0,427.0,1272.0,4291.0,"Serve, optimize and scale PyTorch models in production.",218.0,33,True,2024-09-30 22:46:39.000,0.12.0,26.0,torchserve,pytorch/torchserve,pytorch/torchserve,,['pytorch'],808.0,786.0,https://pypi.org/project/torchserve,2024-09-30 18:57:42.000,22.0,36334.0,65777.0,https://anaconda.org/pytorch/torchserve,2024-09-30 18:57:10.837,420787.0,https://hub.docker.com/r/pytorch/torchserve,2024-09-30 22:07:15.226668,30.0,1381644.0,2.0,7492.0,,,,,,,,,,,,,,,,,,, +195,rubrix,recognai/rubrix,nlp,,https://github.com/argilla-io/argilla,https://github.com/argilla-io/argilla,Apache-2.0,2021-04-28 14:37:42.000,2025-01-08 15:36:21.000000,2024-12-20 10:10:54,3603.0,156.0,387.0,32.0,3418.0,95.0,2089.0,4173.0,Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets.,105.0,33,True,2024-12-18 15:46:15.000,2.6.0,100.0,rubrix,conda-forge/rubrix,,,,2859.0,2859.0,https://pypi.org/project/rubrix,2022-10-24 18:22:00.951,,1223.0,2314.0,https://anaconda.org/conda-forge/rubrix,2023-06-16 19:28:09.653,40369.0,,,,,2.0,,,argilla-io/argilla,,,,,,,,,,,,,,,,, +196,nevergrad,facebookresearch/nevergrad,hyperopt,,https://github.com/facebookresearch/nevergrad,https://github.com/facebookresearch/nevergrad,MIT,2018-11-21 00:33:17.000,2024-12-05 17:02:55.000000,2024-12-05 17:02:46,1132.0,19.0,355.0,58.0,1405.0,123.0,185.0,3983.0,A Python toolbox for performing gradient-free optimization.,57.0,33,True,2024-12-01 08:46:15.000,1.0.8,51.0,nevergrad,conda-forge/nevergrad,,,,872.0,810.0,https://pypi.org/project/nevergrad,2024-12-01 08:46:15.000,62.0,108277.0,109301.0,https://anaconda.org/conda-forge/nevergrad,2024-01-09 16:02:07.312,57356.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +197,ftfy,rspeer/python-ftfy,nlp,,https://github.com/rspeer/python-ftfy,https://github.com/rspeer/python-ftfy,Apache-2.0,2012-08-24 16:14:59.000,2024-12-23 22:00:12.774000,2024-10-30 21:00:25,674.0,10.0,122.0,75.0,75.0,9.0,136.0,3837.0,"Fixes mojibake and other glitches in Unicode text, after the fact.",20.0,33,True,2024-10-26 00:51:07.000,6.3.1,55.0,ftfy,conda-forge/ftfy,,,,26509.0,25938.0,https://pypi.org/project/ftfy,2024-10-26 00:50:33.000,571.0,4000307.0,4006818.0,https://anaconda.org/conda-forge/ftfy,2024-12-23 22:00:12.774,312566.0,,,,,2.0,29.0,,,,,,,,,,,,,,,,,,, +198,torchtext,pytorch/text,nlp,,https://github.com/pytorch/text,https://github.com/pytorch/text,BSD-3-Clause,2016-12-12 00:56:03.000,2025-01-09 11:34:41.000000,2024-08-14 20:32:21,1311.0,,812.0,319.0,1470.0,332.0,519.0,3524.0,"Models, data loaders and abstractions for language processing, powered by PyTorch.",156.0,33,True,2024-04-24 16:20:45.000,0.18.0,34.0,torchtext,,,,['pytorch'],285.0,,https://pypi.org/project/torchtext,2024-04-24 15:49:45.000,285.0,902134.0,902134.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +199,datashader,holoviz/datashader,data-viz,,https://github.com/holoviz/datashader,https://github.com/holoviz/datashader,BSD-3-Clause,2015-12-23 18:02:20.000,2025-01-07 20:04:25.000000,2025-01-07 20:04:25,1539.0,13.0,366.0,91.0,786.0,138.0,452.0,3347.0,Quickly and accurately render even the largest data.,59.0,33,True,2024-07-04 16:40:09.000,0.16.3,51.0,datashader,conda-forge/datashader,,,,5498.0,5302.0,https://pypi.org/project/datashader,2024-07-04 12:26:22.000,196.0,113338.0,136338.0,https://anaconda.org/conda-forge/datashader,2024-12-16 09:39:33.334,1288036.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +200,pgmpy,pgmpy/pgmpy,probabilistics,,https://github.com/pgmpy/pgmpy,https://github.com/pgmpy/pgmpy,MIT,2013-09-20 08:18:58.000,2024-12-18 06:27:04.000000,2024-12-18 06:27:04,3051.0,41.0,717.0,76.0,945.0,297.0,652.0,2795.0,"Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in..",133.0,33,True,2024-08-09 17:03:45.000,0.1.26,26.0,pgmpy,,,,,1374.0,1321.0,https://pypi.org/project/pgmpy,2024-08-09 16:48:04.000,53.0,68244.0,68254.0,,,,,,,,2.0,583.0,,,,,,,,,,,,,,,,,,, +201,Lifelines,CamDavidsonPilon/lifelines,medical-data,,https://github.com/CamDavidsonPilon/lifelines,https://github.com/CamDavidsonPilon/lifelines,MIT,2013-08-28 00:16:42.000,2024-12-19 01:31:07.889000,2024-10-29 11:59:38,2311.0,8.0,559.0,70.0,487.0,267.0,713.0,2393.0,Survival analysis in Python.,120.0,33,True,2024-10-29 12:00:41.000,0.30.0,172.0,lifelines,conda-forge/lifelines,,,,3393.0,3232.0,https://pypi.org/project/lifelines,2024-10-29 12:00:41.000,161.0,2488145.0,2495148.0,https://anaconda.org/conda-forge/lifelines,2024-12-19 01:31:07.889,392169.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +202,Pythran,serge-sans-paille/pythran,others,,https://github.com/serge-sans-paille/pythran,https://github.com/serge-sans-paille/pythran,BSD-3-Clause,2012-05-29 08:02:14.000,2024-12-13 18:16:32.000000,2024-12-13 18:16:32,3772.0,18.0,193.0,49.0,1404.0,134.0,743.0,2015.0,Ahead of Time compiler for numeric kernels.,73.0,33,True,2024-10-31 09:34:16.000,0.17.0,62.0,pythran,conda-forge/pythran,,,,3002.0,2981.0,https://pypi.org/project/pythran,2024-10-31 09:34:16.000,21.0,301203.0,316781.0,https://anaconda.org/conda-forge/pythran,2024-11-23 00:50:33.170,810078.0,,,,,2.0,,,,,,,,,,,,,,,,,,pythran,python-pythran, +203,Geocoder,DenisCarriere/geocoder,geospatial-data,,https://github.com/DenisCarriere/geocoder,https://github.com/DenisCarriere/geocoder,MIT,2014-01-13 04:19:21.000,2024-12-20 08:51:20.189000,2018-10-12 15:53:05,1251.0,,284.0,50.0,160.0,114.0,220.0,1631.0,Python Geocoder.,73.0,33,False,2021-12-15 15:58:16.110,1.1.4,110.0,geocoder,conda-forge/geocoder,,,,13024.0,12812.0,https://pypi.org/project/geocoder,2021-12-15 15:58:16.110,212.0,959430.0,1115938.0,https://anaconda.org/conda-forge/geocoder,2024-12-20 08:51:20.189,156508.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,geocoder +204,Wand,emcconville/wand,image,,https://github.com/emcconville/wand,https://github.com/emcconville/wand,MIT,2011-09-30 21:36:38.000,2025-01-06 13:11:22.000000,2025-01-06 13:11:15,1875.0,2.0,200.0,33.0,215.0,26.0,403.0,1422.0,The ctypes-based simple ImageMagick binding for Python.,108.0,33,True,2023-11-04 01:41:17.000,0.6.13,56.0,wand,conda-forge/wand,,,,20391.0,20134.0,https://pypi.org/project/wand,2023-11-03 23:18:50.000,257.0,906328.0,908505.0,https://anaconda.org/conda-forge/wand,2023-06-16 16:16:46.218,96213.0,,,,,2.0,51612.0,,,,,,,,,,,,,,,,,,, +205,igraph,igraph/python-igraph,graph,,https://github.com/igraph/python-igraph,https://github.com/igraph/python-igraph,GPL-2.0,2015-01-08 23:55:16.000,2024-12-26 17:40:52.000000,2024-12-26 17:40:48,2934.0,29.0,249.0,35.0,234.0,48.0,514.0,1331.0,Python interface for igraph.,77.0,33,False,2024-10-28 12:53:42.000,0.11.8,43.0,python-igraph,conda-forge/igraph,,,,4692.0,4286.0,https://pypi.org/project/python-igraph,2024-10-28 12:53:42.000,406.0,201189.0,219628.0,https://anaconda.org/conda-forge/igraph,2024-12-13 22:28:15.458,668047.0,,,,,1.0,566055.0,,,,,,,,,,,,,,,,,,, +206,vit-pytorch,lucidrains/vit-pytorch,image,,https://github.com/lucidrains/vit-pytorch,https://github.com/lucidrains/vit-pytorch,MIT,2020-10-03 22:47:24.000,2025-01-04 15:56:30.000000,2025-01-04 15:55:49,338.0,11.0,3131.0,154.0,57.0,138.0,142.0,21370.0,"Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single..",22.0,32,True,2025-01-04 15:56:30.000,1.9.1,214.0,vit-pytorch,,,,['pytorch'],595.0,578.0,https://pypi.org/project/vit-pytorch,2025-01-04 15:56:30.000,17.0,22967.0,22967.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +207,Prophet,facebook/prophet,time-series-data,,https://github.com/facebook/prophet,https://github.com/facebook/prophet,MIT,2016-11-16 01:50:08.000,2024-10-28 18:51:40.000000,2024-10-20 08:37:57,818.0,2.0,4535.0,453.0,469.0,425.0,1735.0,18721.0,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear..,183.0,32,True,2024-10-02 23:56:39.000,1.1.6-patched-pypi,18.0,fbprophet,conda-forge/prophet,,,,112.0,21.0,https://pypi.org/project/fbprophet,2020-09-05 16:12:50.000,91.0,186868.0,216375.0,https://anaconda.org/conda-forge/prophet,2024-10-04 13:02:12.277,1326426.0,,,,,1.0,2920.0,,,,,,,,,,,,,,,,,,, +208,zipline,quantopian/zipline,financial-data,,https://github.com/quantopian/zipline,https://github.com/quantopian/zipline,Apache-2.0,2012-10-19 15:50:29.000,2024-02-13 08:02:51.000000,2020-10-14 16:36:49,6226.0,,4706.0,1017.0,1869.0,363.0,658.0,17901.0,"Zipline, a Pythonic Algorithmic Trading Library.",161.0,32,False,2020-10-05 15:46:20.429,1.4.1,30.0,zipline,conda-forge/zipline,,,,1030.0,1020.0,https://pypi.org/project/zipline,2020-10-05 15:46:20.429,10.0,2354.0,2534.0,https://anaconda.org/conda-forge/zipline,2023-06-16 19:21:35.991,9392.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +209,tensor2tensor,tensorflow/tensor2tensor,tensorflow-utils,,https://github.com/tensorflow/tensor2tensor,https://github.com/tensorflow/tensor2tensor,Apache-2.0,2017-06-15 16:57:39.000,2023-06-02 18:55:09.000000,2023-04-01 10:19:28,4379.0,,3508.0,469.0,671.0,590.0,672.0,15713.0,Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,244.0,32,False,2020-06-17 16:31:34.798,1.15.7,79.0,tensor2tensor,,,,['tensorflow'],1535.0,1521.0,https://pypi.org/project/tensor2tensor,2020-06-17 16:31:34.798,14.0,7866.0,7866.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +210,Ludwig,ludwig-ai/ludwig,ml-frameworks,,https://github.com/ludwig-ai/ludwig,https://github.com/ludwig-ai/ludwig,Apache-2.0,2018-12-27 23:58:12.000,2024-12-23 23:13:18.000000,2024-10-17 22:52:09,3861.0,4.0,1193.0,194.0,2870.0,45.0,1037.0,11271.0,"Low-code framework for building custom LLMs, neural networks, and other AI models.",157.0,32,True,2024-07-30 00:29:49.000,0.10.4,56.0,ludwig,,,,['tensorflow'],296.0,290.0,https://pypi.org/project/ludwig,2024-07-30 00:29:49.000,6.0,1881.0,1881.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +211,Turi Create,apple/turicreate,ml-frameworks,,https://github.com/apple/turicreate,https://github.com/apple/turicreate,BSD-3-Clause,2017-12-01 00:42:04.000,2023-11-01 06:14:06.000000,2021-11-29 19:55:31,1571.0,,1137.0,339.0,1683.0,523.0,1294.0,11202.0,Turi Create simplifies the development of custom machine learning models.,88.0,32,False,2020-09-30 22:51:40.000,6.4.1,31.0,turicreate,,,,,390.0,385.0,https://pypi.org/project/turicreate,2020-09-30 22:51:40.000,5.0,20875.0,21007.0,,,,,,,,3.0,11245.0,,,,,,,,,,,,,,,,,,, +212,ParlAI,facebookresearch/ParlAI,nlp,,https://github.com/facebookresearch/ParlAI,https://github.com/facebookresearch/ParlAI,MIT,2017-04-24 17:10:44.000,2023-11-03 14:30:00.000000,2023-11-03 14:30:00,4358.0,,2091.0,282.0,3401.0,51.0,1494.0,10498.0,A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,219.0,32,False,2023-06-06 20:46:16.091,1.7.2,25.0,parlai,,,,['pytorch'],272.0,263.0,https://pypi.org/project/parlai,2023-06-06 20:46:16.091,9.0,3078.0,3078.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +213,TPOT,EpistasisLab/tpot,hyperopt,,https://github.com/EpistasisLab/tpot,https://github.com/EpistasisLab/tpot,LGPL-3.0,2015-11-03 21:08:40.000,2025-01-02 20:27:51.226000,2024-02-23 19:03:07,2440.0,,1572.0,289.0,434.0,295.0,639.0,9797.0,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,121.0,32,False,2024-02-23 19:06:10.000,0.12.2,63.0,tpot,conda-forge/tpot,,,['sklearn'],3199.0,3161.0,https://pypi.org/project/tpot,2024-02-23 19:06:10.000,38.0,37437.0,42567.0,https://anaconda.org/conda-forge/tpot,2025-01-02 20:27:51.226,282165.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +214,fuzzywuzzy,seatgeek/fuzzywuzzy,nlp,,https://github.com/seatgeek/fuzzywuzzy,https://github.com/seatgeek/fuzzywuzzy,GPL-2.0,2011-07-08 19:32:34.000,2024-12-17 13:39:23.257000,2021-09-09 20:54:41,384.0,,876.0,259.0,148.0,107.0,104.0,9234.0,Fuzzy String Matching in Python.,70.0,32,False,2020-02-13 22:14:12.000,0.18.0,27.0,fuzzywuzzy,conda-forge/fuzzywuzzy,,,,1211.0,21.0,https://pypi.org/project/fuzzywuzzy,2020-02-13 21:06:25.000,1190.0,7054795.0,7066313.0,https://anaconda.org/conda-forge/fuzzywuzzy,2024-12-17 13:39:23.257,575934.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +215,AutoKeras,keras-team/autokeras,hyperopt,,https://github.com/keras-team/autokeras,https://github.com/keras-team/autokeras,Apache-2.0,2017-11-19 23:18:20.000,2024-12-16 18:00:41.000000,2024-12-16 18:00:41,1394.0,3.0,1399.0,301.0,897.0,145.0,760.0,9177.0,AutoML library for deep learning.,145.0,32,True,2024-03-20 21:40:33.000,2.0.0,59.0,autokeras,,,,['tensorflow'],803.0,790.0,https://pypi.org/project/autokeras,2024-03-20 21:40:33.000,13.0,18454.0,18675.0,,,,,,,,2.0,19082.0,,,,,,,,,,,,,,,,,,, +216,Pyro,pyro-ppl/pyro,probabilistics,,https://github.com/pyro-ppl/pyro,https://github.com/pyro-ppl/pyro,Apache-2.0,2017-06-16 05:03:47.000,2024-12-31 19:20:12.000000,2024-12-31 19:20:12,2499.0,6.0,987.0,200.0,2331.0,261.0,847.0,8622.0,Deep universal probabilistic programming with Python and PyTorch.,158.0,32,True,2024-06-02 00:37:37.000,1.9.1,36.0,pyro-ppl,conda-forge/pyro-ppl,,,['pytorch'],186.0,,https://pypi.org/project/pyro-ppl,2024-06-02 00:37:37.000,186.0,303218.0,307837.0,https://anaconda.org/conda-forge/pyro-ppl,2024-12-18 15:30:29.916,212485.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +217,tsfresh,blue-yonder/tsfresh,time-series-data,,https://github.com/blue-yonder/tsfresh,https://github.com/blue-yonder/tsfresh,MIT,2016-10-26 11:29:17.000,2025-01-05 10:23:49.000000,2025-01-05 10:23:47,564.0,4.0,1215.0,172.0,443.0,68.0,474.0,8513.0,Automatic extraction of relevant features from time series:.,98.0,32,True,2024-08-03 20:51:43.000,0.20.3,32.0,tsfresh,conda-forge/tsfresh,,,['sklearn'],114.0,21.0,https://pypi.org/project/tsfresh,2024-08-03 20:51:43.000,93.0,215722.0,240959.0,https://anaconda.org/conda-forge/tsfresh,2024-08-04 02:13:02.666,1413288.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +218,Darts,unit8co/darts,time-series-data,,https://github.com/unit8co/darts,https://github.com/unit8co/darts,Apache-2.0,2018-09-13 15:17:28.000,2025-01-09 08:42:24.000000,2025-01-08 16:40:06,1279.0,34.0,893.0,63.0,1053.0,245.0,1357.0,8218.0,A python library for user-friendly forecasting and anomaly detection on time series.,127.0,32,True,2024-12-21 13:55:22.000,0.32.0,45.0,u8darts,conda-forge/u8darts-all,unit8/darts,,,10.0,,https://pypi.org/project/u8darts,2024-12-21 13:55:22.000,10.0,75645.0,77235.0,https://anaconda.org/conda-forge/u8darts-all,2024-12-21 20:33:58.556,66208.0,https://hub.docker.com/r/unit8/darts,2024-12-21 13:46:49.864126,,1087.0,1.0,,,,,,,,,,,,,,,,,,,, +219,Bayesian Optimization,fmfn/BayesianOptimization,hyperopt,,https://github.com/bayesian-optimization/BayesianOptimization,https://github.com/bayesian-optimization/BayesianOptimization,MIT,2014-06-06 08:18:56.000,2025-01-02 00:15:54.000000,2024-12-27 08:12:38,393.0,8.0,1550.0,130.0,172.0,5.0,361.0,8014.0,A Python implementation of global optimization with gaussian processes.,47.0,32,True,2024-12-23 09:51:44.000,2.0.3,21.0,bayesian-optimization,,,,,3363.0,3209.0,https://pypi.org/project/bayesian-optimization,2024-12-27 08:24:39.000,154.0,364305.0,364306.0,,,,,,,,2.0,170.0,,bayesian-optimization/BayesianOptimization,,,,,,,,,,,,,,,,, +220,Tesseract,madmaze/pytesseract,ocr,,https://github.com/madmaze/pytesseract,https://github.com/madmaze/pytesseract,Apache-2.0,2010-10-27 23:02:49.000,2025-01-07 11:30:51.352000,2024-12-29 18:15:55,632.0,9.0,725.0,109.0,197.0,11.0,356.0,5951.0,Python-tesseract is an optical character recognition (OCR) tool for python.,49.0,32,True,2024-08-16 02:36:10.000,0.3.13,28.0,pytesseract,conda-forge/pytesseract,,,,971.0,,https://pypi.org/project/pytesseract,2024-08-16 02:36:10.000,971.0,2156251.0,2168106.0,https://anaconda.org/conda-forge/pytesseract,2025-01-07 11:30:51.352,640212.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +221,skorch,skorch-dev/skorch,ml-frameworks,,https://github.com/skorch-dev/skorch,https://github.com/skorch-dev/skorch,BSD-3-Clause,2017-07-18 00:13:54.000,2025-01-09 12:23:25.000000,2025-01-09 12:23:25,1105.0,11.0,390.0,81.0,548.0,61.0,462.0,5928.0,A scikit-learn compatible neural network library that wraps PyTorch.,65.0,32,True,2024-05-27 15:25:43.000,1.0.0,20.0,skorch,conda-forge/skorch,,,"['pytorch', 'sklearn']",1587.0,1502.0,https://pypi.org/project/skorch,2024-05-27 15:23:17.000,85.0,165639.0,180851.0,https://anaconda.org/conda-forge/skorch,2024-12-27 08:14:14.279,791056.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +222,aim,aimhubio/aim,ml-experiments,,https://github.com/aimhubio/aim,https://github.com/aimhubio/aim,Apache-2.0,2019-05-31 18:25:07.000,2025-01-08 20:02:21.000000,2024-12-18 16:11:43,2234.0,21.0,322.0,45.0,2212.0,383.0,670.0,5294.0,Aim An easy-to-use & supercharged open-source experiment tracker.,78.0,32,True,2024-12-18 16:58:41.000,3.27.0,1180.0,aim,conda-forge/aim,,,,816.0,776.0,https://pypi.org/project/aim,2024-12-18 16:21:21.000,40.0,129209.0,131415.0,https://anaconda.org/conda-forge/aim,2024-06-14 16:22:37.168,92693.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +223,River,online-ml/river,others,,https://github.com/online-ml/river,https://github.com/online-ml/river,BSD-3-Clause,2019-01-24 15:18:26.000,2024-12-06 08:29:55.000000,2024-12-06 08:26:00,3944.0,31.0,552.0,85.0,635.0,122.0,500.0,5157.0,Online machine learning in Python.,124.0,32,True,2024-11-25 23:59:25.000,0.22.0,23.0,river,conda-forge/river,,,,681.0,617.0,https://pypi.org/project/river,2024-11-25 23:28:09.000,64.0,66139.0,68215.0,https://anaconda.org/conda-forge/river,2023-10-06 14:40:00.791,93432.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +224,hnswlib,nmslib/hnswlib,nn-search,,https://github.com/nmslib/hnswlib,https://github.com/nmslib/hnswlib,Apache-2.0,2017-07-06 13:08:46.000,2024-11-20 21:17:10.552000,2024-06-17 19:23:44,491.0,,668.0,66.0,228.0,245.0,164.0,4478.0,Header-only C++/python library for fast approximate nearest neighbors.,72.0,32,True,2023-12-03 04:16:17.000,0.8.0,11.0,hnswlib,conda-forge/hnswlib,,,,7552.0,7418.0,https://pypi.org/project/hnswlib,2023-12-03 04:16:17.000,134.0,572678.0,578443.0,https://anaconda.org/conda-forge/hnswlib,2024-11-20 21:17:10.552,282514.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +225,AzureML SDK,Azure/MachineLearningNotebooks,ml-experiments,,https://github.com/Azure/MachineLearningNotebooks,https://github.com/Azure/MachineLearningNotebooks,MIT,2018-08-17 17:29:14.000,2024-12-16 16:44:42.000000,2024-12-16 16:44:42,1305.0,8.0,2506.0,1940.0,540.0,390.0,1078.0,4133.0,Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft.,64.0,32,True,2024-10-16 17:44:34.000,1.58.0,106.0,azureml-sdk,,,,,31.0,,https://pypi.org/project/azureml-sdk,2024-12-10 14:48:18.000,31.0,277489.0,277497.0,,,,,,,,2.0,660.0,,,,,,,,,,,,,,,,,,, +226,tensorflow-hub,tensorflow/hub,tensorflow-utils,,https://github.com/tensorflow/hub,https://github.com/tensorflow/hub,Apache-2.0,2018-03-12 07:55:42.000,2024-10-09 16:24:11.000000,2024-10-09 16:24:08,1187.0,,1662.0,156.0,210.0,13.0,693.0,3492.0,A library for transfer learning by reusing parts of TensorFlow models.,107.0,32,True,2024-01-30 15:53:29.000,0.16.1,20.0,tensorflow-hub,conda-forge/tensorflow-hub,,,['tensorflow'],303.0,,https://pypi.org/project/tensorflow-hub,2024-01-30 14:49:07.000,303.0,1876391.0,1878485.0,https://anaconda.org/conda-forge/tensorflow-hub,2024-05-07 05:39:07.350,111018.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +227,VisPy,vispy/vispy,data-viz,,https://github.com/vispy/vispy,https://github.com/vispy/vispy,BSD-3-Clause,2013-03-21 18:43:22.000,2025-01-08 09:35:22.000000,2025-01-08 09:35:15,7403.0,2.0,618.0,116.0,1191.0,365.0,1115.0,3349.0,High-performance interactive 2D/3D data visualization library.,199.0,32,True,2024-06-17 12:39:47.000,0.14.3,39.0,vispy,conda-forge/vispy,,,['jupyter'],1972.0,1796.0,https://pypi.org/project/vispy,2024-06-17 12:32:22.000,173.0,90767.0,103797.0,https://anaconda.org/conda-forge/vispy,2024-09-04 12:47:04.775,676560.0,,,,,2.0,,,,vispy,https://www.npmjs.com/package/vispy,2020-03-15 14:39:41.516,3.0,20.0,,,,,,,,,,,, +228,lightly,lightly-ai/lightly,image,,https://github.com/lightly-ai/lightly,https://github.com/lightly-ai/lightly,MIT,2020-10-13 13:02:56.000,2025-01-07 09:43:16.000000,2025-01-07 09:30:44,1328.0,61.0,285.0,30.0,1191.0,73.0,515.0,3242.0,A python library for self-supervised learning on images.,61.0,32,True,2025-01-07 09:43:17.000,1.5.16,129.0,lightly,,,,['pytorch'],379.0,362.0,https://pypi.org/project/lightly,2024-11-29 08:09:44.000,17.0,31693.0,31693.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +229,Haiku,deepmind/dm-haiku,ml-frameworks,,https://github.com/google-deepmind/dm-haiku,https://github.com/google-deepmind/dm-haiku,Apache-2.0,2020-02-18 07:14:02.000,2024-12-23 08:50:11.458000,2024-12-17 12:15:00,997.0,11.0,234.0,37.0,557.0,72.0,177.0,2932.0,JAX-based neural network library.,84.0,32,True,2024-10-16 09:11:35.000,0.0.13,16.0,dm-haiku,conda-forge/dm-haiku,,,,2406.0,2231.0,https://pypi.org/project/dm-haiku,2024-10-16 09:11:35.000,175.0,178429.0,178994.0,https://anaconda.org/conda-forge/dm-haiku,2024-12-23 08:50:11.458,26572.0,,,,,3.0,,,google-deepmind/dm-haiku,,,,,,,,,,,,,,,,, +230,scikit-optimize,scikit-optimize/scikit-optimize,hyperopt,,https://github.com/scikit-optimize/scikit-optimize,https://github.com/scikit-optimize/scikit-optimize,BSD-3-Clause,2016-03-20 21:10:54.000,2024-06-05 12:17:25.116000,2021-10-12 13:32:38,1570.0,,545.0,63.0,546.0,318.0,393.0,2752.0,Sequential model-based optimization with a `scipy.optimize` interface.,76.0,32,False,2024-06-04 19:12:54.000,0.10.2,23.0,scikit-optimize,conda-forge/scikit-optimize,,,,7520.0,7152.0,https://pypi.org/project/scikit-optimize,2024-06-04 19:12:54.000,368.0,634152.0,648466.0,https://anaconda.org/conda-forge/scikit-optimize,2024-06-05 12:17:25.116,758657.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +231,category_encoders,scikit-learn-contrib/category_encoders,sklearn-utils,,https://github.com/scikit-learn-contrib/category_encoders,https://github.com/scikit-learn-contrib/category_encoders,BSD-3-Clause,2015-11-29 19:32:37.000,2025-01-08 00:20:48.770000,2025-01-07 17:58:40,971.0,5.0,395.0,39.0,153.0,46.0,250.0,2417.0,A library of sklearn compatible categorical variable encoders.,70.0,32,True,2025-01-07 18:02:08.000,2.7.0,34.0,category_encoders,conda-forge/category_encoders,,,['sklearn'],2795.0,2495.0,https://pypi.org/project/category_encoders,2025-01-07 18:02:48.000,300.0,1267014.0,1274611.0,https://anaconda.org/conda-forge/category_encoders,2025-01-08 00:20:48.770,296310.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +232,USearch,unum-cloud/usearch,nn-search,,https://github.com/unum-cloud/usearch,https://github.com/unum-cloud/usearch,Apache-2.0,2023-02-22 09:20:20.000,2025-01-09 12:02:04.000000,2025-01-09 11:57:00,1968.0,53.0,152.0,29.0,374.0,65.0,113.0,2386.0,"Fast Open-Source Search & Clustering engine for Vectors & Strings in C++, C, Python, JavaScript, Rust, Java,..",60.0,32,True,2025-01-09 11:57:02.000,2.16.10,135.0,usearch,,unum/usearch,,,193.0,151.0,https://pypi.org/project/usearch,2024-12-29 12:38:31.000,27.0,234247.0,243180.0,,,,https://hub.docker.com/r/unum/usearch,2024-11-21 09:01:45.281389,1.0,171.0,2.0,43468.0,,,usearch,https://www.npmjs.com/package/usearch,2024-12-29 11:46:07.566,15.0,6512.0,,,,,,,,,,,, +233,Opacus,pytorch/opacus,privacy-ml,,https://github.com/pytorch/opacus,https://github.com/pytorch/opacus,Apache-2.0,2019-12-07 01:58:09.000,2025-01-07 18:55:14.000000,2025-01-07 18:51:24,743.0,12.0,345.0,46.0,402.0,71.0,247.0,1737.0,Training PyTorch models with differential privacy.,82.0,32,True,2024-08-03 10:32:52.000,1.5.2,24.0,opacus,conda-forge/opacus,,,['pytorch'],988.0,952.0,https://pypi.org/project/opacus,2024-08-03 10:32:52.000,36.0,74877.0,75429.0,https://anaconda.org/conda-forge/opacus,2025-01-02 12:44:16.489,19812.0,,,,,2.0,137.0,,,,,,,,,,,,,,,,,,, +234,tensorly,tensorly/tensorly,others,,https://github.com/tensorly/tensorly,https://github.com/tensorly/tensorly,BSD-2-Clause,2016-10-21 23:14:52.000,2024-12-23 17:47:51.000000,2024-12-23 17:47:51,1986.0,19.0,289.0,45.0,291.0,59.0,215.0,1585.0,TensorLy: Tensor Learning in Python.,69.0,32,True,2024-11-12 14:54:17.000,0.9.0,21.0,tensorly,conda-forge/tensorly,,,,959.0,860.0,https://pypi.org/project/tensorly,2024-11-12 14:54:17.000,99.0,50311.0,57587.0,https://anaconda.org/conda-forge/tensorly,2024-06-10 02:35:16.323,371101.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +235,ipyleaflet,jupyter-widgets/ipyleaflet,geospatial-data,,https://github.com/jupyter-widgets/ipyleaflet,https://github.com/jupyter-widgets/ipyleaflet,MIT,2014-05-07 16:32:10.000,2024-12-16 09:24:29.167000,2024-12-05 15:39:58,1196.0,3.0,362.0,68.0,616.0,297.0,361.0,1499.0,A Jupyter - Leaflet.js bridge.,91.0,32,True,2024-07-22 08:02:59.000,0.19.2,84.0,ipyleaflet,conda-forge/ipyleaflet,,,['jupyter'],13748.0,13464.0,https://pypi.org/project/ipyleaflet,2024-07-22 08:02:59.000,275.0,160591.0,189603.0,https://anaconda.org/conda-forge/ipyleaflet,2024-12-16 09:24:29.167,1341153.0,,,,,3.0,,,,jupyter-leaflet,https://www.npmjs.com/package/jupyter-leaflet,2024-07-22 08:02:28.803,9.0,5063.0,,,,,,,,,,,, +236,arch,bashtage/arch,financial-data,,https://github.com/bashtage/arch,https://github.com/bashtage/arch,,2014-08-29 15:41:28.000,2025-01-08 18:36:40.000000,2025-01-08 18:31:17,1167.0,29.0,250.0,50.0,552.0,33.0,187.0,1348.0,ARCH models in Python.,37.0,32,False,2024-11-04 16:01:44.000,7.2.0,49.0,arch,conda-forge/arch-py,,,,2420.0,2307.0,https://pypi.org/project/arch,2024-11-04 16:01:44.000,113.0,1418643.0,1427027.0,https://anaconda.org/conda-forge/arch-py,2024-11-05 00:36:23.711,461151.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +237,hvPlot,holoviz/hvplot,data-viz,,https://github.com/holoviz/hvplot,https://github.com/holoviz/hvplot,BSD-3-Clause,2018-03-19 14:22:41.000,2024-12-16 22:46:09.000000,2024-12-16 13:06:20,736.0,11.0,110.0,26.0,593.0,364.0,464.0,1159.0,"A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews.",51.0,32,True,2024-12-16 22:32:41.000,0.11.2,81.0,hvplot,conda-forge/hvplot,,,,6571.0,6353.0,https://pypi.org/project/hvplot,2024-12-16 15:36:13.000,218.0,156800.0,169466.0,https://anaconda.org/conda-forge/hvplot,2024-12-16 22:43:35.357,696682.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +238,Hail,hail-is/hail,medical-data,,https://github.com/hail-is/hail,https://github.com/hail-is/hail,MIT,2015-10-27 20:55:42.000,2025-01-07 19:48:08.000000,2025-01-07 19:48:05,11613.0,32.0,246.0,55.0,12346.0,251.0,2220.0,988.0,Cloud-native genomic dataframes and batch computing.,97.0,32,True,2024-10-04 20:34:16.000,0.2.133,155.0,hail,,,,['spark'],188.0,154.0,https://pypi.org/project/hail,2024-10-04 20:34:16.000,34.0,263327.0,263327.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +239,DIPY,dipy/dipy,medical-data,,https://github.com/dipy/dipy,https://github.com/dipy/dipy,,2010-02-06 11:43:08.000,2025-01-06 16:44:20.000000,2025-01-06 16:44:19,14744.0,164.0,442.0,58.0,2269.0,167.0,816.0,729.0,"DIPY is the paragon 3D/4D+ medical imaging library in Python. Contains generic methods for spatial normalization,..",165.0,32,False,2024-12-12 17:53:19.000,1.10.0,29.0,dipy,conda-forge/dipy,,,,1453.0,1325.0,https://pypi.org/project/dipy,2024-12-12 17:53:19.000,128.0,33165.0,43688.0,https://anaconda.org/conda-forge/dipy,2024-12-13 21:19:52.949,547246.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +240,datalad,datalad/datalad,others,,https://github.com/datalad/datalad,https://github.com/datalad/datalad,MIT,2013-11-01 19:40:08.000,2024-12-17 17:34:12.000000,2024-12-15 00:03:38,17327.0,44.0,111.0,28.0,3628.0,535.0,3417.0,549.0,"Keep code, data, containers under control with git and git-annex.",57.0,32,True,2024-12-15 00:03:47.000,1.1.5,121.0,datalad,conda-forge/datalad,,,,543.0,444.0,https://pypi.org/project/datalad,2024-12-15 00:03:47.000,99.0,13420.0,26301.0,https://anaconda.org/conda-forge/datalad,2024-11-20 02:36:29.417,708467.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +241,Cython BLIS,explosion/cython-blis,others,,https://github.com/explosion/cython-blis,https://github.com/explosion/cython-blis,BSD-3-Clause,2017-10-15 09:56:16.000,2025-01-08 23:30:24.000000,2025-01-08 19:55:34,646.0,53.0,38.0,10.0,77.0,11.0,26.0,221.0,Fast matrix-multiplication as a self-contained Python library no system dependencies!.,14.0,32,False,2024-12-16 11:14:25.000,1.1.0,52.0,blis,conda-forge/cython-blis,,,,54423.0,54313.0,https://pypi.org/project/blis,2024-12-16 11:14:25.000,110.0,9877273.0,9922935.0,https://anaconda.org/conda-forge/cython-blis,2025-01-05 16:04:33.921,2373920.0,,,,,2.0,657.0,,,,,,,,,,,,,,,,,,, +242,spleeter,deezer/spleeter,audio,,https://github.com/deezer/spleeter,https://github.com/deezer/spleeter,MIT,2019-09-26 15:40:46.000,2024-10-29 16:47:11.000000,2024-10-29 16:47:10,533.0,2.0,2863.0,388.0,125.0,239.0,561.0,26170.0,Deezer source separation library including pretrained models.,21.0,31,True,2023-07-10 10:07:01.047,2.4.0,37.0,spleeter,conda-forge/spleeter,,,['tensorflow'],880.0,868.0,https://pypi.org/project/spleeter,2022-06-10 13:19:35.000,12.0,24711.0,84586.0,https://anaconda.org/conda-forge/spleeter,2023-06-16 16:18:57.741,100671.0,,,,,2.0,3669929.0,,,,,,,,,,,,,,,,,,, +243,Qlib,microsoft/qlib,financial-data,,https://github.com/microsoft/qlib,https://github.com/microsoft/qlib,MIT,2020-08-14 06:46:00.000,2025-01-09 13:35:59.000000,2025-01-09 13:35:59,2010.0,15.0,2682.0,302.0,954.0,249.0,697.0,15934.0,"Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and..",136.0,31,True,2024-12-23 07:36:40.000,0.9.6,35.0,pyqlib,,,,['pytorch'],22.0,21.0,https://pypi.org/project/pyqlib,2024-12-23 07:38:34.000,1.0,7128.0,7142.0,,,,,,,,2.0,754.0,,,,,,,,,,,,,,,,,,, +244,NNI,microsoft/nni,hyperopt,,https://github.com/microsoft/nni,https://github.com/microsoft/nni,MIT,2018-06-01 05:51:44.000,2024-07-03 10:55:10.000000,2023-10-26 05:31:53,3012.0,,1816.0,284.0,3507.0,417.0,1684.0,14097.0,"An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural..",192.0,31,False,2023-09-14 12:12:06.000,3.0,55.0,nni,,,,,68.0,21.0,https://pypi.org/project/nni,2023-09-14 12:22:00.000,47.0,16416.0,16416.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +245,PaddleHub,PaddlePaddle/PaddleHub,others,,https://github.com/PaddlePaddle/PaddleHub,https://github.com/PaddlePaddle/PaddleHub,Apache-2.0,2018-12-21 06:00:48.000,2024-08-07 03:17:23.000000,2024-08-07 03:17:23,2667.0,,2074.0,183.0,1006.0,574.0,727.0,12775.0,"Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-..",70.0,31,True,2023-09-20 10:33:08.000,2.4.0,50.0,paddlehub,,,,['paddle'],1817.0,1810.0,https://pypi.org/project/paddlehub,2023-09-20 10:33:08.000,7.0,5568.0,5579.0,,,,,,,,2.0,837.0,,,,,,,,,,,,,,,,,,, +246,FinRL,AI4Finance-Foundation/FinRL,reinforcement-learning,,https://github.com/AI4Finance-Foundation/FinRL,https://github.com/AI4Finance-Foundation/FinRL,MIT,2020-07-26 13:18:16.000,2025-01-09 02:12:10.000000,2025-01-09 02:12:07,2975.0,12.0,2433.0,208.0,486.0,246.0,481.0,10391.0,FinRL: Financial Reinforcement Learning.,121.0,31,True,2023-02-07 13:58:00.815,0.3.6,8.0,finrl,,,,,58.0,58.0,https://pypi.org/project/finrl,2022-01-08 13:58:14.000,,1645.0,1645.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +247,Sonnet,deepmind/sonnet,ml-frameworks,,https://github.com/google-deepmind/sonnet,https://github.com/google-deepmind/sonnet,Apache-2.0,2017-04-03 11:34:35.000,2024-11-14 10:24:59.000000,2024-11-14 10:24:54,866.0,2.0,1299.0,423.0,90.0,32.0,161.0,9794.0,TensorFlow-based neural network library.,59.0,31,True,2024-01-02 11:15:06.000,2.0.2,29.0,dm-sonnet,conda-forge/sonnet,,,['tensorflow'],1395.0,1376.0,https://pypi.org/project/dm-sonnet,2024-01-02 11:15:06.000,19.0,16950.0,17560.0,https://anaconda.org/conda-forge/sonnet,2023-06-16 16:19:12.602,37875.0,,,,,3.0,,,google-deepmind/sonnet,,,,,,,,,,,,,,,,, +248,TFlearn,tflearn/tflearn,ml-frameworks,,https://github.com/tflearn/tflearn,https://github.com/tflearn/tflearn,MIT,2016-03-31 12:05:53.000,2024-05-06 11:34:20.000000,2020-11-30 04:34:51,613.0,,2410.0,456.0,263.0,579.0,364.0,9620.0,Deep learning library featuring a higher-level API for TensorFlow.,145.0,31,False,2020-11-11 19:26:11.000,0.5.0,8.0,tflearn,,,,['tensorflow'],5102.0,5088.0,https://pypi.org/project/tflearn,2020-11-11 19:13:47.000,14.0,3227.0,3227.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +249,Apex,NVIDIA/apex,gpu-utilities,,https://github.com/NVIDIA/apex,https://github.com/NVIDIA/apex,BSD-3-Clause,2018-04-23 16:28:52.000,2024-12-14 07:09:35.000000,2024-12-14 07:09:34,1196.0,10.0,1401.0,100.0,671.0,735.0,530.0,8494.0,A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch.,130.0,31,True,,,4.0,,conda-forge/nvidia-apex,,,['pytorch'],2926.0,2926.0,,,,,7689.0,https://anaconda.org/conda-forge/nvidia-apex,2024-11-04 08:44:59.011,392171.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +250,auto-sklearn,automl/auto-sklearn,hyperopt,,https://github.com/automl/auto-sklearn,https://github.com/automl/auto-sklearn,BSD-3-Clause,2015-07-02 15:38:10.000,2025-01-02 16:30:24.107000,2023-04-18 11:08:13,2759.0,,1282.0,214.0,725.0,201.0,829.0,7678.0,Automated Machine Learning with scikit-learn.,88.0,31,False,2023-02-13 12:35:21.000,0.15.0,42.0,auto-sklearn,conda-forge/auto-sklearn,,,['sklearn'],671.0,637.0,https://pypi.org/project/auto-sklearn,2022-09-20 10:32:07.471,34.0,12938.0,13561.0,https://anaconda.org/conda-forge/auto-sklearn,2025-01-02 16:30:24.107,28051.0,,,,,2.0,68.0,,,,,,,,,,,,,,,,,,, +251,librosa,librosa/librosa,audio,,https://github.com/librosa/librosa,https://github.com/librosa/librosa,ISC,2012-10-20 14:21:01.000,2024-12-19 14:28:40.998000,2024-11-26 20:42:35,3285.0,1.0,959.0,141.0,669.0,57.0,1165.0,7293.0,Python library for audio and music analysis.,124.0,31,True,2024-05-14 15:48:50.000,0.10.2.post1,43.0,librosa,conda-forge/librosa,,,,1358.0,,https://pypi.org/project/librosa,2024-05-14 15:49:38.000,1358.0,2613963.0,2629668.0,https://anaconda.org/conda-forge/librosa,2024-12-19 14:28:40.998,848094.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +252,DeepPavlov,deepmipt/DeepPavlov,nlp,,https://github.com/deeppavlov/DeepPavlov,https://github.com/deeppavlov/DeepPavlov,Apache-2.0,2017-11-17 14:35:29.000,2024-11-26 06:34:46.000000,2024-11-26 06:34:41,2711.0,1.0,1151.0,211.0,1052.0,27.0,615.0,6759.0,An open source library for deep learning end-to-end dialog systems and chatbots.,77.0,31,True,2024-08-12 17:22:54.000,1.7.0,64.0,deeppavlov,,,,['tensorflow'],426.0,422.0,https://pypi.org/project/deeppavlov,2024-08-12 17:22:54.000,4.0,10355.0,10355.0,,,,,,,,2.0,,,deeppavlov/DeepPavlov,,,,,,,,,,,,,,,,, +253,kaggle,Kaggle/kaggle-api,ml-experiments,,https://github.com/Kaggle/kaggle-api,https://github.com/Kaggle/kaggle-api,Apache-2.0,2018-01-25 03:02:39.000,2025-01-08 17:26:42.000000,2025-01-08 17:26:41,214.0,9.0,1114.0,202.0,163.0,147.0,346.0,6377.0,Official Kaggle API.,48.0,31,True,2024-07-24 19:08:19.000,1.6.17,74.0,kaggle,conda-forge/kaggle,,,,230.0,21.0,https://pypi.org/project/kaggle,2024-07-24 19:08:19.000,209.0,226147.0,230028.0,https://anaconda.org/conda-forge/kaggle,2024-07-27 21:52:01.276,201824.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +254,pyfolio,quantopian/pyfolio,financial-data,,https://github.com/quantopian/pyfolio,https://github.com/quantopian/pyfolio,Apache-2.0,2015-06-01 15:31:39.000,2023-12-23 06:14:58.000000,2020-07-15 13:46:58,1184.0,,1760.0,305.0,296.0,161.0,268.0,5775.0,Portfolio and risk analytics in Python.,60.0,31,False,2019-04-15 15:00:21.000,0.9.2,22.0,pyfolio,conda-forge/pyfolio,,,,1136.0,1122.0,https://pypi.org/project/pyfolio,2019-04-15 15:00:21.000,14.0,9322.0,9496.0,https://anaconda.org/conda-forge/pyfolio,2023-06-16 16:07:59.111,14449.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +255,torchdiffeq,rtqichen/torchdiffeq,pytorch-utils,,https://github.com/rtqichen/torchdiffeq,https://github.com/rtqichen/torchdiffeq,MIT,2018-11-14 17:51:25.000,2024-11-21 20:20:09.000000,2024-11-21 20:19:33,250.0,2.0,930.0,127.0,40.0,75.0,147.0,5709.0,Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.,21.0,31,True,2024-11-21 20:20:09.000,0.2.5,9.0,torchdiffeq,conda-forge/torchdiffeq,,,['pytorch'],4463.0,4347.0,https://pypi.org/project/torchdiffeq,2024-11-21 20:20:09.000,116.0,804176.0,804519.0,https://anaconda.org/conda-forge/torchdiffeq,2023-06-16 19:19:05.182,19254.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +256,D-Tale,man-group/dtale,data-viz,,https://github.com/man-group/dtale,https://github.com/man-group/dtale,LGPL-2.1,2019-07-15 09:34:48.000,2025-01-02 15:40:47.000000,2024-12-13 16:40:15,828.0,15.0,407.0,74.0,304.0,62.0,532.0,4814.0,Visualizer for pandas data structures.,30.0,31,True,2024-12-13 16:37:39.000,3.16.1,190.0,dtale,conda-forge/dtale,,,"['pandas', 'jupyter']",1365.0,1317.0,https://pypi.org/project/dtale,2024-12-13 16:37:39.000,48.0,59882.0,66481.0,https://anaconda.org/conda-forge/dtale,2024-12-13 17:33:14.415,369550.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +257,imutils,PyImageSearch/imutils,image,,https://github.com/PyImageSearch/imutils,https://github.com/PyImageSearch/imutils,MIT,2015-01-11 20:05:39.000,2025-01-05 22:22:11.904000,2022-01-27 13:24:16,139.0,,1026.0,152.0,116.0,162.0,79.0,4550.0,"A series of convenience functions to make basic image processing operations such as translation, rotation, resizing,..",21.0,31,False,2021-01-15 10:53:17.000,0.5.4,29.0,imutils,conda-forge/imutils,,,,49120.0,48685.0,https://pypi.org/project/imutils,2021-01-15 10:53:17.000,435.0,389546.0,393410.0,https://anaconda.org/conda-forge/imutils,2025-01-05 22:22:11.904,208667.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +258,ta,bukosabino/ta,financial-data,,https://github.com/bukosabino/ta,https://github.com/bukosabino/ta,MIT,2018-01-02 18:08:48.000,2025-01-02 16:30:25.284000,2023-11-02 13:49:44,662.0,,981.0,152.0,132.0,139.0,104.0,4447.0,Technical Analysis Library using Pandas and Numpy.,34.0,31,False,2023-11-02 13:53:35.000,0.11.0,56.0,ta,conda-forge/ta,,,,5177.0,5070.0,https://pypi.org/project/ta,2023-11-02 13:53:35.000,107.0,183289.0,183971.0,https://anaconda.org/conda-forge/ta,2025-01-02 16:30:25.284,32059.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +259,cuML,rapidsai/cuml,gpu-utilities,,https://github.com/rapidsai/cuml,https://github.com/rapidsai/cuml,Apache-2.0,2018-10-11 15:45:35.000,2025-01-09 14:25:29.000000,2025-01-09 14:25:25,15612.0,56.0,537.0,78.0,3706.0,919.0,1637.0,4335.0,cuML - RAPIDS Machine Learning Library.,178.0,31,True,2024-12-11 21:41:19.000,24.12.00,43.0,cuml,,,,,14.0,,https://pypi.org/project/cuml,2020-06-01 20:09:10.000,14.0,3089.0,3089.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +260,sacred,IDSIA/sacred,ml-experiments,,https://github.com/IDSIA/sacred,https://github.com/IDSIA/sacred,MIT,2014-03-31 18:05:29.000,2024-11-26 07:16:52.000000,2024-11-26 07:14:46,1352.0,4.0,383.0,70.0,376.0,103.0,460.0,4272.0,"Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.",106.0,31,True,2024-11-26 07:16:52.000,0.8.7,31.0,sacred,conda-forge/sacred,,,,3396.0,3336.0,https://pypi.org/project/sacred,2024-11-26 07:16:52.000,60.0,24467.0,24665.0,https://anaconda.org/conda-forge/sacred,2023-11-28 14:54:27.704,7548.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +261,pytorch-forecasting,jdb78/pytorch-forecasting,time-series-data,,https://github.com/sktime/pytorch-forecasting,https://github.com/sktime/pytorch-forecasting,MIT,2020-07-03 13:05:24.000,2025-01-06 13:15:03.000000,2025-01-06 13:15:02,1931.0,27.0,636.0,45.0,931.0,490.0,315.0,4062.0,Time series forecasting with PyTorch.,61.0,31,True,2024-11-19 17:01:21.000,1.2.0,37.0,pytorch-forecasting,conda-forge/pytorch-forecasting,,,,487.0,465.0,https://pypi.org/project/pytorch-forecasting,2024-11-19 17:01:21.000,22.0,57506.0,58847.0,https://anaconda.org/conda-forge/pytorch-forecasting,2023-06-16 19:21:40.268,69742.0,,,,,2.0,,,sktime/pytorch-forecasting,,,,,,,,,,,,,,,,, +262,STUMPY,TDAmeritrade/stumpy,time-series-data,,https://github.com/TDAmeritrade/stumpy,https://github.com/TDAmeritrade/stumpy,BSD-3-Clause,2019-05-03 19:23:44.000,2025-01-07 19:21:57.000000,2025-01-07 19:21:37,1362.0,7.0,323.0,58.0,249.0,70.0,451.0,3721.0,STUMPY is a powerful and scalable Python library for modern time series analysis.,41.0,31,True,2024-07-09 04:43:23.000,1.13.0,29.0,stumpy,conda-forge/stumpy,,,,1030.0,1000.0,https://pypi.org/project/stumpy,2024-07-09 04:21:56.000,30.0,278155.0,297250.0,https://anaconda.org/conda-forge/stumpy,2024-12-21 13:31:00.768,1050239.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +263,GPyTorch,cornellius-gp/gpytorch,probabilistics,,https://github.com/cornellius-gp/gpytorch,https://github.com/cornellius-gp/gpytorch,MIT,2017-06-09 14:48:20.000,2024-12-18 23:54:59.385000,2024-12-12 13:55:22,3907.0,7.0,562.0,58.0,922.0,380.0,982.0,3623.0,A highly efficient implementation of Gaussian Processes in PyTorch.,136.0,31,True,2024-09-06 21:42:56.000,1.13,41.0,gpytorch,conda-forge/gpytorch,,,['pytorch'],2731.0,2562.0,https://pypi.org/project/gpytorch,2024-09-06 21:48:53.000,169.0,232515.0,235889.0,https://anaconda.org/conda-forge/gpytorch,2024-12-18 23:54:59.385,188990.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +264,ImageHash,JohannesBuchner/imagehash,image,,https://github.com/JohannesBuchner/imagehash,https://github.com/JohannesBuchner/imagehash,BSD-2-Clause,2013-03-02 23:32:48.000,2024-12-22 10:12:57.197000,2024-10-09 08:38:39,344.0,,336.0,64.0,78.0,20.0,124.0,3481.0,A Python Perceptual Image Hashing Module.,27.0,31,True,2022-09-28 08:48:24.658,4.3.1,20.0,ImageHash,conda-forge/imagehash,,,,15650.0,15408.0,https://pypi.org/project/ImageHash,2022-09-28 08:48:24.658,242.0,1227785.0,1236089.0,https://anaconda.org/conda-forge/imagehash,2024-12-22 10:12:57.197,415248.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +265,dyNET,clab/dynet,ml-frameworks,,https://github.com/clab/dynet,https://github.com/clab/dynet,Apache-2.0,2015-02-08 23:09:21.000,2023-12-01 17:10:01.000000,2023-11-08 12:40:01,3273.0,,704.0,182.0,737.0,277.0,710.0,3425.0,DyNet: The Dynamic Neural Network Toolkit.,161.0,31,False,2020-10-21 14:31:01.000,2.1.2,24.0,dyNET,,,,,286.0,268.0,https://pypi.org/project/dyNET,2020-10-21 14:31:01.000,18.0,147810.0,147991.0,,,,,,,,3.0,17958.0,,,,,,,,,,,,,,,,,,, +266,filterpy,rlabbe/filterpy,probabilistics,,https://github.com/rlabbe/filterpy,https://github.com/rlabbe/filterpy,MIT,2014-07-15 02:15:19.000,2024-02-07 10:05:31.000000,2022-08-22 18:21:12,586.0,,628.0,78.0,80.0,74.0,162.0,3419.0,"Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman..",43.0,31,False,2021-12-15 15:49:27.374,0.0.13,49.0,filterpy,conda-forge/filterpy,,,,8105.0,7985.0,https://pypi.org/project/filterpy,2021-12-15 15:49:27.374,120.0,1688576.0,1691497.0,https://anaconda.org/conda-forge/filterpy,2023-06-16 13:24:39.196,265883.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +267,NeuralForecast,Nixtla/neuralforecast,time-series-data,,https://github.com/Nixtla/neuralforecast,https://github.com/Nixtla/neuralforecast,Apache-2.0,2021-04-26 00:15:19.000,2025-01-09 08:36:09.000000,2025-01-09 08:36:02,1215.0,19.0,371.0,36.0,556.0,123.0,466.0,3230.0,Scalable and user friendly neural forecasting algorithms.,48.0,31,True,2025-01-02 19:50:52.000,2.0.0,29.0,neuralforecast,conda-forge/neuralforecast,,,,308.0,285.0,https://pypi.org/project/neuralforecast,2025-01-02 19:50:52.000,23.0,47390.0,48217.0,https://anaconda.org/conda-forge/neuralforecast,2025-01-03 15:14:21.023,28124.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +268,FairScale,facebookresearch/fairscale,distributed-ml,,https://github.com/facebookresearch/fairscale,https://github.com/facebookresearch/fairscale,BSD-3-Clause,2020-07-07 19:02:01.000,2025-01-06 21:55:38.000000,2024-05-03 16:54:19,704.0,,281.0,50.0,829.0,103.0,285.0,3225.0,PyTorch extensions for high performance and large scale training.,75.0,31,True,2022-12-11 18:09:31.906,0.4.13,35.0,fairscale,conda-forge/fairscale,,,['pytorch'],7330.0,7177.0,https://pypi.org/project/fairscale,2022-12-11 18:09:31.906,153.0,358065.0,367700.0,https://anaconda.org/conda-forge/fairscale,2023-11-28 00:29:10.363,366144.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +269,Keras Tuner,keras-team/keras-tuner,hyperopt,,https://github.com/keras-team/keras-tuner,https://github.com/keras-team/keras-tuner,Apache-2.0,2019-06-06 22:38:21.000,2024-12-25 16:57:33.423000,2024-06-24 17:09:39,1087.0,,397.0,61.0,499.0,222.0,273.0,2862.0,A Hyperparameter Tuning Library for Keras.,61.0,31,True,2024-03-04 19:41:39.000,1.4.7,35.0,keras-tuner,conda-forge/keras-tuner,,,['tensorflow'],5051.0,4936.0,https://pypi.org/project/keras-tuner,2024-03-04 19:41:39.000,115.0,279739.0,280853.0,https://anaconda.org/conda-forge/keras-tuner,2024-12-25 16:57:33.423,45712.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +270,ipyparallel,ipython/ipyparallel,distributed-ml,,https://github.com/ipython/ipyparallel,https://github.com/ipython/ipyparallel,,2015-04-09 07:43:55.000,2025-01-07 00:33:32.000000,2024-12-09 12:56:45,2995.0,79.0,1007.0,123.0,544.0,61.0,305.0,2599.0,IPython Parallel: Interactive Parallel Computing in Python.,114.0,31,False,2024-11-06 12:07:08.000,9.0.0,48.0,ipyparallel,conda-forge/ipyparallel,,,['jupyter'],112.0,,https://pypi.org/project/ipyparallel,2024-11-06 12:07:08.000,112.0,432572.0,455570.0,https://anaconda.org/conda-forge/ipyparallel,2024-12-06 14:00:08.619,1172915.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +271,mpld3,mpld3/mpld3,data-viz,,https://github.com/mpld3/mpld3,https://github.com/mpld3/mpld3,BSD-3-Clause,2013-12-18 01:48:30.000,2024-12-19 19:53:58.719000,2024-10-30 12:23:10,890.0,3.0,361.0,82.0,169.0,218.0,149.0,2365.0,An interactive data visualization tool which brings matplotlib graphics to the browser using D3.,53.0,31,True,2023-12-23 13:04:29.963,0.5.10,19.0,mpld3,conda-forge/mpld3,,,,7010.0,6855.0,https://pypi.org/project/mpld3,2023-12-23 13:03:02.000,146.0,277191.0,281846.0,https://anaconda.org/conda-forge/mpld3,2024-12-19 19:53:58.719,218145.0,,,,,2.0,,,,mpld3,https://www.npmjs.com/package/mpld3,2023-12-23 13:04:29.963,9.0,689.0,,,,,,,,,,,, +272,pygraphistry,graphistry/pygraphistry,graph,,https://github.com/graphistry/pygraphistry,https://github.com/graphistry/pygraphistry,BSD-3-Clause,2015-06-02 20:28:42.000,2025-01-08 13:53:35.000000,2025-01-06 13:36:30,1884.0,131.0,209.0,48.0,299.0,179.0,166.0,2195.0,"PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated..",45.0,31,True,2024-12-29 08:19:16.000,0.35.4,199.0,graphistry,,,,['jupyter'],137.0,131.0,https://pypi.org/project/graphistry,2024-12-29 08:19:16.000,6.0,14389.0,14389.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +273,equinox,patrick-kidger/equinox,jax-utils,,https://github.com/patrick-kidger/equinox,https://github.com/patrick-kidger/equinox,Apache-2.0,2021-07-29 02:21:39.000,2025-01-08 10:30:35.000000,2025-01-08 10:30:32,967.0,18.0,147.0,25.0,447.0,168.0,318.0,2180.0,Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/.,57.0,31,True,2024-12-24 12:08:00.000,0.11.11,55.0,equinox,,,,['jax'],1117.0,917.0,https://pypi.org/project/equinox,2024-12-24 12:07:52.000,200.0,269223.0,269223.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +274,evaluate,huggingface/evaluate,interpretability,,https://github.com/huggingface/evaluate,https://github.com/huggingface/evaluate,Apache-2.0,2022-03-30 15:08:26.000,2024-09-17 00:19:55.000000,2024-09-17 00:19:55,953.0,,260.0,47.0,354.0,220.0,142.0,2081.0,Evaluate: A library for easily evaluating machine learning models and datasets.,129.0,31,True,2024-09-11 10:17:30.000,0.4.3,16.0,evaluate,,,,,16466.0,16063.0,https://pypi.org/project/evaluate,2024-09-11 10:15:30.000,403.0,2119514.0,2119514.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +275,fairlearn,fairlearn/fairlearn,interpretability,,https://github.com/fairlearn/fairlearn,https://github.com/fairlearn/fairlearn,MIT,2018-05-15 01:51:35.000,2025-01-02 10:15:25.753000,2024-12-17 11:38:14,920.0,41.0,425.0,39.0,955.0,160.0,333.0,1984.0,A Python package to assess and improve fairness of machine learning models.,91.0,31,True,2024-12-11 12:38:14.000,0.12.0,22.0,fairlearn,conda-forge/fairlearn,,,['sklearn'],66.0,3.0,https://pypi.org/project/fairlearn,2024-12-11 11:29:34.000,63.0,479624.0,480414.0,https://anaconda.org/conda-forge/fairlearn,2025-01-02 10:15:25.753,39528.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +276,PyKEEN,pykeen/pykeen,graph,,https://github.com/pykeen/pykeen,https://github.com/pykeen/pykeen,MIT,2020-02-24 07:26:03.000,2025-01-08 21:52:21.000000,2025-01-08 20:38:27,2897.0,29.0,188.0,27.0,733.0,114.0,462.0,1725.0,A Python library for learning and evaluating knowledge graph embeddings.,41.0,31,True,2024-10-29 16:35:05.000,1.11.0,49.0,pykeen,,,,,285.0,266.0,https://pypi.org/project/pykeen,2024-10-29 16:25:52.000,19.0,11574.0,11578.0,,,,,,,,2.0,230.0,,,,,,,,,,,,,,,,,,, +277,TF Addons,tensorflow/addons,tensorflow-utils,,https://github.com/tensorflow/addons,https://github.com/tensorflow/addons,Apache-2.0,2018-11-26 23:57:17.000,2024-09-03 20:56:01.000000,2024-04-15 22:25:34,1519.0,,612.0,57.0,1884.0,92.0,899.0,1694.0,Useful extra functionality for TensorFlow 2.x maintained by SIG-addons.,207.0,31,True,2023-11-28 01:45:31.000,0.23.0,38.0,tensorflow-addons,,,,['tensorflow'],371.0,,https://pypi.org/project/tensorflow-addons,2023-11-28 01:45:31.000,371.0,1257249.0,1257249.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +278,pmdarima,alkaline-ml/pmdarima,time-series-data,,https://github.com/alkaline-ml/pmdarima,https://github.com/alkaline-ml/pmdarima,MIT,2017-03-30 14:58:30.000,2024-11-13 21:41:20.000000,2024-11-07 23:05:03,1082.0,2.0,235.0,37.0,256.0,65.0,274.0,1610.0,"A statistical library designed to fill the void in Pythons time series analysis capabilities, including the equivalent..",23.0,31,True,2023-10-23 16:52:00.000,2.0.4,44.0,pmdarima,conda-forge/pmdarima,,,,10471.0,10318.0,https://pypi.org/project/pmdarima,2023-10-23 14:02:41.000,153.0,2457437.0,2481627.0,https://anaconda.org/conda-forge/pmdarima,2024-07-14 16:03:51.778,1233700.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +279,lets-plot,JetBrains/lets-plot,data-viz,,https://github.com/JetBrains/lets-plot,https://github.com/JetBrains/lets-plot,MIT,2019-03-20 16:13:03.000,2025-01-09 14:55:41.000000,2025-01-09 14:55:37,4536.0,186.0,53.0,177.0,600.0,160.0,499.0,1607.0,Multiplatform plotting library based on the Grammar of Graphics.,21.0,31,True,2024-12-13 18:39:32.000,4.5.2,83.0,lets-plot,,,,,171.0,156.0,https://pypi.org/project/lets-plot,2024-12-17 18:17:21.000,15.0,35244.0,35293.0,,,,,,,,2.0,3038.0,,,,,,,,,,,,,,,,,,, +280,pyjanitor,pyjanitor-devs/pyjanitor,others,,https://github.com/pyjanitor-devs/pyjanitor,https://github.com/pyjanitor-devs/pyjanitor,MIT,2018-03-04 22:43:33.000,2025-01-07 09:03:22.000000,2025-01-07 09:00:44,1632.0,20.0,171.0,18.0,861.0,110.0,457.0,1381.0,Clean APIs for data cleaning. Python implementation of R package Janitor.,109.0,31,True,2024-12-04 19:50:34.000,0.30.0,66.0,pyjanitor,conda-forge/pyjanitor,,,,834.0,798.0,https://pypi.org/project/pyjanitor,2024-12-04 19:50:29.000,36.0,74256.0,78368.0,https://anaconda.org/conda-forge/pyjanitor,2024-12-05 10:07:32.356,230276.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +281,skforecast,JoaquinAmatRodrigo/skforecast,time-series-data,,https://github.com/skforecast/skforecast,https://github.com/skforecast/skforecast,BSD-3-Clause,2021-02-10 11:40:34.000,2025-01-08 15:26:45.000000,2024-11-28 09:24:18,4025.0,269.0,143.0,9.0,695.0,23.0,164.0,1206.0,Time series forecasting with machine learning models.,17.0,31,True,2024-11-11 13:34:47.000,0.14.0,29.0,skforecast,,,,['sklearn'],395.0,380.0,https://pypi.org/project/skforecast,2024-11-11 13:34:47.000,15.0,88515.0,88515.0,,,,,,,,2.0,,,skforecast/skforecast,,,,,,,,,,,,,,,,, +282,scikit-survival,sebp/scikit-survival,sklearn-utils,,https://github.com/sebp/scikit-survival,https://github.com/sebp/scikit-survival,GPL-3.0,2016-12-26 22:15:53.000,2025-01-04 17:40:09.000000,2025-01-04 17:39:10,1177.0,33.0,216.0,23.0,160.0,30.0,205.0,1151.0,Survival analysis built on top of scikit-learn.,22.0,31,False,2024-11-04 10:57:40.000,0.23.1,30.0,scikit-survival,conda-forge/scikit-survival,,,['sklearn'],720.0,683.0,https://pypi.org/project/scikit-survival,2024-11-04 10:57:40.000,37.0,173473.0,178125.0,https://anaconda.org/conda-forge/scikit-survival,2024-11-04 14:21:17.242,176797.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +283,Satpy,pytroll/satpy,geospatial-data,,https://github.com/pytroll/satpy,https://github.com/pytroll/satpy,GPL-3.0,2016-02-09 20:29:43.000,2025-01-06 23:22:16.000000,2025-01-01 16:17:03,14288.0,187.0,295.0,35.0,1928.0,499.0,685.0,1082.0,Python package for earth-observing satellite data processing.,173.0,31,False,2024-11-08 15:43:09.000,0.53.0,99.0,satpy,conda-forge/satpy,,,,185.0,154.0,https://pypi.org/project/satpy,2024-11-08 15:43:09.000,31.0,8830.0,13254.0,https://anaconda.org/conda-forge/satpy,2024-12-26 17:05:07.104,243334.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +284,pyopencl,inducer/pyopencl,others,,https://github.com/inducer/pyopencl,https://github.com/inducer/pyopencl,MIT,2011-04-06 02:51:33.000,2025-01-07 17:23:38.000000,2025-01-07 17:23:38,3394.0,12.0,242.0,50.0,416.0,76.0,282.0,1075.0,"OpenCL integration for Python, plus shiny features.",96.0,31,True,2024-10-18 17:14:33.000,2024.3,103.0,pyopencl,conda-forge/pyopencl,,,,2285.0,2111.0,https://pypi.org/project/pyopencl,2024-10-18 17:25:30.000,174.0,65691.0,91603.0,https://anaconda.org/conda-forge/pyopencl,2024-10-22 02:56:13.460,1425185.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +285,snowballstemmer,snowballstem/snowball,nlp,,https://github.com/snowballstem/snowball,https://github.com/snowballstem/snowball,BSD-3-Clause,2013-02-23 07:17:42.000,2025-01-08 05:20:03.000000,2025-01-08 05:19:49,1098.0,11.0,174.0,35.0,118.0,25.0,66.0,768.0,Snowball compiler and stemming algorithms.,35.0,31,True,2021-11-16 18:38:34.000,2.2.0,10.0,snowballstemmer,conda-forge/snowballstemmer,,,,459.0,10.0,https://pypi.org/project/snowballstemmer,2021-11-16 18:38:34.000,449.0,12548903.0,12638771.0,https://anaconda.org/conda-forge/snowballstemmer,2023-06-16 13:16:49.834,9076713.0,,,,,2.0,,2.0,,,,,,,,,,,,,,,,,, +286,python-soundfile,bastibe/python-soundfile,audio,,https://github.com/bastibe/python-soundfile,https://github.com/bastibe/python-soundfile,BSD-3-Clause,2013-08-27 13:36:52.000,2025-01-07 06:53:22.000000,2025-01-07 06:53:22,599.0,33.0,112.0,18.0,201.0,123.0,139.0,728.0,"SoundFile is an audio library based on libsndfile, CFFI, and NumPy.",37.0,31,True,2025-01-02 16:12:48.000,0.13.0,16.0,soundfile,anaconda/pysoundfile,,,,50280.0,49268.0,https://pypi.org/project/soundfile,2025-01-02 16:08:02.000,1012.0,3258555.0,3258716.0,https://anaconda.org/anaconda/pysoundfile,,,,,,,2.0,21126.0,,,,,,,,,,,,,,,,,,, +287,tensorflow-upstream,ROCmSoftwarePlatform/tensorflow-upstream,ml-frameworks,,https://github.com/ROCm/tensorflow-upstream,https://github.com/ROCm/tensorflow-upstream,Apache-2.0,2018-04-09 21:24:50.000,2025-01-08 06:36:19.000000,2025-01-07 12:16:37,177956.0,2584.0,95.0,51.0,2415.0,69.0,314.0,689.0,TensorFlow ROCm port.,4770.0,31,True,2022-12-06 16:42:53.965,2.9.4,100.0,tensorflow-rocm,,,,['tensorflow'],9.0,,https://pypi.org/project/tensorflow-rocm,2024-01-10 14:33:03.000,9.0,5830.0,5830.0,,,,,,,,3.0,26.0,,ROCm/tensorflow-upstream,,,,,,,,,,,,,,,,, +288,cleanlab,cleanlab/cleanlab,others,,https://github.com/cleanlab/cleanlab,https://github.com/cleanlab/cleanlab,AGPL-3.0,2018-05-11 01:55:21.000,2025-01-02 16:30:44.037000,2024-12-29 13:02:07,1749.0,8.0,751.0,88.0,815.0,111.0,289.0,9870.0,"The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.",53.0,30,False,2024-09-26 16:50:26.000,2.7.0,32.0,cleanlab,conda-forge/cleanlab,,,,440.0,422.0,https://pypi.org/project/cleanlab,2024-09-26 16:50:26.000,18.0,43906.0,44678.0,https://anaconda.org/conda-forge/cleanlab,2025-01-02 16:30:44.037,34769.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +289,imageai,OlafenwaMoses/ImageAI,image,,https://github.com/OlafenwaMoses/ImageAI,https://github.com/OlafenwaMoses/ImageAI,MIT,2018-03-19 23:12:33.000,2024-08-03 09:45:20.000000,2024-02-20 22:38:05,385.0,,2162.0,290.0,98.0,311.0,446.0,8687.0,A python library built to empower developers to build applications and systems with self-contained Computer Vision..,19.0,30,True,2023-01-02 17:10:24.749,3.0.3,13.0,imageai,conda-forge/imageai,,,,1745.0,1726.0,https://pypi.org/project/imageai,2023-01-02 17:10:24.749,19.0,7202.0,19106.0,https://anaconda.org/conda-forge/imageai,2023-06-16 19:21:01.568,8512.0,,,,,2.0,951579.0,,,,,,,,,,,,,,,,,,, +290,featuretools,alteryx/featuretools,hyperopt,,https://github.com/alteryx/featuretools,https://github.com/alteryx/featuretools,BSD-3-Clause,2017-09-08 22:15:17.000,2025-01-06 21:04:11.000000,2024-11-13 18:39:43,1380.0,1.0,878.0,159.0,1733.0,154.0,865.0,7329.0,An open source python library for automated feature engineering.,74.0,30,True,2024-05-14 18:59:58.000,1.31.0,106.0,featuretools,conda-forge/featuretools,,,,1948.0,1874.0,https://pypi.org/project/featuretools,2024-05-14 18:59:58.000,74.0,55366.0,59440.0,https://anaconda.org/conda-forge/featuretools,2024-05-15 15:26:44.535,224093.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +291,GluonCV,dmlc/gluon-cv,image,,https://github.com/dmlc/gluon-cv,https://github.com/dmlc/gluon-cv,Apache-2.0,2018-02-26 01:33:21.000,2024-11-25 15:30:52.000000,2023-01-19 00:37:33,900.0,,1216.0,153.0,954.0,60.0,788.0,5852.0,Gluon CV Toolkit.,119.0,30,False,2022-03-07 23:40:19.000,0.10.5,1535.0,gluoncv,,,,['mxnet'],76.0,21.0,https://pypi.org/project/gluoncv,2023-02-03 18:46:00.371,55.0,84480.0,84480.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +292,pandas-ta,twopirllc/pandas-ta,probabilistics,,https://github.com/twopirllc/pandas-ta,https://github.com/twopirllc/pandas-ta,MIT,2019-02-19 16:41:09.000,2024-07-28 06:06:31.000000,2024-06-24 00:50:16,586.0,,1081.0,111.0,263.0,107.0,502.0,5633.0,Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 150+ Indicators.,45.0,30,True,2021-07-28 20:21:21.000,0.3.14,19.0,pandas-ta,conda-forge/pandas-ta,,,['pandas'],4706.0,4564.0,https://pypi.org/project/pandas-ta,2021-07-28 20:51:17.000,142.0,127840.0,128430.0,https://anaconda.org/conda-forge/pandas-ta,2023-06-16 19:27:34.124,23044.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +293,VisualDL,PaddlePaddle/VisualDL,ml-experiments,,https://github.com/PaddlePaddle/VisualDL,https://github.com/PaddlePaddle/VisualDL,Apache-2.0,2017-12-20 12:34:31.000,2024-12-11 11:18:25.000000,2024-12-11 11:18:25,926.0,6.0,634.0,149.0,800.0,141.0,356.0,4801.0,Deep Learning Visualization Toolkit.,36.0,30,True,2024-10-30 02:46:42.000,3.0.0-beta,44.0,visualdl,,,,['paddle'],84.0,2.0,https://pypi.org/project/visualdl,2024-10-30 02:50:36.000,82.0,164678.0,164686.0,,,,,,,,2.0,486.0,,,,,,,,,,,,,,,,,,, +294,GluonTS,awslabs/gluon-ts,time-series-data,,https://github.com/awslabs/gluonts,https://github.com/awslabs/gluonts,Apache-2.0,2019-05-15 17:17:29.000,2024-12-16 22:42:59.295000,2024-11-05 15:19:52,1478.0,5.0,760.0,77.0,1823.0,326.0,637.0,4716.0,Probabilistic time series modeling in Python.,117.0,30,True,2024-11-11 08:51:05.000,0.16.0,112.0,gluonts,anaconda/gluonts,,,['mxnet'],33.0,,https://pypi.org/project/gluonts,2024-11-11 08:51:05.000,33.0,493990.0,494022.0,https://anaconda.org/anaconda/gluonts,2024-12-16 22:42:59.295,1249.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +295,nlpaug,makcedward/nlpaug,nlp,,https://github.com/makcedward/nlpaug,https://github.com/makcedward/nlpaug,MIT,2019-03-21 03:00:17.000,2024-12-23 15:30:17.782000,2022-07-07 05:16:43,738.0,,463.0,42.0,126.0,76.0,154.0,4487.0,Data augmentation for NLP.,33.0,30,False,2022-07-07 05:24:14.000,1.1.11,37.0,nlpaug,conda-forge/nlpaug,,,,1581.0,1516.0,https://pypi.org/project/nlpaug,2022-07-07 05:23:07.000,65.0,124504.0,125197.0,https://anaconda.org/conda-forge/nlpaug,2024-12-23 15:30:17.782,29816.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +296,Dedupe,dedupeio/dedupe,nlp,,https://github.com/dedupeio/dedupe,https://github.com/dedupeio/dedupe,MIT,2012-04-20 14:57:36.000,2024-11-25 02:57:39.000000,2024-11-01 16:12:42,3332.0,1.0,551.0,120.0,386.0,77.0,743.0,4192.0,"A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.",72.0,30,True,2024-08-15 14:31:34.000,3.0.3,179.0,dedupe,conda-forge/dedupe,,,,365.0,346.0,https://pypi.org/project/dedupe,2024-08-15 14:31:34.000,19.0,89546.0,91979.0,https://anaconda.org/conda-forge/dedupe,2023-06-16 19:28:08.623,90026.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +297,gpustat,wookayin/gpustat,gpu-utilities,,https://github.com/wookayin/gpustat,https://github.com/wookayin/gpustat,MIT,2016-04-24 10:46:43.000,2024-12-25 13:43:02.087000,2024-01-12 14:48:30,249.0,,283.0,44.0,51.0,28.0,97.0,4106.0,A simple command-line utility for querying and monitoring GPU status.,17.0,30,True,2023-08-22 19:40:33.000,1.1.1,15.0,gpustat,conda-forge/gpustat,,,,6694.0,6544.0,https://pypi.org/project/gpustat,2023-08-22 19:39:06.000,150.0,534760.0,540699.0,https://anaconda.org/conda-forge/gpustat,2024-12-25 13:43:02.087,296954.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +298,Porcupine,Picovoice/Porcupine,audio,,https://github.com/Picovoice/porcupine,https://github.com/Picovoice/porcupine,Apache-2.0,2018-03-08 01:55:25.000,2024-12-14 01:17:03.000000,2024-12-14 01:16:55,1262.0,25.0,498.0,67.0,773.0,5.0,561.0,3847.0,On-device wake word detection powered by deep learning.,41.0,30,True,2024-08-27 00:05:29.000,3.0.3,35.0,pvporcupine,,,,,71.0,36.0,https://pypi.org/project/pvporcupine,2024-08-27 00:05:29.000,35.0,10016.0,10016.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +299,bqplot,bqplot/bqplot,data-viz,,https://github.com/bqplot/bqplot,https://github.com/bqplot/bqplot,Apache-2.0,2015-09-26 04:02:18.000,2024-12-24 14:19:50.859000,2024-10-22 15:05:01,3667.0,4.0,466.0,101.0,1067.0,271.0,368.0,3639.0,Plotting library for IPython/Jupyter notebooks.,65.0,30,True,2024-12-24 14:19:50.859,0.5.45,113.0,bqplot,conda-forge/bqplot,,,['jupyter'],188.0,61.0,https://pypi.org/project/bqplot,2024-12-24 14:19:25.000,106.0,140897.0,170128.0,https://anaconda.org/conda-forge/bqplot,2024-12-16 10:22:21.065,1457135.0,,,,,3.0,,,,bqplot,https://www.npmjs.com/package/bqplot,2024-12-24 14:19:50.859,21.0,3211.0,,,,,,,,,,,, +300,NMSLIB,nmslib/nmslib,nn-search,,https://github.com/nmslib/nmslib,https://github.com/nmslib/nmslib,Apache-2.0,2013-07-10 11:06:06.000,2024-09-21 03:01:04.000000,2024-09-21 03:01:04,1581.0,,450.0,93.0,127.0,92.0,348.0,3436.0,Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods..,49.0,30,True,2021-02-03 16:40:09.000,2.1.1,32.0,nmslib,conda-forge/nmslib,,,,1330.0,1267.0,https://pypi.org/project/nmslib,2021-02-03 00:02:08.000,63.0,418702.0,422029.0,https://anaconda.org/conda-forge/nmslib,2024-09-09 06:18:10.925,169722.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +301,Determined,determined-ai/determined,ml-frameworks,,https://github.com/determined-ai/determined,https://github.com/determined-ai/determined,Apache-2.0,2020-04-07 16:12:29.000,2025-01-07 00:10:47.000000,2025-01-07 00:10:17,8383.0,123.0,357.0,85.0,9841.0,97.0,349.0,3075.0,"Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning,..",121.0,30,True,2024-11-22 21:17:18.000,0.38.0,601.0,determined,,,https://docs.determined.ai,"['pytorch', 'tensorflow']",4.0,,https://pypi.org/project/determined,2024-11-22 21:35:10.000,4.0,23175.0,23429.0,,,,,,,,3.0,11697.0,,,,,,,,,,,,,,,,,,, +302,lazypredict,shankarpandala/lazypredict,hyperopt,,https://github.com/shankarpandala/lazypredict,https://github.com/shankarpandala/lazypredict,MIT,2019-11-16 09:56:35.000,2024-11-04 00:31:30.000000,2024-11-03 09:05:19,317.0,65.0,346.0,29.0,340.0,95.0,41.0,3048.0,Lazy Predict help build a lot of basic models without much code and helps understand which models works better without..,18.0,30,True,2024-11-02 17:52:58.000,0.2.14-alpha.1,15.0,lazypredict,conda-forge/lazypredict,,,['sklearn'],1198.0,1192.0,https://pypi.org/project/lazypredict,2024-11-02 17:53:53.000,6.0,15010.0,15106.0,https://anaconda.org/conda-forge/lazypredict,2023-06-16 19:27:14.287,3952.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +303,tslearn,tslearn-team/tslearn,time-series-data,,https://github.com/tslearn-team/tslearn,https://github.com/tslearn-team/tslearn,BSD-2-Clause,2017-05-04 13:08:13.000,2024-07-26 07:25:11.554000,2024-07-01 04:53:53,1639.0,,342.0,60.0,195.0,139.0,197.0,2932.0,The machine learning toolkit for time series analysis in Python.,43.0,30,True,2023-12-12 14:39:23.000,0.6.3,100.0,tslearn,conda-forge/tslearn,,,['sklearn'],1653.0,1574.0,https://pypi.org/project/tslearn,2023-12-12 14:39:23.000,79.0,333736.0,360722.0,https://anaconda.org/conda-forge/tslearn,2024-07-26 07:25:11.554,1484246.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +304,explainerdashboard,oegedijk/explainerdashboard,interpretability,,https://github.com/oegedijk/explainerdashboard,https://github.com/oegedijk/explainerdashboard,MIT,2019-10-30 08:26:16.000,2024-12-29 21:23:32.000000,2024-12-29 21:20:41,1376.0,3.0,334.0,23.0,50.0,38.0,203.0,2346.0,Quickly build Explainable AI dashboards that show the inner workings of so-called blackbox machine learning models.,21.0,30,True,2024-12-29 21:23:32.000,0.4.8,92.0,explainerdashboard,conda-forge/explainerdashboard,,,,594.0,581.0,https://pypi.org/project/explainerdashboard,2024-12-29 21:23:32.000,13.0,51507.0,52700.0,https://anaconda.org/conda-forge/explainerdashboard,2024-03-18 22:16:35.129,58496.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +305,bt,pmorissette/bt,financial-data,,https://github.com/pmorissette/bt,https://github.com/pmorissette/bt,MIT,2014-06-19 16:06:28.000,2024-12-01 14:51:06.000000,2024-12-01 14:50:58,561.0,4.0,428.0,93.0,119.0,79.0,265.0,2344.0,bt - flexible backtesting for Python.,34.0,30,True,2024-08-06 13:46:05.000,1.1.0,28.0,bt,conda-forge/bt,,,,1649.0,1639.0,https://pypi.org/project/bt,2024-08-06 00:08:14.000,10.0,6931.0,8218.0,https://anaconda.org/conda-forge/bt,2024-09-21 21:55:35.462,57919.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +306,tesserocr,sirfz/tesserocr,ocr,,https://github.com/sirfz/tesserocr,https://github.com/sirfz/tesserocr,MIT,2015-12-17 23:29:36.000,2024-11-25 08:44:55.000000,2024-11-25 08:44:55,211.0,1.0,256.0,56.0,79.0,52.0,232.0,2038.0,A Python wrapper for the tesseract-ocr API.,30.0,30,True,2024-08-26 20:21:57.000,2.7.1,22.0,tesserocr,conda-forge/tesserocr,,,,1190.0,1154.0,https://pypi.org/project/tesserocr,2024-08-26 20:21:57.000,36.0,66249.0,70177.0,https://anaconda.org/conda-forge/tesserocr,2024-09-13 13:36:57.070,211780.0,,,,,2.0,745.0,,,,,,,,,,,,,,,,,,, +307,torchrec,pytorch/torchrec,recommender-systems,,https://github.com/pytorch/torchrec,https://github.com/pytorch/torchrec,BSD-3-Clause,2021-07-12 23:15:48.000,2025-01-09 11:34:50.000000,2025-01-08 21:11:30,2309.0,147.0,448.0,35.0,2481.0,322.0,129.0,2003.0,Pytorch domain library for recommendation systems.,308.0,30,True,2024-10-21 22:05:16.000,1.0.0-rc3,77.0,torchrec-nightly-cpu,,,,,167.0,167.0,https://pypi.org/project/torchrec-nightly-cpu,2022-05-12 18:55:21.000,,2160.0,2160.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +308,audiomentations,iver56/audiomentations,audio,,https://github.com/iver56/audiomentations,https://github.com/iver56/audiomentations,MIT,2019-02-12 16:36:24.000,2024-12-09 11:19:11.000000,2024-12-09 11:19:06,1278.0,19.0,193.0,21.0,181.0,49.0,140.0,1915.0,A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.,30.0,30,True,2024-12-06 14:37:11.000,0.38.0,42.0,audiomentations,,,,,670.0,649.0,https://pypi.org/project/audiomentations,2024-12-06 14:37:11.000,21.0,39896.0,39896.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +309,PyCUDA,inducer/pycuda,gpu-utilities,,https://github.com/inducer/pycuda,https://github.com/inducer/pycuda,MIT,2011-04-06 02:53:31.000,2024-11-05 23:42:06.000000,2024-11-05 23:42:06,1611.0,2.0,286.0,56.0,143.0,83.0,194.0,1892.0,"CUDA integration for Python, plus shiny features.",82.0,30,True,2024-07-30 16:38:24.000,2024.1.2,55.0,pycuda,conda-forge/pycuda,,,,3513.0,3356.0,https://pypi.org/project/pycuda,2024-07-30 13:53:42.000,157.0,71448.0,86505.0,https://anaconda.org/conda-forge/pycuda,2024-08-17 22:59:08.823,692663.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +310,GPflow,GPflow/GPflow,probabilistics,,https://github.com/GPflow/GPflow,https://github.com/GPflow/GPflow,Apache-2.0,2016-01-14 11:29:24.000,2024-12-30 11:24:38.000000,2024-10-04 09:56:03,2451.0,,435.0,76.0,1271.0,154.0,682.0,1856.0,Gaussian processes in TensorFlow.,84.0,30,True,2024-06-17 13:05:05.000,2.9.2,50.0,gpflow,conda-forge/gpflow,,,['tensorflow'],748.0,713.0,https://pypi.org/project/gpflow,2024-06-17 13:05:05.000,35.0,66537.0,67640.0,https://anaconda.org/conda-forge/gpflow,2024-06-26 16:24:01.852,38625.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +311,SciSpacy,allenai/scispacy,nlp,,https://github.com/allenai/scispacy,https://github.com/allenai/scispacy,Apache-2.0,2018-09-24 21:45:52.000,2024-11-23 21:58:13.000000,2024-11-23 21:58:13,1066.0,4.0,228.0,52.0,213.0,32.0,292.0,1732.0,A full spaCy pipeline and models for scientific/biomedical documents.,37.0,30,True,2024-10-27 05:43:35.000,0.5.5,16.0,scispacy,,,,,1052.0,1018.0,https://pypi.org/project/scispacy,2024-10-27 05:43:35.000,34.0,19921.0,19921.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +312,pingouin,raphaelvallat/pingouin,probabilistics,,https://github.com/raphaelvallat/pingouin,https://github.com/raphaelvallat/pingouin,GPL-3.0,2018-04-01 01:10:22.000,2025-01-06 13:25:07.564000,2024-12-08 12:55:17,1260.0,4.0,144.0,32.0,123.0,42.0,269.0,1658.0,Statistical package in Python based on Pandas.,48.0,30,False,2024-09-04 10:48:32.000,0.5.5,41.0,pingouin,conda-forge/pingouin,,,,2803.0,2647.0,https://pypi.org/project/pingouin,2024-09-04 10:42:50.000,156.0,108031.0,110707.0,https://anaconda.org/conda-forge/pingouin,2025-01-06 13:25:07.564,147222.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +313,dstack,dstackai/dstack,others,,https://github.com/dstackai/dstack,https://github.com/dstackai/dstack,MPL-2.0,2022-01-04 10:29:46.000,2025-01-09 12:27:00.000000,2025-01-09 11:58:15,2391.0,235.0,163.0,12.0,1056.0,98.0,1006.0,1645.0,"dstack is a lightweight, open-source alternative to Kubernetes & Slurm, simplifying AI container orchestration with..",49.0,30,True,2025-01-09 11:28:53.000,0.18.34,253.0,dstack,,,,,18.0,18.0,https://pypi.org/project/dstack,2025-01-08 18:17:36.000,,8295.0,8295.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +314,Geomstats,geomstats/geomstats,ml-frameworks,,https://github.com/geomstats/geomstats,https://github.com/geomstats/geomstats,MIT,2017-10-25 00:44:57.000,2025-01-08 01:24:21.000000,2025-01-08 01:24:21,10821.0,31.0,251.0,40.0,1513.0,209.0,358.0,1282.0,Computations and statistics on manifolds with geometric structures.,93.0,30,True,2024-09-09 17:46:06.000,2.8.0,33.0,geomstats,conda-forge/geomstats,,https://geomstats.github.io/,,142.0,130.0,https://pypi.org/project/geomstats,2024-09-09 17:41:39.000,12.0,4029.0,4178.0,https://anaconda.org/conda-forge/geomstats,2025-01-01 19:03:18.457,4620.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +315,CellProfiler,CellProfiler/CellProfiler,image,,https://github.com/CellProfiler/CellProfiler,https://github.com/CellProfiler/CellProfiler,BSD-3-Clause,2011-04-05 12:10:12.000,2025-01-04 18:02:53.000000,2025-01-04 18:02:53,16704.0,51.0,383.0,46.0,1657.0,302.0,2998.0,934.0,An open-source application for biological image analysis.,145.0,30,True,2024-09-27 21:18:50.000,4.2.8,35.0,cellprofiler,,,,,28.0,26.0,https://pypi.org/project/cellprofiler,2024-09-16 19:44:11.000,2.0,1232.0,1294.0,,,,,,,,2.0,8220.0,,,,,,,,,,,,,,,,,,, +316,geojson,jazzband/geojson,geospatial-data,,https://github.com/jazzband/geojson,https://github.com/jazzband/geojson,BSD-3-Clause,2011-07-01 20:39:48.000,2024-12-22 16:30:21.524000,2024-12-21 19:30:30,501.0,2.0,122.0,32.0,133.0,24.0,77.0,931.0,Python bindings and utilities for GeoJSON.,58.0,30,True,2024-12-21 19:35:29.000,3.2.0,32.0,geojson,conda-forge/geojson,,,,19739.0,19016.0,https://pypi.org/project/geojson,2024-12-21 19:35:29.000,723.0,1995054.0,2034074.0,https://anaconda.org/conda-forge/geojson,2024-12-22 16:30:21.524,897463.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +317,tinytag,devsnd/tinytag,audio,,https://github.com/tinytag/tinytag,https://github.com/tinytag/tinytag,MIT,2014-01-27 15:27:01.000,2024-12-16 11:38:25.000000,2024-12-16 11:36:24,637.0,64.0,102.0,24.0,117.0,4.0,113.0,719.0,Python library for reading audio file metadata.,27.0,30,True,2024-11-03 22:13:25.000,2.0.0,42.0,tinytag,,,,,1239.0,1126.0,https://pypi.org/project/tinytag,2024-11-03 15:25:04.000,113.0,62796.0,62796.0,,,,,,,,2.0,,,tinytag/tinytag,,,,,,,,,,,,,,,,, +318,CNTK,microsoft/CNTK,ml-frameworks,,https://github.com/microsoft/CNTK,https://github.com/microsoft/CNTK,MIT,2015-11-26 09:52:06.000,2023-03-11 07:31:35.000000,2022-09-23 14:06:50,16117.0,,4283.0,1249.0,557.0,840.0,2543.0,17540.0,"Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit.",274.0,29,False,2019-04-26 14:13:32.000,2.7,32.0,cntk,,,,,5.0,2.0,https://pypi.org/project/cntk,2020-12-09 22:21:57.000,3.0,827.0,964.0,,,,,,,,3.0,14812.0,,,,,,,,,,,,,,,,,,, +319,baselines,openai/baselines,reinforcement-learning,,https://github.com/openai/baselines,https://github.com/openai/baselines,MIT,2017-05-24 01:58:13.000,2024-08-01 21:31:33.000000,2020-01-31 13:06:18,347.0,,4881.0,642.0,375.0,504.0,436.0,15942.0,OpenAI Baselines: high-quality implementations of reinforcement learning algorithms.,115.0,29,False,2018-02-26 17:07:07.000,0.1.5,6.0,baselines,,,,,603.0,600.0,https://pypi.org/project/baselines,2018-02-26 17:07:07.000,3.0,1508.0,1508.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +320,PaddleDetection,PaddlePaddle/PaddleDetection,image,,https://github.com/PaddlePaddle/PaddleDetection,https://github.com/PaddlePaddle/PaddleDetection,Apache-2.0,2019-10-25 07:21:14.000,2025-01-09 09:18:37.000000,2024-12-03 04:02:11,2300.0,7.0,2911.0,200.0,3781.0,1251.0,4255.0,12984.0,"Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object..",181.0,29,True,2024-11-08 02:50:05.000,2.8.0,10.0,paddledet,,,,['paddle'],2.0,,https://pypi.org/project/paddledet,2022-09-19 20:42:09.271,2.0,614.0,614.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +321,pretrainedmodels,Cadene/pretrained-models.pytorch,pytorch-utils,,https://github.com/Cadene/pretrained-models.pytorch,https://github.com/Cadene/pretrained-models.pytorch,BSD-3-Clause,2017-04-09 15:54:23.000,2023-06-16 19:20:12.183000,2020-04-16 08:02:22,154.0,,1834.0,214.0,47.0,101.0,94.0,9055.0,"Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.",22.0,29,False,2018-10-29 08:18:45.000,0.7.4,16.0,pretrainedmodels,conda-forge/pretrainedmodels,,,['pytorch'],86.0,20.0,https://pypi.org/project/pretrainedmodels,2018-10-29 08:18:45.000,66.0,192464.0,193315.0,https://anaconda.org/conda-forge/pretrainedmodels,2023-06-16 19:20:12.183,46819.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +322,DoWhy,py-why/dowhy,interpretability,,https://github.com/py-why/dowhy,https://github.com/py-why/dowhy,MIT,2018-05-31 13:07:04.000,2025-01-06 05:35:50.000000,2024-12-31 08:15:19,1065.0,21.0,935.0,140.0,762.0,135.0,350.0,7223.0,DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions...,100.0,29,True,2024-11-24 07:33:52.000,0.12,16.0,dowhy,conda-forge/dowhy,,,,501.0,483.0,https://pypi.org/project/dowhy,2024-11-24 07:36:17.000,18.0,42580.0,43314.0,https://anaconda.org/conda-forge/dowhy,2024-11-25 05:19:58.903,36728.0,,,,,2.0,42.0,,,,,,,,,,,,,,,,,,, +323,CleverHans,cleverhans-lab/cleverhans,adversarial,,https://github.com/cleverhans-lab/cleverhans,https://github.com/cleverhans-lab/cleverhans,MIT,2016-09-15 00:28:04.000,2024-04-10 13:26:10.000000,2023-01-31 19:40:04,3203.0,,1389.0,190.0,786.0,45.0,423.0,6229.0,"An adversarial example library for constructing attacks, building defenses, and benchmarking both.",132.0,29,False,2021-07-24 08:53:21.000,4.0.0,8.0,cleverhans,conda-forge/cleverhans,,,['tensorflow'],784.0,777.0,https://pypi.org/project/cleverhans,2021-07-24 08:53:21.000,7.0,1337.0,1514.0,https://anaconda.org/conda-forge/cleverhans,2023-06-16 19:20:32.486,9745.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +324,causalml,uber/causalml,others,,https://github.com/uber/causalml,https://github.com/uber/causalml,Apache-2.0,2019-07-09 02:08:58.000,2024-12-27 00:59:14.000000,2024-12-13 20:29:18,629.0,4.0,777.0,85.0,358.0,54.0,348.0,5175.0,Uplift modeling and causal inference with machine learning algorithms.,64.0,29,True,2024-10-01 06:25:01.000,0.15.2,25.0,causalml,,,,,241.0,239.0,https://pypi.org/project/causalml,2024-10-01 06:25:01.000,2.0,34992.0,34992.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +325,SynapseML,microsoft/SynapseML,distributed-ml,,https://github.com/microsoft/SynapseML,https://github.com/microsoft/SynapseML,MIT,2017-06-05 08:23:44.000,2025-01-07 22:16:47.000000,2025-01-07 22:16:47,1655.0,17.0,833.0,145.0,1596.0,387.0,403.0,5091.0,Simple and Distributed Machine Learning.,121.0,29,True,2024-10-16 04:33:49.000,1.0.8,58.0,synapseml,,,,,5.0,,https://pypi.org/project/synapseml,2024-10-16 04:33:49.000,5.0,225590.0,225590.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +326,sahi,obss/sahi,image,,https://github.com/obss/sahi,https://github.com/obss/sahi,MIT,2021-01-30 12:54:53.000,2024-12-18 08:11:39.000000,2024-12-18 08:11:22,524.0,9.0,602.0,46.0,556.0,11.0,,4244.0,Framework agnostic sliced/tiled inference + interactive ui + error analysis plots.,48.0,29,True,2024-12-16 17:07:49.000,0.11.20,105.0,sahi,conda-forge/sahi,,,,1614.0,1583.0,https://pypi.org/project/sahi,2024-12-16 17:07:49.000,31.0,189852.0,192670.0,https://anaconda.org/conda-forge/sahi,2024-12-18 02:06:06.849,84481.0,,,,,3.0,30654.0,,,,,,,,,,,,,,,,,,, +327,doctr,mindee/doctr,image,,https://github.com/mindee/doctr,https://github.com/mindee/doctr,Apache-2.0,2021-01-08 16:05:12.000,2025-01-06 14:03:43.000000,2025-01-06 13:57:21,926.0,35.0,452.0,43.0,1021.0,27.0,353.0,4126.0,"docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by..",55.0,29,True,2024-10-21 08:40:28.000,0.10.0,17.0,python-doctr,,,,"['tensorflow', 'pytorch']",12.0,,https://pypi.org/project/python-doctr,2024-10-21 08:40:28.000,12.0,32955.0,131228.0,,,,,,,,3.0,4618863.0,,,,,,,,,,,,,,,,,,, +328,missingno,ResidentMario/missingno,data-viz,,https://github.com/ResidentMario/missingno,https://github.com/ResidentMario/missingno,MIT,2016-03-27 15:18:50.000,2024-05-14 18:30:13.000000,2023-02-26 20:07:33,189.0,,518.0,77.0,39.0,15.0,121.0,3997.0,Missing data visualization module for Python.,18.0,29,False,2023-02-26 20:11:59.371,0.5.2,26.0,missingno,conda-forge/missingno,,,,19939.0,19817.0,https://pypi.org/project/missingno,2023-02-26 20:11:59.371,122.0,180191.0,217997.0,https://anaconda.org/conda-forge/missingno,2024-03-02 01:06:27.711,378062.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +329,anomalib,openvinotoolkit/anomalib,others,,https://github.com/openvinotoolkit/anomalib,https://github.com/openvinotoolkit/anomalib,Apache-2.0,2021-11-02 09:11:38.000,2025-01-09 13:11:48.000000,2025-01-08 14:06:03,705.0,22.0,696.0,41.0,1035.0,147.0,808.0,3951.0,"An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-..",81.0,29,True,2024-10-31 09:00:44.000,1.2.0,34.0,anomalib,,,,,128.0,123.0,https://pypi.org/project/anomalib,2024-10-31 09:01:10.000,5.0,24276.0,24706.0,,,,,,,,2.0,15927.0,,,,,,,,,,,,,,,,,,, +330,Deep Checks,deepchecks/deepchecks,interpretability,,https://github.com/deepchecks/deepchecks,https://github.com/deepchecks/deepchecks,AGPL-3.0,2021-10-11 14:48:38.000,2024-12-15 15:25:31.000000,2024-12-12 15:50:20,1496.0,9.0,256.0,23.0,1759.0,254.0,730.0,3665.0,Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all..,53.0,29,False,2024-12-15 15:25:39.000,0.19.1,62.0,deepchecks,,,,,486.0,474.0,https://pypi.org/project/deepchecks,2024-12-15 15:25:31.000,12.0,32580.0,32614.0,,,,,,,,2.0,1355.0,,,,,,,,,,,,,,,,,,, +331,implicit,benfred/implicit,recommender-systems,,https://github.com/benfred/implicit,https://github.com/benfred/implicit,MIT,2016-04-17 03:45:23.000,2024-08-23 13:53:47.619000,2023-11-21 21:15:59,435.0,,612.0,77.0,230.0,95.0,404.0,3597.0,Fast Python Collaborative Filtering for Implicit Feedback Datasets.,34.0,29,False,2023-09-29 21:07:11.000,0.7.2,47.0,implicit,conda-forge/implicit,,,,1652.0,1623.0,https://pypi.org/project/implicit,2023-09-29 21:07:11.000,29.0,241806.0,261262.0,https://anaconda.org/conda-forge/implicit,2024-08-23 13:53:47.619,1009423.0,,,,,2.0,1648.0,,,,,,,,,,,,,,,,,,, +332,Sumy,miso-belica/sumy,nlp,,https://github.com/miso-belica/sumy,https://github.com/miso-belica/sumy,Apache-2.0,2013-02-20 12:56:48.000,2025-01-03 05:54:28.873000,2024-05-16 18:13:03,456.0,,526.0,114.0,93.0,23.0,101.0,3545.0,Module for automatic summarization of text documents and HTML pages.,32.0,29,True,2022-10-23 16:42:18.783,0.11.0,16.0,sumy,conda-forge/sumy,,,,3426.0,3395.0,https://pypi.org/project/sumy,2022-10-23 16:42:18.783,31.0,104619.0,104861.0,https://anaconda.org/conda-forge/sumy,2025-01-03 05:54:28.873,10435.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +333,TextDistance,life4/textdistance,nlp,,https://github.com/life4/textdistance,https://github.com/life4/textdistance,MIT,2017-05-05 08:46:10.000,2025-01-05 13:15:52.409000,2024-09-09 06:24:01,415.0,,251.0,64.0,56.0,9.0,,3429.0,"Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external..",17.0,29,True,2024-07-16 09:36:19.000,4.6.3,29.0,textdistance,conda-forge/textdistance,,,,7763.0,7664.0,https://pypi.org/project/textdistance,2024-07-16 09:34:51.000,99.0,722852.0,736939.0,https://anaconda.org/conda-forge/textdistance,2025-01-05 13:15:52.409,703750.0,,,,,2.0,1051.0,,,,,,,,,,,,,,,,,,, +334,hmmlearn,hmmlearn/hmmlearn,probabilistics,,https://github.com/hmmlearn/hmmlearn,https://github.com/hmmlearn/hmmlearn,BSD-3-Clause,2014-03-23 10:33:09.000,2024-10-31 19:43:08.823000,2024-10-31 09:14:19,481.0,2.0,739.0,123.0,131.0,71.0,375.0,3095.0,"Hidden Markov Models in Python, with scikit-learn like API.",49.0,29,True,2024-10-31 09:03:22.000,0.3.3,14.0,hmmlearn,conda-forge/hmmlearn,,,['sklearn'],3099.0,3007.0,https://pypi.org/project/hmmlearn,2024-10-31 09:03:22.000,92.0,121070.0,127174.0,https://anaconda.org/conda-forge/hmmlearn,2024-10-31 19:43:08.823,317420.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +335,mljar-supervised,mljar/mljar-supervised,hyperopt,,https://github.com/mljar/mljar-supervised,https://github.com/mljar/mljar-supervised,MIT,2018-11-05 12:58:04.000,2024-11-26 12:05:54.000000,2024-11-26 12:05:53,1223.0,6.0,410.0,51.0,95.0,141.0,522.0,3086.0,"Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and..",29.0,29,True,2024-11-12 09:10:30.000,1.1.14,97.0,mljar-supervised,conda-forge/mljar-supervised,,,,142.0,136.0,https://pypi.org/project/mljar-supervised,2024-11-12 09:10:30.000,6.0,9711.0,10373.0,https://anaconda.org/conda-forge/mljar-supervised,2024-11-12 15:10:26.203,28476.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +336,Essentia,MTG/essentia,audio,,https://github.com/MTG/essentia,https://github.com/MTG/essentia,AGPL-3.0,2013-06-03 14:53:47.000,2025-01-09 14:06:02.000000,2025-01-09 14:06:02,3662.0,20.0,527.0,110.0,364.0,388.0,691.0,2912.0,"C++ library for audio and music analysis, description and synthesis, including Python bindings.",81.0,29,False,2015-03-31 16:33:30.000,2.0,21.0,essentia,,,,,863.0,843.0,https://pypi.org/project/essentia,2024-04-29 15:12:27.000,20.0,9043.0,9043.0,,,,,,,,3.0,,2.0,,,,,,,,,,,,,,,,,, +337,shapash,MAIF/shapash,interpretability,,https://github.com/MAIF/shapash,https://github.com/MAIF/shapash,Apache-2.0,2020-04-29 07:34:23.000,2025-01-09 13:20:44.000000,2025-01-09 13:20:44,1702.0,30.0,335.0,37.0,369.0,38.0,185.0,2762.0,Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models.,40.0,29,True,2024-12-09 15:46:12.000,2.7.5,48.0,shapash,,,,['jupyter'],190.0,186.0,https://pypi.org/project/shapash,2024-12-09 15:46:12.000,4.0,7397.0,7397.0,,,,,,,,2.0,,-2.0,,,,,,,,,,,,,,,,,, +338,GluonNLP,dmlc/gluon-nlp,nlp,,https://github.com/dmlc/gluon-nlp,https://github.com/dmlc/gluon-nlp,Apache-2.0,2018-04-04 20:57:13.000,2023-10-06 04:01:21.000000,2022-12-25 20:52:27,843.0,,519.0,96.0,1045.0,260.0,297.0,2551.0,"Toolkit that enables easy text preprocessing, datasets loading and neural models building to help you speed up your..",86.0,29,False,2020-08-13 19:17:42.000,0.10.0,26.0,gluonnlp,,,,['mxnet'],1680.0,1658.0,https://pypi.org/project/gluonnlp,2020-08-13 19:17:42.000,22.0,89251.0,89251.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +339,alibi-detect,SeldonIO/alibi-detect,others,,https://github.com/SeldonIO/alibi-detect,https://github.com/SeldonIO/alibi-detect,Intel,2019-10-07 13:29:13.000,2024-12-16 07:07:04.000000,2024-12-11 16:12:58,739.0,12.0,225.0,41.0,562.0,140.0,235.0,2277.0,"Algorithms for outlier, adversarial and drift detection.",26.0,29,False,2024-04-17 16:12:46.000,0.12.0,38.0,alibi-detect,,,,,510.0,503.0,https://pypi.org/project/alibi-detect,2024-04-17 16:12:46.000,7.0,76206.0,76206.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +340,pyLDAvis,bmabey/pyLDAvis,interpretability,,https://github.com/bmabey/pyLDAvis,https://github.com/bmabey/pyLDAvis,BSD-3-Clause,2015-04-09 22:48:03.000,2024-07-09 19:44:03.000000,2024-04-29 20:57:51,290.0,,359.0,47.0,80.0,77.0,114.0,1812.0,Python library for interactive topic model visualization. Port of the R LDAvis package.,42.0,29,True,2023-04-23 23:55:02.142,3.4.1,26.0,pyldavis,conda-forge/pyldavis,,,['jupyter'],6900.0,6797.0,https://pypi.org/project/pyldavis,2023-04-23 23:55:02.142,103.0,109579.0,110715.0,https://anaconda.org/conda-forge/pyldavis,2023-06-16 16:08:55.034,89758.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +341,torchsde,google-research/torchsde,pytorch-utils,,https://github.com/google-research/torchsde,https://github.com/google-research/torchsde,Apache-2.0,2020-07-06 23:13:11.000,2024-12-30 10:52:51.000000,2024-12-30 10:52:51,164.0,1.0,201.0,34.0,76.0,29.0,53.0,1596.0,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.,9.0,29,True,2023-09-26 22:07:23.000,0.2.6,5.0,torchsde,conda-forge/torchsde,,,['pytorch'],4304.0,4267.0,https://pypi.org/project/torchsde,2023-09-26 21:52:19.000,37.0,1932047.0,1932737.0,https://anaconda.org/conda-forge/torchsde,2024-11-21 00:34:31.332,33149.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +342,TabPy,tableau/TabPy,others,,https://github.com/tableau/TabPy,https://github.com/tableau/TabPy,MIT,2016-09-27 21:26:03.000,2024-11-25 22:37:09.000000,2024-11-25 22:31:52,1041.0,24.0,601.0,103.0,296.0,22.0,300.0,1585.0,Execute Python code on the fly and display results in Tableau visualizations:.,51.0,29,True,2024-11-25 22:37:09.000,2.13.0,36.0,tabpy,anaconda/tabpy-client,,,,195.0,193.0,https://pypi.org/project/tabpy,2024-11-25 22:37:09.000,2.0,6310.0,6361.0,https://anaconda.org/anaconda/tabpy-client,2023-06-16 13:20:17.078,4813.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +343,emcee,dfm/emcee,probabilistics,,https://github.com/dfm/emcee,https://github.com/dfm/emcee,MIT,2011-11-07 16:17:08.000,2025-01-01 04:01:49.000000,2024-12-07 19:02:56,953.0,2.0,431.0,86.0,239.0,57.0,242.0,1483.0,The Python ensemble sampling toolkit for affine-invariant MCMC.,74.0,29,True,2024-04-19 10:03:17.000,3.1.6,27.0,emcee,conda-forge/emcee,,,,3173.0,2735.0,https://pypi.org/project/emcee,2024-04-19 10:03:17.000,438.0,88680.0,97493.0,https://anaconda.org/conda-forge/emcee,2024-12-13 20:47:09.726,378966.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +344,spacy-transformers,explosion/spacy-transformers,nlp,,https://github.com/explosion/spacy-transformers,https://github.com/explosion/spacy-transformers,MIT,2019-07-26 19:12:34.000,2024-12-11 20:40:27.070000,2024-06-05 08:42:47,1478.0,,166.0,31.0,252.0,,,1357.0,"Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy.",22.0,29,True,2024-04-25 12:54:53.000,1.3.5,77.0,spacy-transformers,conda-forge/spacy-transformers,,,['spacy'],2094.0,2007.0,https://pypi.org/project/spacy-transformers,2024-04-25 12:53:43.000,87.0,199766.0,201933.0,https://anaconda.org/conda-forge/spacy-transformers,2024-12-11 20:40:27.070,82355.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +345,Prince,MaxHalford/prince,others,,https://github.com/MaxHalford/prince,https://github.com/MaxHalford/prince,MIT,2016-10-22 12:36:06.000,2025-01-05 07:32:06.000000,2025-01-05 07:31:54,436.0,28.0,184.0,25.0,43.0,,133.0,1305.0,"Multivariate exploratory data analysis in Python PCA, CA, MCA, MFA, FAMD, GPA.",16.0,29,True,2025-01-04 00:46:16.000,0.15.0,62.0,prince,conda-forge/prince-factor-analysis,,,['sklearn'],672.0,653.0,https://pypi.org/project/prince,2025-01-04 00:46:16.000,19.0,139184.0,139541.0,https://anaconda.org/conda-forge/prince-factor-analysis,2023-06-16 16:19:02.748,22166.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +346,Model Analysis,tensorflow/model-analysis,interpretability,,https://github.com/tensorflow/model-analysis,https://github.com/tensorflow/model-analysis,Apache-2.0,2018-03-23 19:08:49.000,2025-01-08 21:37:14.000000,2025-01-08 21:37:13,1529.0,25.0,280.0,68.0,110.0,38.0,59.0,1258.0,Model analysis tools for TensorFlow.,59.0,29,True,2024-11-27 19:31:49.000,0.47.1,59.0,tensorflow-model-analysis,,,,"['tensorflow', 'jupyter']",19.0,,https://pypi.org/project/tensorflow-model-analysis,2024-12-05 02:06:57.000,19.0,80589.0,80589.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +347,Keras-Preprocessing,keras-team/keras-preprocessing,tensorflow-utils,,https://github.com/keras-team/keras-preprocessing,https://github.com/keras-team/keras-preprocessing,MIT,2018-05-30 22:43:36.000,2025-01-05 22:17:55.224000,2022-02-17 22:38:15,288.0,,443.0,43.0,176.0,93.0,102.0,1025.0,"Utilities for working with image data, text data, and sequence data.",52.0,29,False,2020-05-14 03:55:22.223,1.1.2,12.0,keras-preprocessing,conda-forge/keras-preprocessing,,,['tensorflow'],311.0,,https://pypi.org/project/keras-preprocessing,2020-05-14 03:55:22.223,311.0,3609766.0,3658818.0,https://anaconda.org/conda-forge/keras-preprocessing,2025-01-05 22:17:55.224,2354514.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +348,SALib,SALib/SALib,probabilistics,,https://github.com/SALib/SALib,https://github.com/SALib/SALib,MIT,2013-05-30 13:38:10.000,2025-01-06 12:55:27.000000,2025-01-06 12:55:27,1968.0,2.0,240.0,19.0,303.0,54.0,287.0,896.0,"Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.",50.0,29,True,2024-08-19 16:35:23.000,1.5.1,49.0,salib,conda-forge/salib,,,,1496.0,1369.0,https://pypi.org/project/salib,2024-08-19 16:35:23.000,127.0,155671.0,159562.0,https://anaconda.org/conda-forge/salib,2024-12-27 14:23:52.383,198485.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +349,mpi4py,mpi4py/mpi4py,distributed-ml,,https://github.com/mpi4py/mpi4py,https://github.com/mpi4py/mpi4py,BSD-3-Clause,2013-09-05 14:44:25.000,2025-01-08 18:51:49.210000,2024-12-21 14:41:29,3222.0,21.0,120.0,16.0,323.0,8.0,185.0,826.0,Python bindings for MPI.,27.0,29,True,2024-10-11 10:59:53.000,4.0.1,30.0,mpi4py,conda-forge/mpi4py,,,,750.0,,https://pypi.org/project/mpi4py,2024-10-11 10:59:53.000,750.0,271012.0,335331.0,https://anaconda.org/conda-forge/mpi4py,2025-01-08 18:51:49.210,3253028.0,,,,,2.0,28932.0,,,,,,,,,,,,,,,,,,, +350,TensorFlow I/O,tensorflow/io,tensorflow-utils,,https://github.com/tensorflow/io,https://github.com/tensorflow/io,Apache-2.0,2018-11-09 22:44:05.000,2025-01-08 19:46:41.000000,2024-07-01 21:47:36,1690.0,,288.0,42.0,1450.0,293.0,371.0,714.0,"Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO.",110.0,29,True,2024-07-01 23:45:56.000,0.37.1,45.0,tensorflow-io,,,,['tensorflow'],61.0,,https://pypi.org/project/tensorflow-io,2024-07-01 23:43:17.000,61.0,743864.0,743864.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +351,GeoViews,holoviz/geoviews,geospatial-data,,https://github.com/holoviz/geoviews,https://github.com/holoviz/geoviews,BSD-3-Clause,2016-04-19 16:27:01.000,2024-12-18 08:19:39.527000,2024-12-17 11:26:34,868.0,21.0,77.0,26.0,421.0,109.0,243.0,606.0,"Simple, concise geographical visualization in Python.",32.0,29,True,2024-12-18 08:38:32.000,1.14.0,71.0,geoviews,conda-forge/geoviews,,,,1242.0,1179.0,https://pypi.org/project/geoviews,2024-12-17 11:40:57.000,63.0,12045.0,17236.0,https://anaconda.org/conda-forge/geoviews,2024-12-18 08:19:39.527,269950.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +352,Neptune.ai,neptune-ai/neptune-client,ml-experiments,,https://github.com/neptune-ai/neptune-client,https://github.com/neptune-ai/neptune-client,Apache-2.0,2019-02-11 11:25:57.000,2025-01-03 15:44:07.000000,2024-12-19 13:55:54,2106.0,7.0,64.0,19.0,1647.0,33.0,218.0,592.0,The experiment tracker for foundation model training.,55.0,29,True,2024-10-31 09:03:43.000,1.13.0,211.0,neptune-client,conda-forge/neptune-client,,,,789.0,712.0,https://pypi.org/project/neptune-client,2024-10-31 09:03:43.000,77.0,526776.0,532239.0,https://anaconda.org/conda-forge/neptune-client,2024-10-31 15:38:08.903,305960.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +353,audioread,beetbox/audioread,audio,,https://github.com/beetbox/audioread,https://github.com/beetbox/audioread,MIT,2011-11-08 19:53:18.000,2024-09-03 10:05:52.331000,2023-12-15 12:50:52,282.0,,107.0,25.0,54.0,37.0,57.0,500.0,cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding for Python.,25.0,29,False,2023-09-27 19:27:51.000,3.0.1,27.0,audioread,conda-forge/audioread,,,,27541.0,27406.0,https://pypi.org/project/audioread,2023-09-27 19:27:51.000,135.0,2014441.0,2032565.0,https://anaconda.org/conda-forge/audioread,2024-09-03 10:05:52.331,924338.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +354,backtrader,mementum/backtrader,financial-data,,https://github.com/mementum/backtrader,https://github.com/mementum/backtrader,GPL-3.0,2015-01-10 07:14:52.000,2024-08-19 17:47:36.000000,2023-04-19 14:13:08,2404.0,,3895.0,624.0,233.0,53.0,,15401.0,Python Backtesting library for trading strategies.,56.0,28,False,,,157.0,backtrader,,,,,2629.0,2555.0,https://pypi.org/project/backtrader,2023-04-19 14:15:00.742,74.0,44870.0,44870.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +355,Dopamine,google/dopamine,reinforcement-learning,,https://github.com/google/dopamine,https://github.com/google/dopamine,Apache-2.0,2018-07-26 09:58:36.000,2024-11-04 14:34:30.000000,2024-11-04 14:34:28,348.0,6.0,1377.0,424.0,51.0,105.0,88.0,10602.0,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.,15.0,28,True,2024-10-31 13:26:46.000,4.1.2,50.0,dopamine-rl,,,,['tensorflow'],31.0,21.0,https://pypi.org/project/dopamine-rl,2024-10-31 13:26:46.000,10.0,20119.0,20119.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +356,pysc2,deepmind/pysc2,others,,https://github.com/google-deepmind/pysc2,https://github.com/google-deepmind/pysc2,Apache-2.0,2017-07-25 18:16:57.000,2024-07-23 16:54:42.000000,2023-04-19 16:47:52,581.0,,1146.0,347.0,81.0,51.0,231.0,8047.0,StarCraft II Learning Environment.,39.0,28,False,2022-07-13 12:08:43.000,4.0,8.0,pysc2,,,,,899.0,873.0,https://pypi.org/project/pysc2,2022-07-13 12:02:04.256,26.0,2175.0,2537.0,,,,,,,,3.0,32241.0,,google-deepmind/pysc2,,,,,,,,,,,,,,,,, +357,NuPIC,numenta/nupic,ml-frameworks,,https://github.com/numenta/nupic-legacy,https://github.com/numenta/nupic-legacy,MIT,2013-04-05 23:14:27.000,2024-12-03 17:50:20.000000,2024-12-03 17:50:20,6627.0,1.0,1586.0,626.0,2112.0,453.0,1338.0,6336.0,"Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of..",124.0,28,True,2018-06-01 15:39:25.550,1.0.5,53.0,nupic,,,,,21.0,21.0,https://pypi.org/project/nupic,2016-09-01 21:30:21.000,,1468.0,1468.0,,,,,,,,3.0,14.0,,numenta/nupic-legacy,,,,,,,,,,,,,,,,, +358,pyAudioAnalysis,tyiannak/pyAudioAnalysis,audio,,https://github.com/tyiannak/pyAudioAnalysis,https://github.com/tyiannak/pyAudioAnalysis,Apache-2.0,2014-08-27 12:43:13.000,2024-03-31 17:27:35.000000,2023-10-22 09:33:23,779.0,,1196.0,209.0,93.0,201.0,123.0,5947.0,"Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications.",28.0,28,False,2022-02-07 22:36:53.000,0.3.14,23.0,pyAudioAnalysis,,,,,557.0,545.0,https://pypi.org/project/pyAudioAnalysis,2022-02-07 22:36:53.000,12.0,9690.0,9690.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +359,lightfm,lyst/lightfm,recommender-systems,,https://github.com/lyst/lightfm,https://github.com/lyst/lightfm,Apache-2.0,2015-07-30 08:34:00.000,2024-07-24 18:48:54.000000,2023-04-30 18:36:20,483.0,,686.0,87.0,209.0,157.0,358.0,4809.0,"A Python implementation of LightFM, a hybrid recommendation algorithm.",47.0,28,False,2023-03-20 04:08:46.000,1.17,15.0,lightfm,conda-forge/lightfm,,,,1671.0,1639.0,https://pypi.org/project/lightfm,2023-03-20 04:15:00.582,32.0,385705.0,388589.0,https://anaconda.org/conda-forge/lightfm,2023-06-16 16:08:40.466,242312.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +360,ArrayFire,arrayfire/arrayfire,gpu-utilities,,https://github.com/arrayfire/arrayfire,https://github.com/arrayfire/arrayfire,BSD-3-Clause,2014-10-28 20:58:33.000,2025-01-08 23:16:59.000000,2025-01-08 23:16:59,6188.0,14.0,530.0,147.0,1950.0,338.0,1397.0,4598.0,ArrayFire: a general purpose GPU library.,95.0,28,True,2023-08-29 19:49:26.000,3.9.0,34.0,arrayfire,,,,,10.0,,https://pypi.org/project/arrayfire,2022-02-22 21:42:15.000,10.0,2052.0,2118.0,,,,,,,,2.0,7669.0,,,,,,,,,,,,,,,,,,, +361,vaderSentiment,cjhutto/vaderSentiment,nlp,,https://github.com/cjhutto/vaderSentiment,https://github.com/cjhutto/vaderSentiment,MIT,2014-11-17 16:31:45.000,2024-12-30 18:30:47.586000,2022-04-01 13:57:36,131.0,,999.0,147.0,33.0,52.0,77.0,4544.0,VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based..,11.0,28,False,2020-05-22 15:07:00.000,3.3.2,15.0,vadersentiment,conda-forge/vadersentiment,,,,10170.0,10073.0,https://pypi.org/project/vadersentiment,2020-05-22 15:07:00.000,97.0,300561.0,300900.0,https://anaconda.org/conda-forge/vadersentiment,2024-12-30 18:30:47.586,15607.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +362,pytorch-summary,sksq96/pytorch-summary,pytorch-utils,,https://github.com/sksq96/pytorch-summary,https://github.com/sksq96/pytorch-summary,MIT,2018-04-23 13:58:04.000,2024-03-02 15:10:25.000000,2021-05-10 18:34:53,57.0,,413.0,37.0,57.0,138.0,45.0,4023.0,Model summary in PyTorch similar to `model.summary()` in Keras.,11.0,28,False,2018-09-26 05:07:28.000,1.5.1,12.0,torchsummary,,,,['pytorch'],18051.0,17916.0,https://pypi.org/project/torchsummary,2018-09-26 05:07:28.000,135.0,164927.0,164927.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +363,Lasagne,Lasagne/Lasagne,ml-frameworks,,https://github.com/Lasagne/Lasagne,https://github.com/Lasagne/Lasagne,MIT,2014-09-11 15:31:41.000,2022-03-26 02:58:32.000000,2019-11-20 20:28:30,1161.0,,949.0,217.0,408.0,139.0,402.0,3850.0,Lightweight library to build and train neural networks in Theano.,72.0,28,False,2015-08-13 21:00:09.000,0.1,2.0,lasagne,,,,,1083.0,1071.0,https://pypi.org/project/lasagne,2015-08-13 21:10:53.000,12.0,1488.0,1488.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +364,LIT,PAIR-code/lit,interpretability,,https://github.com/PAIR-code/lit,https://github.com/PAIR-code/lit,Apache-2.0,2020-07-28 13:07:26.000,2024-12-20 21:57:28.000000,2024-12-20 21:19:02,1587.0,23.0,357.0,69.0,1459.0,118.0,88.0,3507.0,The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and..,38.0,28,True,2024-12-20 21:57:28.000,1.3.1,20.0,lit-nlp,conda-forge/lit-nlp,,,,45.0,42.0,https://pypi.org/project/lit-nlp,2024-12-20 21:27:54.000,3.0,3706.0,5662.0,https://anaconda.org/conda-forge/lit-nlp,2023-06-16 19:21:41.530,101712.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +365,Catalyst,catalyst-team/catalyst,ml-experiments,,https://github.com/catalyst-team/catalyst,https://github.com/catalyst-team/catalyst,Apache-2.0,2018-08-20 07:56:13.000,2024-03-20 16:17:12.000000,2022-04-29 04:19:24,1698.0,,390.0,46.0,1086.0,4.0,353.0,3312.0,Accelerated deep learning R&D.,104.0,28,False,2022-04-29 04:45:11.000,22.04,108.0,catalyst,,,,['pytorch'],1256.0,1226.0,https://pypi.org/project/catalyst,2022-04-29 04:46:04.000,30.0,30229.0,30229.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +366,fastNLP,fastnlp/fastNLP,nlp,,https://github.com/fastnlp/fastNLP,https://github.com/fastnlp/fastNLP,Apache-2.0,2018-03-07 13:30:20.000,2023-06-05 03:00:37.000000,2022-12-13 03:52:09,2484.0,,450.0,82.0,245.0,69.0,155.0,3082.0,fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.,61.0,28,False,2022-10-31 14:47:34.183,1.0.1,24.0,fastnlp,,,,,216.0,213.0,https://pypi.org/project/fastnlp,2022-10-31 14:47:34.183,3.0,25429.0,25430.0,,,,,,,,2.0,94.0,,,,,,,,,,,,,,,,,,, +367,Cufflinks,santosjorge/cufflinks,data-viz,,https://github.com/santosjorge/cufflinks,https://github.com/santosjorge/cufflinks,MIT,2014-11-19 20:59:33.000,2024-07-03 14:15:42.000000,2021-02-25 05:05:09,452.0,,676.0,108.0,74.0,102.0,123.0,3041.0,Productivity Tools for Plotly + Pandas.,39.0,28,False,2020-03-01 17:42:01.000,0.17.3,28.0,cufflinks,,,,['pandas'],12909.0,12800.0,https://pypi.org/project/cufflinks,2020-03-01 17:42:01.000,109.0,49084.0,49084.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +368,dtreeviz,parrt/dtreeviz,interpretability,,https://github.com/parrt/dtreeviz,https://github.com/parrt/dtreeviz,MIT,2018-08-13 21:45:15.000,2024-08-29 16:58:41.000000,2024-08-29 16:58:41,621.0,,335.0,46.0,121.0,72.0,137.0,2999.0,A python library for decision tree visualization and model interpretation.,27.0,28,True,2023-07-13 17:23:01.507,2.2.2,41.0,dtreeviz,conda-forge/dtreeviz,,,,1450.0,1397.0,https://pypi.org/project/dtreeviz,2022-07-07 17:18:00.886,53.0,97044.0,98905.0,https://anaconda.org/conda-forge/dtreeviz,2023-07-13 20:18:43.899,93053.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +369,Neural Network Libraries,sony/nnabla,ml-frameworks,,https://github.com/sony/nnabla,https://github.com/sony/nnabla,Apache-2.0,2017-06-26 01:07:10.000,2024-11-15 23:43:58.000000,2024-11-15 23:43:54,3557.0,4.0,334.0,154.0,1184.0,35.0,60.0,2734.0,Neural Network Libraries.,76.0,28,True,2024-05-29 05:14:17.000,1.39.0,79.0,nnabla,,,,,44.0,,https://pypi.org/project/nnabla,2024-05-29 02:51:02.000,44.0,8210.0,8221.0,,,,,,,,3.0,1018.0,,,,,,,,,,,,,,,,,,, +370,langid,saffsd/langid.py,nlp,,https://github.com/saffsd/langid.py,https://github.com/saffsd/langid.py,BSD-3-Clause,2011-04-29 00:16:56.000,2020-01-01 10:49:30.000000,2017-07-15 02:49:17,242.0,,315.0,65.0,15.0,28.0,47.0,2340.0,Stand-alone language identification system.,9.0,28,False,2016-04-05 22:34:15.000,1.1.6,8.0,langid,,,,,12157.0,12002.0,https://pypi.org/project/langid,2016-04-05 22:34:15.000,155.0,353648.0,353648.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +371,mtcnn,ipazc/mtcnn,image,,https://github.com/ipazc/mtcnn,https://github.com/ipazc/mtcnn,MIT,2018-01-05 04:08:32.000,2024-10-08 16:09:34.000000,2024-10-08 16:09:34,62.0,,526.0,43.0,29.0,49.0,81.0,2273.0,"MTCNN face detection implementation for TensorFlow, as a PIP package.",16.0,28,True,2024-10-08 01:42:18.000,1.0.0,12.0,mtcnn,conda-forge/mtcnn,,,['tensorflow'],6983.0,6910.0,https://pypi.org/project/mtcnn,2024-10-08 01:42:18.000,73.0,135571.0,135816.0,https://anaconda.org/conda-forge/mtcnn,2023-06-16 19:18:00.316,14003.0,,,,,3.0,25.0,,,,,,,,,,,,,,,,,,, +372,modAL,modAL-python/modAL,others,,https://github.com/modAL-python/modAL,https://github.com/modAL-python/modAL,MIT,2017-11-14 14:01:15.000,2025-01-09 10:41:50.000000,2023-06-01 12:18:23,739.0,,320.0,45.0,44.0,99.0,56.0,2246.0,A modular active learning framework for Python.,20.0,28,False,2025-01-08 23:13:56.000,0.71.11,1593.0,modAL,,,,['sklearn'],75.0,,https://pypi.org/project/modAL,2025-01-09 10:41:50.000,75.0,549709.0,549709.0,,,,,,,,3.0,46.0,,,,,,,,,,,,,,,,,,, +373,Labml,labmlai/labml,ml-experiments,,https://github.com/labmlai/labml,https://github.com/labmlai/labml,MIT,2018-11-16 09:34:48.000,2025-01-08 19:42:02.000000,2025-01-08 19:41:55,2318.0,58.0,135.0,30.0,272.0,5.0,43.0,2087.0,Monitor deep learning model training and hardware usage from your mobile phone.,9.0,28,True,2024-09-15 02:15:00.000,0.5.3,147.0,labml,,,,,210.0,196.0,https://pypi.org/project/labml,2024-09-15 02:15:00.000,14.0,5675.0,5675.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +374,ffn,pmorissette/ffn,financial-data,,https://github.com/pmorissette/ffn,https://github.com/pmorissette/ffn,MIT,2014-06-19 15:54:09.000,2024-12-31 14:50:49.608000,2024-12-01 14:51:07,495.0,8.0,300.0,68.0,127.0,23.0,107.0,2079.0,ffn - a financial function library for Python.,35.0,28,True,2024-11-02 20:02:17.000,1.1.1,38.0,ffn,conda-forge/ffn,,,,529.0,511.0,https://pypi.org/project/ffn,2024-11-02 20:01:43.000,18.0,16286.0,16604.0,https://anaconda.org/conda-forge/ffn,2024-12-31 14:50:49.608,14334.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +375,ogb,snap-stanford/ogb,graph,,https://github.com/snap-stanford/ogb,https://github.com/snap-stanford/ogb,MIT,2019-11-22 22:13:57.000,2024-12-22 18:27:31.714000,2024-12-09 19:08:18,677.0,2.0,400.0,42.0,64.0,30.0,273.0,1968.0,"Benchmark datasets, data loaders, and evaluators for graph machine learning.",32.0,28,True,2023-04-07 06:00:55.135,1.3.6,19.0,ogb,conda-forge/ogb,,,,2199.0,2177.0,https://pypi.org/project/ogb,2022-11-02 22:00:56.960,22.0,31501.0,32357.0,https://anaconda.org/conda-forge/ogb,2024-12-22 18:27:31.714,44512.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +376,petastorm,uber/petastorm,distributed-ml,,https://github.com/uber/petastorm,https://github.com/uber/petastorm,Apache-2.0,2018-06-15 23:15:29.000,2023-12-02 05:11:31.000000,2023-12-02 05:11:31,691.0,,279.0,40.0,495.0,172.0,151.0,1809.0,Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets..,50.0,28,False,2022-12-16 20:54:02.878,0.12.1,86.0,petastorm,,,,,199.0,191.0,https://pypi.org/project/petastorm,2023-02-03 00:33:00.499,8.0,162092.0,162099.0,,,,,,,,2.0,554.0,,,,,,,,,,,,,,,,,,, +377,avalanche,ContinualAI/avalanche,others,,https://github.com/ContinualAI/avalanche,https://github.com/ContinualAI/avalanche,MIT,2020-03-05 11:32:13.000,2024-10-29 10:43:38.000000,2024-10-29 10:43:38,3929.0,17.0,293.0,30.0,581.0,102.0,722.0,1809.0,Avalanche: an End-to-End Library for Continual Learning based on PyTorch.,80.0,28,True,2024-10-29 08:53:47.000,0.6.0,9.0,avalanche-lib,,,,,120.0,117.0,https://pypi.org/project/avalanche-lib,2024-10-29 08:52:52.000,3.0,1185.0,1185.0,,,,,,,,3.0,45.0,,,,,,,,,,,,,,,,,,, +378,ViZDoom,mwydmuch/ViZDoom,reinforcement-learning,,https://github.com/Farama-Foundation/ViZDoom,https://github.com/Farama-Foundation/ViZDoom,MIT,2015-06-26 18:38:23.000,2024-09-08 19:48:30.000000,2024-09-08 00:19:34,1851.0,,391.0,50.0,136.0,30.0,435.0,1764.0,Reinforcement Learning environments based on the 1993 game Doom.,55.0,28,True,2024-08-20 10:48:59.000,1.2.4,30.0,vizdoom,,,,,304.0,289.0,https://pypi.org/project/vizdoom,2024-08-20 10:48:59.000,15.0,4336.0,4450.0,,,,,,,,2.0,12138.0,,Farama-Foundation/ViZDoom,,,,,,,,,,,,,,,,, +379,lightning-flash,Lightning-AI/lightning-flash,pytorch-utils,,https://github.com/Lightning-Universe/lightning-flash,https://github.com/Lightning-Universe/lightning-flash,Apache-2.0,2021-01-28 18:47:16.000,2025-01-05 07:18:55.544000,2023-10-08 14:28:43,1157.0,,213.0,38.0,1081.0,25.0,496.0,1747.0,Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7..,87.0,28,False,2023-06-30 13:37:19.283,0.8.2,40.0,lightning-flash,conda-forge/lightning-flash,,,['pytorch'],310.0,305.0,https://pypi.org/project/lightning-flash,2022-05-11 18:17:54.000,5.0,1970.0,2578.0,https://anaconda.org/conda-forge/lightning-flash,2025-01-05 07:18:55.544,24952.0,,,,,2.0,,,Lightning-Universe/lightning-flash,,,,,,,,,,,,,,,,, +380,Submit it,facebookincubator/submitit,distributed-ml,,https://github.com/facebookincubator/submitit,https://github.com/facebookincubator/submitit,MIT,2020-04-24 07:41:09.000,2024-11-19 00:49:33.596000,2024-09-18 16:03:14,147.0,,130.0,24.0,111.0,51.0,79.0,1354.0,Python 3.8+ toolbox for submitting jobs to Slurm.,25.0,28,True,2024-09-18 16:05:09.000,1.5.2,24.0,submitit,conda-forge/submitit,,,,3811.0,3762.0,https://pypi.org/project/submitit,2024-09-18 16:05:09.000,49.0,343830.0,344689.0,https://anaconda.org/conda-forge/submitit,2024-11-19 00:49:33.596,45549.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +381,PySAL,pysal/pysal,geospatial-data,,https://github.com/pysal/pysal,https://github.com/pysal/pysal,BSD-3-Clause,2013-02-19 17:27:42.000,2024-12-23 13:20:05.726000,2024-11-18 14:47:37,4368.0,2.0,302.0,79.0,672.0,18.0,634.0,1353.0,PySAL: Python Spatial Analysis Library Meta-Package.,79.0,28,True,2024-07-30 17:42:50.000,24.07,41.0,pysal,conda-forge/pysal,,,,1762.0,1713.0,https://pypi.org/project/pysal,2024-07-30 17:42:53.000,49.0,27245.0,38278.0,https://anaconda.org/conda-forge/pysal,2024-12-23 13:20:05.726,595827.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +382,livelossplot,stared/livelossplot,ml-experiments,,https://github.com/stared/livelossplot,https://github.com/stared/livelossplot,MIT,2018-03-10 17:51:43.000,2025-01-03 19:07:39.000000,2025-01-03 19:07:34,348.0,18.0,141.0,28.0,66.0,6.0,73.0,1300.0,"Live training loss plot in Jupyter Notebook for Keras, PyTorch and others.",17.0,28,True,2025-01-03 15:28:53.000,0.5.6,26.0,livelossplot,,,,['jupyter'],1770.0,1754.0,https://pypi.org/project/livelossplot,2025-01-03 15:28:53.000,16.0,13418.0,13418.0,,,,,,,,3.0,,3.0,,,,,,,,,,,,,,,,,, +383,scikit-lego,koaning/scikit-lego,sklearn-utils,,https://github.com/koaning/scikit-lego,https://github.com/koaning/scikit-lego,MIT,2019-01-21 15:30:15.000,2024-12-30 11:26:00.000000,2024-12-30 11:25:57,549.0,13.0,118.0,22.0,402.0,40.0,292.0,1292.0,Extra blocks for scikit-learn pipelines.,68.0,28,True,2024-12-17 12:12:51.000,0.9.4,55.0,scikit-lego,conda-forge/scikit-lego,,,['sklearn'],183.0,170.0,https://pypi.org/project/scikit-lego,2024-12-17 12:10:04.000,13.0,22327.0,23413.0,https://anaconda.org/conda-forge/scikit-lego,2024-07-10 21:13:14.463,60849.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +384,kmodes,nicodv/kmodes,others,,https://github.com/nicodv/kmodes,https://github.com/nicodv/kmodes,MIT,2013-08-01 11:54:40.000,2024-06-19 19:59:13.000000,2024-01-17 21:03:09,532.0,,416.0,52.0,41.0,17.0,139.0,1248.0,"Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data.",22.0,28,True,2022-09-06 19:52:23.000,0.12.2,17.0,kmodes,conda-forge/kmodes,,,,2969.0,2931.0,https://pypi.org/project/kmodes,2022-09-06 19:38:02.764,38.0,220156.0,221086.0,https://anaconda.org/conda-forge/kmodes,2023-06-16 19:18:39.600,53063.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +385,pyclustering,annoviko/pyclustering,others,,https://github.com/annoviko/pyclustering,https://github.com/annoviko/pyclustering,BSD-3-Clause,2014-02-25 18:59:03.000,2024-11-08 16:30:13.279000,2024-02-08 16:58:25,2080.0,,250.0,41.0,39.0,76.0,591.0,1179.0,"pyclustering is a Python, C++ data mining library.",26.0,28,True,2020-11-25 22:33:07.000,0.10.1.2,46.0,pyclustering,conda-forge/pyclustering,,,,817.0,785.0,https://pypi.org/project/pyclustering,2020-11-25 22:41:20.000,32.0,29634.0,31524.0,https://anaconda.org/conda-forge/pyclustering,2024-11-08 16:30:13.279,101754.0,,,,,3.0,654.0,,,,,,,,,,,,,,,,,,, +386,bambi,bambinos/bambi,probabilistics,,https://github.com/bambinos/bambi,https://github.com/bambinos/bambi,MIT,2016-05-16 03:21:00.000,2024-12-26 16:09:27.000000,2024-12-26 16:07:56,834.0,11.0,127.0,30.0,434.0,81.0,344.0,1112.0,BAyesian Model-Building Interface (Bambi) in Python.,45.0,28,True,2024-12-21 18:08:46.000,0.15.0,30.0,bambi,conda-forge/bambi,,,,180.0,166.0,https://pypi.org/project/bambi,2024-12-21 18:08:46.000,14.0,21415.0,22269.0,https://anaconda.org/conda-forge/bambi,2024-12-23 13:13:40.970,41873.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +387,dask-ml,dask/dask-ml,distributed-ml,,https://github.com/dask/dask-ml,https://github.com/dask/dask-ml,BSD-3-Clause,2017-06-15 15:56:06.000,2024-11-25 14:12:15.000000,2024-11-25 14:09:30,820.0,1.0,256.0,40.0,514.0,282.0,258.0,910.0,Scalable Machine Learning with Dask.,80.0,28,True,2024-04-02 02:33:18.000,2024.4.4,37.0,dask-ml,conda-forge/dask-ml,,,,1268.0,1175.0,https://pypi.org/project/dask-ml,2024-04-02 02:33:18.000,93.0,112285.0,128921.0,https://anaconda.org/conda-forge/dask-ml,2024-06-17 15:22:39.176,931643.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +388,Cornac,PreferredAI/cornac,recommender-systems,,https://github.com/PreferredAI/cornac,https://github.com/PreferredAI/cornac,Apache-2.0,2018-07-17 06:31:35.000,2024-12-24 18:09:00.000000,2024-12-24 18:02:36,1380.0,12.0,146.0,26.0,493.0,24.0,139.0,904.0,A Comparative Framework for Multimodal Recommender Systems.,22.0,28,True,2024-12-24 18:14:45.000,2.3.0,60.0,cornac,conda-forge/cornac,,,,276.0,258.0,https://pypi.org/project/cornac,2024-12-24 07:20:48.000,18.0,38225.0,49962.0,https://anaconda.org/conda-forge/cornac,2024-12-24 16:50:48.705,645542.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +389,CLTK,cltk/cltk,nlp,,https://github.com/cltk/cltk,https://github.com/cltk/cltk,MIT,2014-01-11 23:59:47.000,2024-12-01 02:04:06.000000,2024-12-01 02:03:32,3719.0,4.0,330.0,65.0,691.0,39.0,536.0,843.0,The Classical Language Toolkit.,121.0,28,True,2024-12-01 02:04:06.000,1.4.0,218.0,cltk,,,,,301.0,284.0,https://pypi.org/project/cltk,2024-12-01 02:04:06.000,17.0,5655.0,5655.0,,,,,,,,2.0,109.0,,,,,,,,,,,,,,,,,,, +390,Ciphey,Ciphey/Ciphey,nlp,,https://github.com/Ciphey/Ciphey,https://github.com/Ciphey/Ciphey,MIT,2019-07-16 20:20:39.000,2024-03-26 06:01:50.000000,2023-10-12 07:20:40,1894.0,,1159.0,239.0,458.0,75.0,265.0,18502.0,"Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes.",48.0,27,False,2021-06-06 17:15:00.281,5.14.0,50.0,ciphey,,remnux/ciphey,,,,,https://pypi.org/project/ciphey,2021-06-06 17:15:00.281,,24380.0,24794.0,,,,https://hub.docker.com/r/remnux/ciphey,2023-10-14 18:53:31.974373,17.0,27371.0,3.0,,,,,,,,,,,,,,,,,,,, +391,english-words,dwyl/english-words,nlp,,https://github.com/dwyl/english-words,https://github.com/dwyl/english-words,Unlicense,2014-07-13 22:20:45.000,2025-01-06 17:34:06.000000,2025-01-06 17:34:05,104.0,4.0,1840.0,211.0,76.0,113.0,41.0,10856.0,A text file containing 479k English words for all your dictionary/word-based projects e.g: auto-completion /..,34.0,27,True,2023-05-24 15:11:00.531,2.0.1,9.0,english-words,,,,,16.0,2.0,https://pypi.org/project/english-words,2023-05-24 15:11:00.531,14.0,26264.0,26264.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +392,Trax,google/trax,others,,https://github.com/google/trax,https://github.com/google/trax,Apache-2.0,2019-10-05 15:09:14.000,2025-01-08 00:24:30.000000,2025-01-08 00:24:23,1627.0,1.0,814.0,140.0,1574.0,122.0,125.0,8129.0,Trax Deep Learning with Clear Code and Speed.,80.0,27,True,2021-10-26 20:29:38.000,1.4.1,24.0,trax,,,,,199.0,198.0,https://pypi.org/project/trax,2021-10-26 20:29:00.538,1.0,3884.0,3884.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +393,EfficientNet-PyTorch,lukemelas/EfficientNet-PyTorch,pytorch-utils,,https://github.com/lukemelas/EfficientNet-PyTorch,https://github.com/lukemelas/EfficientNet-PyTorch,Apache-2.0,2019-05-30 05:24:11.000,2022-04-08 12:30:25.000000,2021-04-15 15:16:36,162.0,,1529.0,133.0,51.0,163.0,141.0,7998.0,A PyTorch implementation of EfficientNet.,24.0,27,False,2021-04-15 15:17:23.000,0.7.1,13.0,efficientnet-pytorch,,,,['pytorch'],73.0,1.0,https://pypi.org/project/efficientnet-pytorch,2021-04-15 15:17:23.000,72.0,215813.0,292059.0,,,,,,,,2.0,4422286.0,,,,,,,,,,,,,,,,,,, +394,Facets Overview,pair-code/facets,data-viz,,https://github.com/PAIR-code/facets,https://github.com/PAIR-code/facets,Apache-2.0,2017-07-07 14:03:03.000,2023-05-24 15:58:01.158000,2023-05-24 15:56:22,277.0,,886.0,268.0,98.0,82.0,81.0,7358.0,Visualizations for machine learning datasets.,31.0,27,False,2023-05-24 15:58:01.158,1.1.1,9.0,facets-overview,,,,['jupyter'],294.0,286.0,https://pypi.org/project/facets-overview,2023-05-24 15:58:01.158,8.0,48706.0,48706.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +395,TensorLayer,tensorlayer/tensorlayer,reinforcement-learning,,https://github.com/tensorlayer/TensorLayer,https://github.com/tensorlayer/TensorLayer,Apache-2.0,2016-06-07 15:55:16.000,2023-12-02 01:27:38.759000,2023-02-18 07:58:21,3353.0,,1610.0,458.0,699.0,36.0,441.0,7339.0,Deep Learning and Reinforcement Learning Library for Scientists and Engineers.,136.0,27,False,2022-02-15 02:05:47.000,2.2.5,84.0,tensorlayer,,,,['tensorflow'],11.0,,https://pypi.org/project/tensorlayer,2022-02-15 02:05:47.000,11.0,2061.0,2086.0,,,,,,,,2.0,2570.0,,,,,,,,,,,,,,,,,,, +396,Face Alignment,1adrianb/face-alignment,image,,https://github.com/1adrianb/face-alignment,https://github.com/1adrianb/face-alignment,BSD-3-Clause,2017-09-15 20:32:44.000,2024-08-30 14:19:26.000000,2024-08-30 14:19:23,221.0,,1350.0,174.0,46.0,80.0,242.0,7169.0,2D and 3D Face alignment library build using pytorch.,26.0,27,True,2023-08-17 14:43:11.000,1.4.1,14.0,face-alignment,,,,['pytorch'],31.0,21.0,https://pypi.org/project/face-alignment,2023-08-17 14:43:11.000,10.0,40631.0,40631.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +397,snownlp,isnowfy/snownlp,chinese-nlp,,https://github.com/isnowfy/snownlp,https://github.com/isnowfy/snownlp,MIT,2013-11-26 11:46:56.000,2020-01-19 02:39:05.000000,2020-01-19 02:39:03,57.0,,1359.0,351.0,14.0,42.0,66.0,6465.0,Python library for processing Chinese text.,8.0,27,False,2015-09-27 16:35:23.000,0.12.3,17.0,snownlp,,,,,1539.0,1531.0,https://pypi.org/project/snownlp,2015-09-27 16:35:23.000,8.0,34323.0,34323.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +398,scikit-surprise,NicolasHug/Surprise,recommender-systems,,https://github.com/NicolasHug/Surprise,https://github.com/NicolasHug/Surprise,BSD-3-Clause,2016-10-23 14:59:38.000,2024-06-16 11:25:37.000000,2024-06-14 19:31:58,659.0,,1016.0,144.0,100.0,87.0,310.0,6458.0,A Python scikit for building and analyzing recommender systems.,46.0,27,True,2024-05-19 14:25:59.000,1.1.4,12.0,scikit-surprise,conda-forge/scikit-surprise,,,,58.0,21.0,https://pypi.org/project/scikit-surprise,2024-05-19 14:25:59.000,37.0,152561.0,160751.0,https://anaconda.org/conda-forge/scikit-surprise,2024-05-20 10:08:43.793,442294.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +399,keras-rl,keras-rl/keras-rl,reinforcement-learning,,https://github.com/keras-rl/keras-rl,https://github.com/keras-rl/keras-rl,MIT,2016-07-02 15:53:12.000,2023-09-17 12:33:41.000000,2019-11-11 22:14:54,308.0,,1364.0,200.0,158.0,49.0,227.0,5532.0,Deep Reinforcement Learning for Keras.,41.0,27,False,2018-06-01 07:52:24.000,0.4.2,8.0,keras-rl,,,,['tensorflow'],803.0,797.0,https://pypi.org/project/keras-rl,2018-06-01 07:52:24.000,6.0,959.0,959.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +400,layout-parser,Layout-Parser/layout-parser,image,,https://github.com/Layout-Parser/layout-parser,https://github.com/Layout-Parser/layout-parser,Apache-2.0,2020-06-10 20:22:54.000,2024-08-15 06:26:34.000000,2022-08-06 21:47:18,182.0,,474.0,74.0,63.0,112.0,57.0,5008.0,A Unified Toolkit for Deep Learning Based Document Image Analysis.,8.0,27,False,2022-04-06 04:38:09.000,0.3.4,11.0,layoutparser,,,,,3606.0,3584.0,https://pypi.org/project/layoutparser,2022-04-06 04:38:09.000,22.0,383420.0,383420.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +401,Edward,blei-lab/edward,probabilistics,,https://github.com/blei-lab/edward,https://github.com/blei-lab/edward,Apache-2.0,2016-02-10 20:06:05.000,2024-03-18 16:23:03.000000,2018-07-25 01:28:08,1796.0,,780.0,272.0,438.0,221.0,329.0,4828.0,"A probabilistic programming language in TensorFlow. Deep generative models, variational inference.",87.0,27,False,2018-01-22 06:03:37.000,1.3.5,28.0,edward,,,,['tensorflow'],335.0,333.0,https://pypi.org/project/edward,2018-01-22 06:03:05.000,2.0,1071.0,1071.0,,,,,,,,3.0,25.0,,,,,,,,,,,,,,,,,,, +402,facenet-pytorch,timesler/facenet-pytorch,image,,https://github.com/timesler/facenet-pytorch,https://github.com/timesler/facenet-pytorch,MIT,2019-05-25 01:29:24.000,2024-08-02 08:16:49.000000,2024-08-02 08:16:49,252.0,,945.0,54.0,57.0,77.0,108.0,4646.0,Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models.,18.0,27,True,2024-04-29 17:50:14.000,2.6.0,33.0,facenet-pytorch,,,,['pytorch'],2690.0,2639.0,https://pypi.org/project/facenet-pytorch,2024-04-29 17:50:14.000,51.0,64704.0,88931.0,,,,,,,,3.0,1502087.0,,,,,,,,,,,,,,,,,,, +403,MMOCR,open-mmlab/mmocr,ocr,,https://github.com/open-mmlab/mmocr,https://github.com/open-mmlab/mmocr,Apache-2.0,2021-04-07 13:40:21.000,2024-11-27 09:38:10.000000,2024-11-27 09:38:09,1139.0,1.0,748.0,60.0,1015.0,187.0,742.0,4406.0,"OpenMMLab Text Detection, Recognition and Understanding Toolbox.",90.0,27,True,2023-07-04 07:12:41.567,1.0.1,20.0,mmocr,,,,['pytorch'],193.0,189.0,https://pypi.org/project/mmocr,2022-05-05 14:21:18.000,4.0,3565.0,3565.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +404,yellowbrick,DistrictDataLabs/yellowbrick,interpretability,,https://github.com/DistrictDataLabs/yellowbrick,https://github.com/DistrictDataLabs/yellowbrick,Apache-2.0,2016-05-18 14:12:17.000,2025-01-02 09:53:39.149000,2023-07-05 18:14:28,901.0,,560.0,103.0,619.0,99.0,608.0,4304.0,Visual analysis and diagnostic tools to facilitate machine learning model selection.,113.0,27,False,2022-08-21 12:49:43.000,1.5,24.0,yellowbrick,conda-forge/yellowbrick,,,['sklearn'],105.0,,https://pypi.org/project/yellowbrick,2022-08-21 16:11:55.287,105.0,383770.0,385420.0,https://anaconda.org/conda-forge/yellowbrick,2025-01-02 09:53:39.149,87477.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +405,Opik,comet-ml/opik,nlp,,https://github.com/comet-ml/opik,https://github.com/comet-ml/opik,Apache-2.0,2023-05-10 12:57:13.000,2025-01-09 13:36:45.000000,2025-01-08 17:29:21,767.0,530.0,238.0,47.0,881.0,30.0,91.0,4112.0,"From RAG chatbots to code assistants to complex agentic pipelines and beyond, build LLM systems that run better,..",30.0,27,True,2025-01-08 16:27:46.000,1.3.4,81.0,opik,,,,,2.0,,https://pypi.org/project/opik,2025-01-08 16:28:10.000,2.0,13163.0,13163.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +406,NeuralProphet,ourownstory/neural_prophet,time-series-data,,https://github.com/ourownstory/neural_prophet,https://github.com/ourownstory/neural_prophet,MIT,2020-05-04 05:12:43.000,2025-01-08 20:48:50.000000,2024-09-13 01:42:25,1464.0,,480.0,58.0,829.0,60.0,498.0,3931.0,NeuralProphet: A simple forecasting package.,56.0,27,True,2024-06-21 07:42:22.000,0.9.0,36.0,neuralprophet,,,,['pytorch'],8.0,,https://pypi.org/project/neuralprophet,2024-06-26 23:51:51.000,8.0,67118.0,67118.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +407,DeepKE,zjunlp/deepke,nlp,,https://github.com/zjunlp/DeepKE,https://github.com/zjunlp/DeepKE,MIT,2018-08-01 01:54:52.000,2025-01-04 03:04:05.000000,2025-01-04 03:04:05,1692.0,23.0,691.0,46.0,35.0,7.0,582.0,3674.0,[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction.,33.0,27,True,2023-09-21 04:12:03.000,2.2.7,111.0,deepke,,,,['pytorch'],24.0,24.0,https://pypi.org/project/deepke,2023-09-21 04:12:03.000,,1992.0,1992.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +408,Acme,deepmind/acme,reinforcement-learning,,https://github.com/google-deepmind/acme,https://github.com/google-deepmind/acme,Apache-2.0,2020-05-01 09:18:12.000,2025-01-04 15:21:52.213000,2024-10-30 15:05:16,1206.0,1.0,432.0,83.0,55.0,63.0,204.0,3561.0,A library of reinforcement learning components and agents.,86.0,27,True,2022-02-10 06:52:27.000,0.4.0,15.0,dm-acme,conda-forge/dm-acme,,,['tensorflow'],229.0,226.0,https://pypi.org/project/dm-acme,2022-02-10 06:52:27.000,3.0,1155.0,1372.0,https://anaconda.org/conda-forge/dm-acme,2025-01-04 15:21:52.213,10869.0,,,,,2.0,,,google-deepmind/acme,,,,,,,,,,,,,,,,, +409,Alphalens,quantopian/alphalens,financial-data,,https://github.com/quantopian/alphalens,https://github.com/quantopian/alphalens,Apache-2.0,2016-06-03 21:49:15.000,2024-02-12 06:44:22.000000,2020-04-27 18:40:41,522.0,,1153.0,167.0,215.0,49.0,146.0,3473.0,Performance analysis of predictive (alpha) stock factors.,26.0,27,False,2020-04-30 15:42:52.000,0.4.0,10.0,alphalens,conda-forge/alphalens,,,,728.0,723.0,https://pypi.org/project/alphalens,2020-04-27 21:03:10.000,5.0,1218.0,1494.0,https://anaconda.org/conda-forge/alphalens,2023-06-16 16:09:06.563,22926.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +410,vidgear,abhiTronix/vidgear,image,,https://github.com/abhiTronix/vidgear,https://github.com/abhiTronix/vidgear,Apache-2.0,2019-03-17 02:42:42.000,2024-08-11 08:09:18.000000,2024-06-22 17:36:10,1146.0,,255.0,63.0,121.0,7.0,293.0,3422.0,A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features.,14.0,27,True,2024-06-22 19:12:02.000,0.3.3,23.0,vidgear,,,,,675.0,660.0,https://pypi.org/project/vidgear,2024-06-22 19:12:02.000,15.0,14130.0,14159.0,,,,,,,,3.0,2075.0,,,,,,,,,,,,,,,,,,, +411,pomegranate,jmschrei/pomegranate,probabilistics,,https://github.com/jmschrei/pomegranate,https://github.com/jmschrei/pomegranate,MIT,2014-11-24 18:36:58.000,2025-01-08 20:53:32.000000,2024-10-18 19:27:15,995.0,2.0,590.0,95.0,340.0,23.0,761.0,3396.0,"Fast, flexible and easy to use probabilistic modelling in Python.",75.0,27,True,2024-10-18 19:28:12.000,1.1.1,77.0,pomegranate,conda-forge/pomegranate,,,,59.0,,https://pypi.org/project/pomegranate,2024-10-18 19:28:12.000,59.0,14975.0,18348.0,https://anaconda.org/conda-forge/pomegranate,2024-12-22 12:38:32.174,188921.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +412,aubio,aubio/aubio,audio,,https://github.com/aubio/aubio,https://github.com/aubio/aubio,GPL-3.0,2009-12-04 21:07:44.000,2024-08-03 07:04:44.000000,2024-01-02 20:16:48,4161.0,,376.0,86.0,66.0,158.0,189.0,3361.0,a library for audio and music analysis.,25.0,27,False,2019-02-27 09:00:43.000,0.4.9,10.0,aubio,conda-forge/aubio,,,,519.0,502.0,https://pypi.org/project/aubio,2019-02-08 11:21:02.000,17.0,6206.0,14270.0,https://anaconda.org/conda-forge/aubio,2023-06-16 13:24:40.255,758034.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +413,DeepVariant,google/deepvariant,medical-data,,https://github.com/google/deepvariant,https://github.com/google/deepvariant,BSD-3-Clause,2017-11-23 01:56:22.000,2024-12-09 23:31:50.000000,2024-12-09 23:29:52,2914.0,106.0,720.0,155.0,64.0,6.0,853.0,3283.0,DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA..,36.0,27,True,2024-12-04 19:30:00.000,1.8.0,22.0,,bioconda/deepvariant,,,['tensorflow'],,,,,,,921.0,https://anaconda.org/bioconda/deepvariant,2023-06-16 16:08:50.013,72738.0,,,,,3.0,4817.0,,,,,,,,,,,,,,,,,,, +414,pytorch-optimizer,jettify/pytorch-optimizer,pytorch-utils,,https://github.com/jettify/pytorch-optimizer,https://github.com/jettify/pytorch-optimizer,Apache-2.0,2020-01-03 03:16:39.000,2024-12-29 14:25:03.416000,2023-06-20 03:14:12,435.0,,300.0,33.0,477.0,54.0,30.0,3062.0,torch-optimizer -- collection of optimizers for Pytorch.,26.0,27,False,2021-10-31 03:00:19.000,0.3.0,21.0,torch_optimizer,conda-forge/torch-optimizer,,,['pytorch'],86.0,,https://pypi.org/project/torch_optimizer,2021-10-31 03:00:19.000,86.0,160948.0,161226.0,https://anaconda.org/conda-forge/torch-optimizer,2024-12-29 14:25:03.416,12525.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +415,TextAttack,QData/TextAttack,adversarial,,https://github.com/QData/TextAttack,https://github.com/QData/TextAttack,MIT,2019-10-15 00:51:44.000,2024-07-25 18:53:58.000000,2024-07-25 18:53:58,2707.0,,402.0,38.0,523.0,68.0,218.0,3035.0,"TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP..",66.0,27,True,2024-03-11 02:20:29.000,0.3.10,47.0,textattack,conda-forge/textattack,,,,345.0,334.0,https://pypi.org/project/textattack,2024-03-11 02:20:29.000,11.0,4575.0,4752.0,https://anaconda.org/conda-forge/textattack,2023-06-16 19:22:50.186,9250.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +416,StellarGraph,stellargraph/stellargraph,graph,,https://github.com/stellargraph/stellargraph,https://github.com/stellargraph/stellargraph,Apache-2.0,2018-04-13 07:35:51.000,2024-04-10 12:25:23.000000,2021-10-29 06:15:49,2535.0,,431.0,62.0,933.0,325.0,747.0,2963.0,StellarGraph - Machine Learning on Graphs.,40.0,27,False,2021-02-22 06:35:38.731,1.2.1,25.0,stellargraph,,,,['tensorflow'],300.0,289.0,https://pypi.org/project/stellargraph,2021-02-22 06:35:38.731,11.0,5002.0,5002.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +417,IB-insync,erdewit/ib_insync,financial-data,,https://github.com/erdewit/ib_insync,https://github.com/erdewit/ib_insync,BSD-2-Clause,2017-07-12 12:09:24.000,2024-03-14 19:50:06.000000,2024-03-14 19:50:06,769.0,,786.0,181.0,75.0,21.0,565.0,2896.0,Python sync/async framework for Interactive Brokers API.,36.0,27,True,2023-07-02 12:44:10.283,0.9.86,111.0,ib_insync,conda-forge/ib-insync,,,,44.0,,https://pypi.org/project/ib_insync,2022-11-21 09:32:01.715,44.0,35514.0,36293.0,https://anaconda.org/conda-forge/ib-insync,2023-06-16 16:16:07.159,51429.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +418,TF-Agents,tensorflow/agents,reinforcement-learning,,https://github.com/tensorflow/agents,https://github.com/tensorflow/agents,Apache-2.0,2018-11-17 00:29:12.000,2024-12-12 13:40:00.000000,2024-12-12 13:39:24,2308.0,2.0,722.0,80.0,206.0,200.0,469.0,2829.0,"TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.",152.0,27,True,2023-12-14 04:07:38.000,0.19.0,51.0,tf-agents,,,,['tensorflow'],14.0,,https://pypi.org/project/tf-agents,2023-12-14 04:07:38.000,14.0,30238.0,30238.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +419,Foolbox,bethgelab/foolbox,adversarial,,https://github.com/bethgelab/foolbox,https://github.com/bethgelab/foolbox,MIT,2017-06-14 13:05:48.000,2024-04-03 16:17:05.000000,2024-03-04 15:46:26,1711.0,,425.0,46.0,367.0,27.0,350.0,2811.0,"A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX.",35.0,27,True,2024-03-04 20:59:17.000,3.3.4,71.0,foolbox,conda-forge/foolbox,,,,673.0,659.0,https://pypi.org/project/foolbox,2024-03-04 20:59:17.000,14.0,4841.0,5139.0,https://anaconda.org/conda-forge/foolbox,2023-06-16 19:20:41.396,16126.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +420,knockknock,huggingface/knockknock,ml-experiments,,https://github.com/huggingface/knockknock,https://github.com/huggingface/knockknock,MIT,2019-03-20 13:08:55.000,2025-01-09 04:44:34.587000,2020-03-16 04:26:47,75.0,,226.0,64.0,42.0,18.0,24.0,2798.0,Knock Knock: Get notified when your training ends with only two additional lines of code.,20.0,27,False,2020-03-04 04:15:47.000,0.1.8,10.0,knockknock,conda-forge/knockknock,,,,1248.0,1243.0,https://pypi.org/project/knockknock,2020-03-16 14:30:23.000,5.0,46869.0,63934.0,https://anaconda.org/conda-forge/knockknock,2025-01-09 04:44:34.587,17065.0,,,,,3.0,,2.0,,,,,,,,,,,,,,,,,, +421,pygal,Kozea/pygal,graph,,https://github.com/Kozea/pygal,https://github.com/Kozea/pygal,LGPL-3.0,2011-09-23 10:17:50.000,2024-08-13 16:15:34.495000,2024-08-12 14:54:41,1058.0,,411.0,124.0,145.0,198.0,247.0,2680.0,PYthon svg GrAph plotting Library.,77.0,27,False,2024-08-12 14:55:21.000,3.0.5,81.0,pygal,conda-forge/pygal,,,,101.0,,https://pypi.org/project/pygal,2024-08-12 14:55:21.000,101.0,197462.0,200701.0,https://anaconda.org/conda-forge/pygal,2024-08-13 16:15:34.495,77739.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +422,EvaDB,georgia-tech-db/eva,ml-frameworks,,https://github.com/georgia-tech-db/evadb,https://github.com/georgia-tech-db/evadb,Apache-2.0,2018-09-10 02:26:03.000,2024-05-17 16:33:06.000000,2023-12-03 09:09:14,2415.0,,258.0,29.0,1132.0,78.0,224.0,2648.0,Database system for AI-powered apps.,72.0,27,False,2023-11-19 16:35:30.000,0.3.9,45.0,evadb,,,,['pytorch'],150.0,150.0,https://pypi.org/project/evadb,2023-11-19 16:35:24.000,,1058.0,14988.0,,,,,,,,3.0,417928.0,,georgia-tech-db/evadb,,,,,,,,,,,,,,,,, +423,adapter-transformers,Adapter-Hub/adapter-transformers,others,,https://github.com/adapter-hub/adapters,https://github.com/adapter-hub/adapters,Apache-2.0,2020-04-21 16:21:43.000,2025-01-08 17:29:24.000000,2025-01-08 17:29:24,156.0,16.0,346.0,29.0,346.0,43.0,353.0,2615.0,A Unified Library for Parameter-Efficient and Modular Transfer Learning.,15.0,27,True,2024-11-02 18:47:18.000,1.0.1,22.0,adapter-transformers,,,,['huggingface'],160.0,148.0,https://pypi.org/project/adapter-transformers,2024-07-07 11:49:43.000,12.0,4052.0,4052.0,,,,,,,,3.0,,,adapter-hub/adapters,,,,,,,,,,,,,,,,, +424,scikit-plot,reiinakano/scikit-plot,interpretability,,https://github.com/reiinakano/scikit-plot,https://github.com/reiinakano/scikit-plot,MIT,2017-02-04 06:22:59.000,2024-08-20 05:47:39.000000,2018-08-19 12:37:47,130.0,,284.0,64.0,61.0,31.0,39.0,2429.0,An intuitive library to add plotting functionality to scikit-learn objects.,13.0,27,False,2018-08-19 12:25:39.290,0.3.7,27.0,scikit-plot,conda-forge/scikit-plot,,,['sklearn'],5880.0,5795.0,https://pypi.org/project/scikit-plot,2018-08-19 12:25:39.290,85.0,378882.0,381022.0,https://anaconda.org/conda-forge/scikit-plot,2023-06-16 13:22:21.652,192607.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +425,Alibi,SeldonIO/alibi,interpretability,,https://github.com/SeldonIO/alibi,https://github.com/SeldonIO/alibi,Intel,2019-02-26 10:10:56.000,2024-12-16 00:39:00.000000,2024-12-06 11:28:50,668.0,5.0,252.0,56.0,674.0,151.0,225.0,2426.0,Algorithms for explaining machine learning models.,22.0,27,False,2024-04-18 15:30:25.000,0.9.6,34.0,alibi,,,,,725.0,700.0,https://pypi.org/project/alibi,2024-04-18 15:29:10.000,25.0,12854.0,12854.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +426,Spektral,danielegrattarola/spektral,graph,,https://github.com/danielegrattarola/spektral,https://github.com/danielegrattarola/spektral,MIT,2019-01-17 11:19:10.000,2024-01-21 16:47:04.000000,2024-01-21 16:46:47,1134.0,,336.0,45.0,57.0,71.0,210.0,2372.0,Graph Neural Networks with Keras and Tensorflow 2.,27.0,27,True,2024-01-21 16:17:36.000,1.3.1,35.0,spektral,,,,['tensorflow'],375.0,368.0,https://pypi.org/project/spektral,2024-01-21 16:17:36.000,7.0,7899.0,7899.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +427,textacy,chartbeat-labs/textacy,nlp,,https://github.com/chartbeat-labs/textacy,https://github.com/chartbeat-labs/textacy,,2016-02-03 16:52:45.000,2023-09-22 23:38:28.000000,2023-04-03 00:19:55,1816.0,,250.0,87.0,124.0,35.0,230.0,2217.0,"NLP, before and after spaCy.",35.0,27,False,2023-04-02 23:06:15.139,0.13.0,32.0,textacy,conda-forge/textacy,,,,1975.0,1909.0,https://pypi.org/project/textacy,2023-04-02 23:06:15.139,66.0,20119.0,22033.0,https://anaconda.org/conda-forge/textacy,2023-06-16 13:22:44.862,176106.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +428,Hyperas,maxpumperla/hyperas,hyperopt,,https://github.com/maxpumperla/hyperas,https://github.com/maxpumperla/hyperas,MIT,2016-02-19 14:45:10.000,2023-01-05 06:02:49.000000,2023-01-05 06:02:49,213.0,,318.0,63.0,38.0,97.0,160.0,2180.0,Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization.,22.0,27,False,2019-02-28 09:16:54.000,0.4.1,9.0,hyperas,,,,['tensorflow'],393.0,387.0,https://pypi.org/project/hyperas,2019-02-28 09:16:54.000,6.0,16099.0,16099.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +429,AmpliGraph,Accenture/AmpliGraph,graph,,https://github.com/Accenture/AmpliGraph,https://github.com/Accenture/AmpliGraph,Apache-2.0,2019-01-09 14:52:05.000,2024-11-22 16:48:16.000000,2024-02-28 15:45:58,1631.0,,250.0,67.0,63.0,32.0,199.0,2178.0,Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org.,21.0,27,True,2024-02-28 15:44:03.000,2.1.0,15.0,ampligraph,,,,['tensorflow'],62.0,60.0,https://pypi.org/project/ampligraph,2024-02-26 17:12:26.000,2.0,1223.0,1223.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +430,cuGraph,rapidsai/cugraph,gpu-utilities,,https://github.com/rapidsai/cugraph,https://github.com/rapidsai/cugraph,Apache-2.0,2018-11-15 18:07:11.000,2025-01-09 13:42:40.000000,2025-01-07 23:18:57,6704.0,84.0,308.0,46.0,3043.0,194.0,1598.0,1824.0,cuGraph - RAPIDS Graph Analytics Library.,118.0,27,True,2024-12-11 21:47:02.000,24.12.00,41.0,cugraph,conda-forge/libcugraph,,,,4.0,,https://pypi.org/project/cugraph,2020-06-01 20:09:06.000,4.0,283.0,871.0,https://anaconda.org/conda-forge/libcugraph,2023-06-16 19:25:39.870,26504.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +431,FARM,deepset-ai/FARM,nlp,,https://github.com/deepset-ai/FARM,https://github.com/deepset-ai/FARM,Apache-2.0,2019-07-17 14:51:12.000,2023-12-20 21:18:02.000000,2022-08-31 09:45:24,594.0,,245.0,55.0,446.0,6.0,402.0,1749.0,Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,37.0,27,False,2023-03-07 23:47:39.075,0.7.1,25.0,farm,conda-forge/farm,,,['pytorch'],235.0,232.0,https://pypi.org/project/farm,2020-09-14 15:23:01.000,3.0,34935.0,35029.0,https://anaconda.org/conda-forge/farm,2023-06-16 19:25:45.236,4272.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +432,gplearn,trevorstephens/gplearn,others,,https://github.com/trevorstephens/gplearn,https://github.com/trevorstephens/gplearn,BSD-3-Clause,2015-03-26 01:01:14.000,2024-12-28 04:41:37.133000,2023-08-12 06:34:27,161.0,,285.0,52.0,89.0,24.0,191.0,1643.0,"Genetic Programming in Python, with a scikit-learn inspired API.",11.0,27,False,2022-05-03 10:56:08.000,0.4.2,7.0,gplearn,conda-forge/gplearn,,,['sklearn'],700.0,681.0,https://pypi.org/project/gplearn,2022-05-03 10:47:30.000,19.0,9270.0,9424.0,https://anaconda.org/conda-forge/gplearn,2024-12-28 04:41:37.133,8513.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +433,TF Model Optimization,tensorflow/model-optimization,tensorflow-utils,,https://github.com/tensorflow/model-optimization,https://github.com/tensorflow/model-optimization,Apache-2.0,2018-10-31 20:34:28.000,2024-12-16 13:13:33.000000,2024-12-16 13:13:11,834.0,2.0,323.0,120.0,788.0,229.0,168.0,1506.0,"A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.",86.0,27,True,2024-02-08 02:06:46.000,0.8.0,31.0,tensorflow-model-optimization,,,,['tensorflow'],45.0,,https://pypi.org/project/tensorflow-model-optimization,2024-02-08 01:57:17.000,45.0,323165.0,323165.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +434,openTSNE,pavlin-policar/openTSNE,data-viz,,https://github.com/pavlin-policar/openTSNE,https://github.com/pavlin-policar/openTSNE,BSD-3-Clause,2018-06-08 18:42:09.000,2024-11-16 19:42:02.087000,2024-10-24 16:30:49,696.0,2.0,166.0,22.0,128.0,10.0,131.0,1490.0,"Extensible, parallel implementations of t-SNE.",13.0,27,True,2024-08-13 11:02:28.000,1.0.2,28.0,opentsne,conda-forge/opentsne,,,,1002.0,955.0,https://pypi.org/project/opentsne,2024-08-13 11:02:01.000,47.0,33789.0,40559.0,https://anaconda.org/conda-forge/opentsne,2024-11-16 19:42:02.087,358827.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +435,chainercv,chainer/chainercv,image,,https://github.com/chainer/chainercv,https://github.com/chainer/chainercv,MIT,2017-02-13 04:15:10.000,2021-07-01 16:54:50.000000,2020-01-07 11:48:31,4930.0,,312.0,73.0,742.0,58.0,168.0,1484.0,ChainerCV: a Library for Deep Learning in Computer Vision.,39.0,27,False,2019-06-12 11:55:40.000,0.13.1,25.0,chainercv,,,,,417.0,415.0,https://pypi.org/project/chainercv,2019-06-12 11:55:40.000,2.0,1466.0,1466.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +436,minisom,JustGlowing/minisom,others,,https://github.com/JustGlowing/minisom,https://github.com/JustGlowing/minisom,CC-BY-3.0,2013-07-03 10:10:06.000,2024-12-09 14:53:25.000000,2024-12-09 14:53:25,613.0,3.0,424.0,31.0,52.0,18.0,132.0,1468.0,MiniSom is a minimalistic implementation of the Self Organizing Maps.,30.0,27,False,2024-08-23 12:23:48.000,2.3.3,26.0,minisom,,,,,761.0,730.0,https://pypi.org/project/minisom,2024-08-23 12:22:45.000,31.0,22664.0,22664.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +437,pycm,sepandhaghighi/pycm,others,,https://github.com/sepandhaghighi/pycm,https://github.com/sepandhaghighi/pycm,MIT,2018-01-22 19:46:54.000,2024-12-28 18:48:03.000000,2024-10-15 17:52:15,3072.0,3.0,124.0,36.0,379.0,15.0,191.0,1460.0,Multi-class confusion matrix library in Python.,17.0,27,True,2024-10-17 14:28:07.000,4.1,45.0,pycm,,,,,386.0,362.0,https://pypi.org/project/pycm,2024-10-17 14:28:28.000,24.0,36712.0,36712.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +438,imodels,csinva/imodels,interpretability,,https://github.com/csinva/imodels,https://github.com/csinva/imodels,MIT,2019-07-04 15:38:48.000,2025-01-08 17:58:03.000000,2025-01-08 17:58:00,1080.0,19.0,122.0,24.0,116.0,37.0,58.0,1413.0,"Interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible).",24.0,27,True,2024-10-15 14:24:34.000,2.0.0,50.0,imodels,,,,,120.0,111.0,https://pypi.org/project/imodels,2024-10-15 14:23:49.000,9.0,25403.0,25403.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +439,DALEX,ModelOriented/DALEX,interpretability,,https://github.com/ModelOriented/DALEX,https://github.com/ModelOriented/DALEX,GPL-3.0,2018-02-18 03:24:12.000,2024-10-02 18:05:47.000000,2024-10-02 18:05:45,687.0,,166.0,50.0,164.0,24.0,384.0,1392.0,moDel Agnostic Language for Exploration and eXplanation.,26.0,27,False,2024-10-02 18:03:07.000,1.7.1,28.0,dalex,conda-forge/dalex,,,,205.0,198.0,https://pypi.org/project/dalex,2024-10-02 18:03:07.000,7.0,21616.0,22010.0,https://anaconda.org/conda-forge/dalex,2024-02-29 10:49:59.696,18918.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +440,Madmom,CPJKU/madmom,audio,,https://github.com/CPJKU/madmom,https://github.com/CPJKU/madmom,BSD-3-Clause,2015-09-08 08:19:06.000,2024-08-25 11:43:40.000000,2024-08-25 11:43:40,1753.0,,204.0,44.0,259.0,68.0,213.0,1374.0,Python audio and music signal processing library.,24.0,27,True,2018-11-14 14:57:41.000,0.16.1,11.0,madmom,,,,,486.0,459.0,https://pypi.org/project/madmom,2018-11-14 14:56:22.000,27.0,2154.0,2154.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +441,hls4ml,fastmachinelearning/hls4ml,model-serialisation,,https://github.com/fastmachinelearning/hls4ml,https://github.com/fastmachinelearning/hls4ml,Apache-2.0,2017-10-25 21:43:56.000,2025-01-07 23:40:11.000000,2025-01-07 22:47:26,2414.0,152.0,421.0,56.0,594.0,190.0,266.0,1329.0,Machine learning on FPGAs using HLS.,63.0,27,True,2024-12-09 22:48:05.000,1.0.0,17.0,hls4ml,conda-forge/hls4ml,,,"['tensorflow', 'pytorch']",1.0,,https://pypi.org/project/hls4ml,2024-12-09 22:48:05.000,1.0,1291.0,1473.0,https://anaconda.org/conda-forge/hls4ml,2023-06-16 19:22:51.232,9500.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +442,empyrical,quantopian/empyrical,financial-data,,https://github.com/quantopian/empyrical,https://github.com/quantopian/empyrical,Apache-2.0,2016-03-18 10:22:52.000,2024-07-26 06:19:42.000000,2020-10-14 13:22:39,167.0,,408.0,73.0,89.0,36.0,26.0,1324.0,Common financial risk and performance metrics. Used by zipline and pyfolio.,23.0,27,False,2020-10-13 21:29:19.000,0.5.5,21.0,empyrical,conda-forge/empyrical,,,,1572.0,1516.0,https://pypi.org/project/empyrical,2020-10-13 21:29:19.000,56.0,23350.0,23733.0,https://anaconda.org/conda-forge/empyrical,2023-06-16 16:07:55.979,31840.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +443,stockstats,jealous/stockstats,financial-data,,https://github.com/jealous/stockstats,https://github.com/jealous/stockstats,BSD-3-Clause,2016-06-05 15:21:22.000,2024-12-22 03:01:01.000000,2024-12-22 02:59:40,70.0,3.0,299.0,56.0,65.0,14.0,112.0,1322.0,Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.,10.0,27,True,2024-12-22 03:01:01.000,0.6.3,25.0,stockstats,,,,,1162.0,1150.0,https://pypi.org/project/stockstats,2024-12-22 03:01:01.000,12.0,9206.0,9206.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +444,PySwarms,ljvmiranda921/pyswarms,others,,https://github.com/ljvmiranda921/pyswarms,https://github.com/ljvmiranda921/pyswarms,MIT,2017-07-12 12:04:45.000,2024-08-06 17:18:34.000000,2023-06-06 09:46:40,415.0,,332.0,40.0,302.0,31.0,200.0,1302.0,A research toolkit for particle swarm optimization in Python.,45.0,27,False,2021-01-03 21:34:15.000,1.3.0,20.0,pyswarms,,,,,500.0,478.0,https://pypi.org/project/pyswarms,2021-01-03 21:34:15.000,22.0,24744.0,24744.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +445,fancyimpute,iskandr/fancyimpute,sklearn-utils,,https://github.com/iskandr/fancyimpute,https://github.com/iskandr/fancyimpute,Apache-2.0,2015-11-05 23:39:34.000,2023-10-25 17:26:07.000000,2021-10-21 17:45:17,202.0,,176.0,25.0,36.0,1.0,116.0,1257.0,Multivariate imputation and matrix completion algorithms implemented in Python.,11.0,27,False,2021-10-21 17:50:40.000,0.7.0,29.0,fancyimpute,,,,['sklearn'],1772.0,1751.0,https://pypi.org/project/fancyimpute,2021-10-21 17:50:40.000,21.0,123160.0,123160.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +446,Sentinelsat,sentinelsat/sentinelsat,geospatial-data,,https://github.com/sentinelsat/sentinelsat,https://github.com/sentinelsat/sentinelsat,GPL-3.0,2015-05-22 20:32:26.000,2024-12-26 11:00:01.158000,2024-02-29 13:41:11,1144.0,,244.0,61.0,249.0,5.0,367.0,993.0,Search and download Copernicus Sentinel satellite images.,44.0,27,False,2023-03-10 17:53:00.587,1.2.1,41.0,sentinelsat,conda-forge/sentinelsat,,,,640.0,606.0,https://pypi.org/project/sentinelsat,2017-03-06 02:33:09.000,34.0,18919.0,19599.0,https://anaconda.org/conda-forge/sentinelsat,2024-12-26 11:00:01.158,34561.0,,,,,3.0,331.0,,,,,,,,,,,,,,,,,,, +447,TensorFlow Transform,tensorflow/transform,tensorflow-utils,,https://github.com/tensorflow/transform,https://github.com/tensorflow/transform,Apache-2.0,2017-02-10 00:36:53.000,2024-11-27 23:12:36.000000,2024-11-27 23:12:35,944.0,5.0,215.0,58.0,99.0,39.0,172.0,986.0,Input pipeline framework.,29.0,27,True,2024-10-28 22:13:18.000,1.16.0,58.0,tensorflow-transform,,,,['tensorflow'],18.0,,https://pypi.org/project/tensorflow-transform,2024-10-28 22:32:45.000,18.0,392312.0,392312.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +448,pythreejs,jupyter-widgets/pythreejs,data-viz,,https://github.com/jupyter-widgets/pythreejs,https://github.com/jupyter-widgets/pythreejs,BSD-3-Clause,2013-12-23 17:02:11.000,2024-10-10 15:48:16.000000,2023-02-20 00:24:10,1723.0,,190.0,41.0,176.0,72.0,174.0,955.0,A Jupyter - Three.js bridge.,30.0,27,False,2023-02-20 00:24:01.104,2.4.2,46.0,pythreejs,conda-forge/pythreejs,,,['jupyter'],96.0,,https://pypi.org/project/pythreejs,2023-02-20 00:24:01.104,82.0,66179.0,73494.0,https://anaconda.org/conda-forge/pythreejs,2023-06-16 13:16:30.947,625995.0,,,,,3.0,,,,jupyter-threejs,https://www.npmjs.com/package/jupyter-threejs,2023-02-20 00:16:17.277,14.0,1296.0,,,,,,,,,,,, +449,scikit-multilearn,scikit-multilearn/scikit-multilearn,sklearn-utils,,https://github.com/scikit-multilearn/scikit-multilearn,https://github.com/scikit-multilearn/scikit-multilearn,BSD-2-Clause,2014-04-30 13:05:44.000,2024-02-01 04:40:03.000000,2023-04-19 21:43:19,547.0,,178.0,33.0,86.0,88.0,123.0,923.0,A scikit-learn based module for multi-label et. al. classification.,28.0,27,False,2018-12-10 16:24:47.000,0.2.0,7.0,scikit-multilearn,,,,['sklearn'],1912.0,1887.0,https://pypi.org/project/scikit-multilearn,2018-12-10 16:24:47.000,25.0,64927.0,64927.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +450,PyNNDescent,lmcinnes/pynndescent,nn-search,,https://github.com/lmcinnes/pynndescent,https://github.com/lmcinnes/pynndescent,BSD-2-Clause,2018-02-07 23:23:54.000,2024-12-14 16:28:19.477000,2024-11-10 14:49:37,681.0,2.0,106.0,14.0,100.0,73.0,67.0,908.0,A Python nearest neighbor descent for approximate nearest neighbors.,29.0,27,True,2024-06-17 15:48:31.000,0.5.13,32.0,pynndescent,conda-forge/pynndescent,,,,9140.0,8984.0,https://pypi.org/project/pynndescent,2024-06-17 15:48:31.000,156.0,1323104.0,1362942.0,https://anaconda.org/conda-forge/pynndescent,2024-12-14 16:28:19.477,2151256.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +451,mahotas,luispedro/mahotas,image,,https://github.com/luispedro/mahotas,https://github.com/luispedro/mahotas,MIT,2010-01-31 00:13:06.000,2024-07-18 20:23:32.152000,2024-07-17 19:01:14,1326.0,,149.0,50.0,59.0,21.0,70.0,858.0,Computer Vision in Python.,35.0,27,True,2024-07-17 21:10:14.000,1.4.18,63.0,mahotas,conda-forge/mahotas,,,,1481.0,1418.0,https://pypi.org/project/mahotas,2024-07-17 21:10:14.000,63.0,18073.0,27915.0,https://anaconda.org/conda-forge/mahotas,2024-07-18 20:23:32.152,541348.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +452,pySBD,nipunsadvilkar/pySBD,nlp,,https://github.com/nipunsadvilkar/pySBD,https://github.com/nipunsadvilkar/pySBD,MIT,2017-06-11 06:15:20.000,2024-12-26 15:28:39.188000,2021-02-11 16:40:18,279.0,,82.0,12.0,50.0,22.0,53.0,826.0,pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,6.0,27,False,2021-02-11 16:42:37.000,0.3.4,15.0,pysbd,conda-forge/pysbd,,,,5311.0,5234.0,https://pypi.org/project/pysbd,2021-02-11 16:36:33.000,77.0,868198.0,868399.0,https://anaconda.org/conda-forge/pysbd,2024-12-26 15:28:39.188,7840.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +453,ml-metadata,google/ml-metadata,ml-experiments,,https://github.com/google/ml-metadata,https://github.com/google/ml-metadata,Apache-2.0,2019-01-15 21:02:09.000,2024-10-24 21:42:13.000000,2024-10-24 21:41:40,887.0,33.0,148.0,29.0,97.0,47.0,76.0,633.0,For recording and retrieving metadata associated with ML developer and data scientist workflows.,21.0,27,True,2024-10-01 23:08:54.000,1.16.0,44.0,ml-metadata,,,,,643.0,612.0,https://pypi.org/project/ml-metadata,2024-10-01 23:08:54.000,31.0,70378.0,70419.0,,,,,,,,3.0,2910.0,,,,,,,,,,,,,,,,,,, +454,PyStan,stan-dev/pystan,probabilistics,,https://github.com/stan-dev/pystan,https://github.com/stan-dev/pystan,ISC,2017-03-06 19:56:42.094,2024-07-03 17:04:15.000000,2024-07-03 17:02:18,237.0,,59.0,14.0,207.0,12.0,187.0,344.0,"PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io.",14.0,27,True,2024-07-03 17:04:15.000,3.10.0,73.0,pystan,conda-forge/pystan,,,,10345.0,10184.0,https://pypi.org/project/pystan,2024-07-03 17:04:15.000,161.0,700210.0,731585.0,https://anaconda.org/conda-forge/pystan,2023-06-16 13:14:39.735,2949265.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +455,TTS,mozilla/TTS,audio,,https://github.com/mozilla/TTS,https://github.com/mozilla/TTS,MPL-2.0,2018-01-23 14:22:06.000,2023-11-09 15:37:59.000000,2021-02-12 10:36:31,2184.0,,1225.0,185.0,213.0,32.0,534.0,9522.0,Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts).,56.0,26,False,2021-01-29 00:03:56.000,0.0.9,1.0,,,,,,21.0,21.0,,,,,306.0,,,,,,,,3.0,14733.0,,,,,,,,,,,,,,,,,,, +456,flashtext,vi3k6i5/flashtext,nlp,,https://github.com/vi3k6i5/flashtext,https://github.com/vi3k6i5/flashtext,MIT,2017-08-15 18:03:01.000,2024-07-03 08:05:36.000000,2020-05-03 07:13:22,108.0,,599.0,142.0,31.0,69.0,55.0,5604.0,Extract Keywords from sentence or Replace keywords in sentences.,7.0,26,False,,,18.0,flashtext,conda-forge/flashtext,,,,1916.0,1860.0,https://pypi.org/project/flashtext,2018-02-16 05:24:17.000,56.0,1573387.0,1573764.0,https://anaconda.org/conda-forge/flashtext,2023-06-16 19:20:49.106,20375.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +457,Augmentor,mdbloice/Augmentor,image,,https://github.com/mdbloice/Augmentor,https://github.com/mdbloice/Augmentor,MIT,2016-03-01 18:29:55.000,2024-03-21 14:27:34.000000,2023-03-29 07:02:37,553.0,,867.0,123.0,64.0,136.0,74.0,5090.0,Image augmentation library in Python for machine learning.,23.0,26,False,2023-03-29 07:06:01.465,0.2.12,24.0,Augmentor,,,,,878.0,866.0,https://pypi.org/project/Augmentor,2022-04-27 09:29:23.000,12.0,7085.0,7085.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +458,TensorTrade,tensortrade-org/tensortrade,financial-data,,https://github.com/tensortrade-org/tensortrade,https://github.com/tensortrade-org/tensortrade,Apache-2.0,2019-07-30 21:28:32.000,2024-06-09 21:29:46.000000,2024-06-09 21:29:43,1062.0,,1021.0,244.0,218.0,52.0,203.0,4616.0,"An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.",61.0,26,True,2021-05-10 18:04:30.000,1.0.3,27.0,tensortrade,conda-forge/tensortrade,,,,68.0,67.0,https://pypi.org/project/tensortrade,2021-05-10 18:00:35.000,1.0,1592.0,1689.0,https://anaconda.org/conda-forge/tensortrade,2023-06-16 19:25:40.006,4376.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +459,Alpha Vantage,RomelTorres/alpha_vantage,financial-data,,https://github.com/RomelTorres/alpha_vantage,https://github.com/RomelTorres/alpha_vantage,MIT,2017-04-29 17:23:00.000,2024-08-09 13:30:50.391000,2024-07-18 16:46:48,557.0,,741.0,175.0,90.0,1.0,288.0,4338.0,A python wrapper for Alpha Vantage API for financial data.,44.0,26,True,2024-07-18 14:29:16.000,3.0.0,35.0,alpha_vantage,conda-forge/alpha_vantage,,,,35.0,,https://pypi.org/project/alpha_vantage,2024-07-18 14:29:16.000,35.0,39768.0,39936.0,https://anaconda.org/conda-forge/alpha_vantage,2024-08-09 13:30:50.391,8099.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +460,TensorFlowOnSpark,yahoo/TensorFlowOnSpark,distributed-ml,,https://github.com/yahoo/TensorFlowOnSpark,https://github.com/yahoo/TensorFlowOnSpark,Apache-2.0,2017-01-20 18:15:57.000,2023-07-10 10:34:11.000000,2023-04-27 20:08:56,632.0,,964.0,281.0,226.0,12.0,356.0,3872.0,TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.,34.0,26,False,2022-04-21 20:41:22.000,2.2.5,32.0,tensorflowonspark,conda-forge/tensorflowonspark,,,"['tensorflow', 'spark']",5.0,,https://pypi.org/project/tensorflowonspark,2022-04-21 20:05:56.000,5.0,125438.0,125867.0,https://anaconda.org/conda-forge/tensorflowonspark,2023-06-16 16:19:28.736,26181.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +461,Chartify,spotify/chartify,data-viz,,https://github.com/spotify/chartify,https://github.com/spotify/chartify,Apache-2.0,2018-09-17 14:12:05.000,2024-10-16 14:48:03.000000,2024-10-16 14:45:12,235.0,25.0,324.0,89.0,102.0,51.0,32.0,3554.0,Python library that makes it easy for data scientists to create charts.,27.0,26,True,2024-10-16 14:48:03.000,5.0.1,27.0,chartify,conda-forge/chartify,,,,89.0,80.0,https://pypi.org/project/chartify,2024-10-16 14:48:03.000,9.0,2048.0,2519.0,https://anaconda.org/conda-forge/chartify,2023-06-16 16:11:58.064,34892.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +462,TensorForce,tensorforce/tensorforce,reinforcement-learning,,https://github.com/tensorforce/tensorforce,https://github.com/tensorforce/tensorforce,Apache-2.0,2017-03-19 16:24:22.000,2024-07-31 20:26:54.000000,2024-07-31 20:26:47,2116.0,,530.0,142.0,240.0,43.0,635.0,3300.0,Tensorforce: a TensorFlow library for applied reinforcement learning.,85.0,26,True,2021-08-30 20:20:58.000,0.6.5,24.0,tensorforce,,,,['tensorflow'],460.0,456.0,https://pypi.org/project/tensorforce,2021-08-30 20:13:45.000,4.0,725.0,725.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +463,SHOGUN,shogun-toolbox/shogun,ml-frameworks,,https://github.com/shogun-toolbox/shogun,https://github.com/shogun-toolbox/shogun,BSD-3-Clause,2011-04-01 10:44:32.000,2023-12-19 18:37:18.000000,2023-12-19 18:37:18,17589.0,,1050.0,215.0,3649.0,429.0,1111.0,3033.0,Unified and efficient Machine Learning.,248.0,26,False,2019-07-05 10:23:31.000,shogun_6.1.4,10.0,,conda-forge/shogun,shogun/shogun,,,,,,,,,1730.0,https://anaconda.org/conda-forge/shogun,2023-06-16 13:22:38.816,154891.0,https://hub.docker.com/r/shogun/shogun,2019-01-31 13:45:10.435327,1.0,1523.0,3.0,,,,,,,,,,shogun,,,,,,,,,, +464,Sweetviz,fbdesignpro/sweetviz,data-viz,,https://github.com/fbdesignpro/sweetviz,https://github.com/fbdesignpro/sweetviz,MIT,2020-05-09 15:25:47.000,2025-01-07 14:31:32.161000,2023-11-29 13:26:08,135.0,,277.0,54.0,21.0,45.0,97.0,2968.0,"Visualize and compare datasets, target values and associations, with one line of code.",11.0,26,False,2023-11-29 13:30:45.000,2.3.1,35.0,sweetviz,conda-forge/sweetviz,,,,2758.0,2728.0,https://pypi.org/project/sweetviz,2023-11-29 13:27:52.000,30.0,52947.0,53747.0,https://anaconda.org/conda-forge/sweetviz,2025-01-07 14:31:32.161,37617.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +465,eli5,TeamHG-Memex/eli5,interpretability,,https://github.com/TeamHG-Memex/eli5,https://github.com/TeamHG-Memex/eli5,MIT,2016-09-15 01:04:57.000,2023-06-16 13:18:29.838000,2020-01-22 07:39:36,1198.0,,329.0,68.0,168.0,164.0,113.0,2763.0,A library for debugging/inspecting machine learning classifiers and explaining their predictions.,14.0,26,False,2022-05-11 09:37:12.000,0.13.0,30.0,eli5,conda-forge/eli5,,,,61.0,,https://pypi.org/project/eli5,2022-05-11 09:37:12.000,61.0,151830.0,153701.0,https://anaconda.org/conda-forge/eli5,2023-06-16 13:18:29.838,172179.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +466,Enigma Catalyst,scrtlabs/catalyst,financial-data,,https://github.com/scrtlabs/catalyst,https://github.com/scrtlabs/catalyst,Apache-2.0,2017-06-13 22:31:34.000,2022-11-26 14:07:55.000000,2021-09-22 15:31:55,6364.0,,720.0,168.0,94.0,136.0,358.0,2499.0,An Algorithmic Trading Library for Crypto-Assets in Python.,152.0,26,False,2018-11-11 16:46:28.000,0.5.21,52.0,enigma-catalyst,,,,,29.0,27.0,https://pypi.org/project/enigma-catalyst,2018-11-11 16:46:28.000,2.0,728.0,728.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +467,Fairness 360,Trusted-AI/AIF360,interpretability,,https://github.com/Trusted-AI/AIF360,https://github.com/Trusted-AI/AIF360,Apache-2.0,2018-08-22 20:47:15.000,2025-01-05 13:34:23.940000,2024-12-10 03:08:33,438.0,1.0,842.0,91.0,293.0,200.0,103.0,2493.0,"A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and..",73.0,26,True,2024-04-08 20:03:12.000,0.6.1,12.0,aif360,conda-forge/aif360,,,,579.0,547.0,https://pypi.org/project/aif360,2024-04-08 20:03:12.000,32.0,13951.0,14291.0,https://anaconda.org/conda-forge/aif360,2025-01-05 13:34:23.940,17718.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +468,Norfair,tryolabs/norfair,image,,https://github.com/tryolabs/norfair,https://github.com/tryolabs/norfair,BSD-3-Clause,2020-07-01 20:15:44.000,2024-07-27 16:14:52.000000,2024-07-27 16:14:15,696.0,,250.0,35.0,148.0,24.0,146.0,2427.0,Lightweight Python library for adding real-time multi-object tracking to any detector.,31.0,26,True,2023-01-04 21:42:02.301,2.2.0,19.0,norfair,,,,,265.0,256.0,https://pypi.org/project/norfair,2022-05-30 21:14:58.000,9.0,19543.0,19549.0,,,,,,,,3.0,343.0,,,,,,,,,,,,,,,,,,, +469,polyglot,aboSamoor/polyglot,nlp,,https://github.com/aboSamoor/polyglot,https://github.com/aboSamoor/polyglot,GPL-3.0,2014-06-30 02:07:45.000,2023-11-10 03:06:08.000000,2020-09-22 22:35:28,271.0,,338.0,77.0,55.0,170.0,68.0,2317.0,Multilingual text (NLP) processing toolkit.,26.0,26,False,2021-12-15 16:11:38.716,15.5.1,9.0,polyglot,,,,,1462.0,1413.0,https://pypi.org/project/polyglot,2021-12-15 16:11:38.716,49.0,35131.0,35131.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +470,scattertext,JasonKessler/scattertext,nlp,,https://github.com/JasonKessler/scattertext,https://github.com/JasonKessler/scattertext,Apache-2.0,2016-07-21 01:47:12.000,2024-09-23 05:35:47.000000,2024-09-23 05:24:01,389.0,,291.0,55.0,14.0,22.0,80.0,2268.0,Beautiful visualizations of how language differs among document types.,14.0,26,True,2024-09-23 05:35:47.000,0.2.2,151.0,scattertext,conda-forge/scattertext,,,,653.0,648.0,https://pypi.org/project/scattertext,2024-09-23 05:35:47.000,5.0,11685.0,12862.0,https://anaconda.org/conda-forge/scattertext,2023-06-16 13:23:09.869,104827.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +471,PyTextRank,DerwenAI/pytextrank,nlp,,https://github.com/DerwenAI/pytextrank,https://github.com/DerwenAI/pytextrank,MIT,2016-10-02 18:39:12.000,2024-07-16 08:39:07.000000,2024-05-21 15:42:46,481.0,,336.0,65.0,161.0,13.0,92.0,2161.0,Python implementation of TextRank algorithms (textgraphs) for phrase extraction.,19.0,26,True,2024-02-21 23:17:37.000,3.3.0,22.0,pytextrank,,,,,797.0,778.0,https://pypi.org/project/pytextrank,2024-02-21 23:17:37.000,19.0,62757.0,62757.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +472,efficientnet,qubvel/efficientnet,tensorflow-utils,,https://github.com/qubvel/efficientnet,https://github.com/qubvel/efficientnet,Apache-2.0,2019-05-30 20:21:09.000,2024-04-08 21:03:52.579000,2021-07-16 09:03:20,66.0,,463.0,38.0,43.0,64.0,58.0,2071.0,Implementation of EfficientNet model. Keras and TensorFlow Keras.,10.0,26,False,2020-09-15 16:26:00.000,1.1.1,9.0,efficientnet,anaconda/efficientnet,,,['tensorflow'],2458.0,2444.0,https://pypi.org/project/efficientnet,2020-09-15 16:26:00.000,14.0,73190.0,77050.0,https://anaconda.org/anaconda/efficientnet,2024-04-08 21:03:52.579,545.0,,,,,3.0,261809.0,,,,,,,,,,,,,,,,,,, +473,pyts,johannfaouzi/pyts,time-series-data,,https://github.com/johannfaouzi/pyts,https://github.com/johannfaouzi/pyts,BSD-3-Clause,2017-07-31 09:23:16.000,2023-09-11 22:28:27.000000,2023-06-20 13:16:50,391.0,,165.0,26.0,82.0,51.0,36.0,1790.0,A Python package for time series classification.,14.0,26,False,2023-06-18 12:36:11.801,0.13.0,19.0,pyts,conda-forge/pyts,,,,788.0,743.0,https://pypi.org/project/pyts,2023-06-18 12:36:11.801,45.0,96507.0,97253.0,https://anaconda.org/conda-forge/pyts,2023-06-18 16:28:23.633,29112.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +474,Paddle Graph Learning,PaddlePaddle/PGL,graph,,https://github.com/PaddlePaddle/PGL,https://github.com/PaddlePaddle/PGL,Apache-2.0,2019-06-11 03:23:28.000,2023-12-11 05:15:14.000000,2023-09-26 07:34:28,1378.0,,310.0,28.0,381.0,56.0,155.0,1576.0,Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle.,31.0,26,False,2023-09-26 07:49:38.000,2.2.6,21.0,pgl,,,,['paddle'],64.0,63.0,https://pypi.org/project/pgl,2023-09-26 07:49:38.000,1.0,2469.0,2469.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +475,metric-learn,scikit-learn-contrib/metric-learn,others,,https://github.com/scikit-learn-contrib/metric-learn,https://github.com/scikit-learn-contrib/metric-learn,MIT,2013-11-02 08:29:47.000,2025-01-06 10:54:43.934000,2024-08-03 19:34:12,297.0,,231.0,46.0,186.0,53.0,121.0,1408.0,Metric learning algorithms in Python.,23.0,26,True,2023-10-09 04:53:59.000,0.7.0,11.0,metric-learn,conda-forge/metric-learn,,,['sklearn'],449.0,442.0,https://pypi.org/project/metric-learn,2023-10-09 04:53:59.000,7.0,4674.0,4936.0,https://anaconda.org/conda-forge/metric-learn,2025-01-06 10:54:43.934,14191.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +476,Streamz,python-streamz/streamz,time-series-data,,https://github.com/python-streamz/streamz,https://github.com/python-streamz/streamz,BSD-3-Clause,2017-04-04 21:45:49.000,2024-12-20 17:07:42.391000,2024-11-22 14:04:30,811.0,1.0,148.0,35.0,215.0,120.0,152.0,1248.0,Real-time stream processing for python.,49.0,26,True,2022-07-27 18:09:03.803,0.6.4,17.0,streamz,conda-forge/streamz,,,,569.0,512.0,https://pypi.org/project/streamz,2022-07-27 18:09:03.803,57.0,25927.0,52708.0,https://anaconda.org/conda-forge/streamz,2024-12-20 17:07:42.391,1446194.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +477,ktrain,amaiya/ktrain,ml-frameworks,,https://github.com/amaiya/ktrain,https://github.com/amaiya/ktrain,Apache-2.0,2019-02-06 17:01:39.000,2024-08-23 02:08:55.000000,2024-07-09 16:09:26,3066.0,,268.0,35.0,38.0,1.0,497.0,1240.0,ktrain is a Python library that makes deep learning and AI more accessible and easier to apply.,17.0,26,True,2024-06-19 01:15:40.000,0.41.4,211.0,ktrain,,,,['tensorflow'],565.0,561.0,https://pypi.org/project/ktrain,2024-06-19 01:15:40.000,4.0,7732.0,7732.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +478,SMAC3,automl/SMAC3,hyperopt,,https://github.com/automl/SMAC3,https://github.com/automl/SMAC3,BSD-1-Clause,2016-08-17 10:58:05.000,2025-01-08 14:16:02.000000,2024-07-24 14:36:04,2074.0,,225.0,42.0,617.0,109.0,461.0,1100.0,SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization.,42.0,26,False,2024-07-24 14:42:30.000,2.2.0,49.0,smac,conda-forge/smac,,,,40.0,,https://pypi.org/project/smac,2024-07-24 14:42:30.000,40.0,16530.0,17125.0,https://anaconda.org/conda-forge/smac,2024-12-26 18:30:31.016,27387.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +479,data-validation,tensorflow/data-validation,data-viz,,https://github.com/tensorflow/data-validation,https://github.com/tensorflow/data-validation,Apache-2.0,2018-07-02 15:47:02.000,2024-11-20 13:14:37.000000,2024-11-20 13:14:36,977.0,6.0,174.0,49.0,89.0,39.0,144.0,767.0,Library for exploring and validating machine learning data.,27.0,26,True,2024-10-15 19:51:40.000,1.16.1,48.0,tensorflow-data-validation,,,,"['tensorflow', 'jupyter']",31.0,,https://pypi.org/project/tensorflow-data-validation,2024-10-15 20:20:03.000,31.0,135495.0,135507.0,,,,,,,,3.0,936.0,,,,,,,,,,,,,,,,,,, +480,pyRiemann,pyRiemann/pyRiemann,ml-frameworks,,https://github.com/pyRiemann/pyRiemann,https://github.com/pyRiemann/pyRiemann,BSD-3-Clause,2015-04-19 16:01:44.000,2025-01-06 21:49:27.000000,2025-01-06 21:49:26,639.0,9.0,164.0,31.0,231.0,5.0,105.0,655.0,Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python.,36.0,26,True,2024-10-03 19:57:53.000,0.7,13.0,pyriemann,conda-forge/pyriemann,,https://pyriemann.readthedocs.io/en/latest/,['sklearn'],443.0,415.0,https://pypi.org/project/pyriemann,2024-10-03 19:58:27.000,28.0,22071.0,22379.0,https://anaconda.org/conda-forge/pyriemann,2024-12-26 19:14:04.475,9573.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +481,EarthPy,earthlab/earthpy,geospatial-data,,https://github.com/earthlab/earthpy,https://github.com/earthlab/earthpy,BSD-3-Clause,2018-02-20 03:02:42.000,2024-06-05 18:36:28.000000,2023-08-23 17:20:54,1241.0,,160.0,18.0,717.0,42.0,208.0,512.0,A package built to support working with spatial data using open source python.,44.0,26,False,2021-10-01 22:51:04.000,0.9.4,23.0,earthpy,conda-forge/earthpy,,,,404.0,387.0,https://pypi.org/project/earthpy,2021-10-01 22:51:04.000,17.0,9390.0,10642.0,https://anaconda.org/conda-forge/earthpy,2023-06-16 16:14:50.280,86431.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +482,sklearn-crfsuite,TeamHG-Memex/sklearn-crfsuite,sklearn-utils,,https://github.com/TeamHG-Memex/sklearn-crfsuite,https://github.com/TeamHG-Memex/sklearn-crfsuite,MIT,2015-11-26 21:15:41.000,2024-06-18 11:08:22.000000,2019-12-05 08:17:22,46.0,,215.0,22.0,17.0,46.0,23.0,426.0,scikit-learn inspired API for CRFsuite.,6.0,26,False,2024-06-18 11:08:22.000,0.5.0,11.0,sklearn-crfsuite,conda-forge/sklearn-crfsuite,,,['sklearn'],8226.0,8087.0,https://pypi.org/project/sklearn-crfsuite,2024-06-18 11:08:22.000,139.0,303935.0,304657.0,https://anaconda.org/conda-forge/sklearn-crfsuite,2023-06-16 19:18:37.991,41174.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +483,scikit-posthocs,maximtrp/scikit-posthocs,probabilistics,,https://github.com/maximtrp/scikit-posthocs,https://github.com/maximtrp/scikit-posthocs,MIT,2017-06-22 19:41:37.000,2024-12-23 10:34:02.342000,2024-12-18 12:56:13,545.0,7.0,40.0,5.0,16.0,3.0,60.0,354.0,Multiple Pairwise Comparisons (Post Hoc) Tests in Python.,15.0,26,True,2024-12-18 12:59:40.000,0.11.2,30.0,scikit-posthocs,conda-forge/scikit-posthocs,,,['sklearn'],1007.0,944.0,https://pypi.org/project/scikit-posthocs,2024-12-18 12:59:40.000,63.0,88776.0,108269.0,https://anaconda.org/conda-forge/scikit-posthocs,2024-12-23 10:34:02.342,994184.0,,,,,3.0,66.0,,,,,,,,,,,,,,,,,,, +484,PyText,facebookresearch/pytext,nlp,,https://github.com/facebookresearch/pytext,https://github.com/facebookresearch/pytext,BSD-3-Clause,2018-07-31 23:40:46.000,2022-10-17 19:55:31.000000,2022-10-17 19:51:05,1735.0,,802.0,169.0,1588.0,145.0,74.0,6338.0,A natural language modeling framework based on PyTorch.,234.0,25,False,2020-06-08 23:30:58.000,0.3.3,13.0,pytext-nlp,,,,['pytorch'],21.0,21.0,https://pypi.org/project/pytext-nlp,2020-06-08 22:49:33.000,,236.0,241.0,,,,,,,,3.0,433.0,,,,,,,,,,,,,,,,,,, +485,mmdnn,Microsoft/MMdnn,model-serialisation,,https://github.com/microsoft/MMdnn,https://github.com/microsoft/MMdnn,MIT,2017-08-16 08:03:52.000,2024-05-29 15:42:28.000000,2022-09-22 23:59:07,1084.0,,965.0,181.0,328.0,337.0,294.0,5807.0,MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion..,86.0,25,False,2020-07-24 06:34:39.000,0.3.1,12.0,mmdnn,,,,,144.0,144.0,https://pypi.org/project/mmdnn,2020-07-24 06:34:39.000,,551.0,595.0,,,,,,,,2.0,3856.0,,,,,,,,,,,,,,,,,,, +486,scikit-opt,guofei9987/scikit-opt,sklearn-utils,,https://github.com/guofei9987/scikit-opt,https://github.com/guofei9987/scikit-opt,MIT,2017-12-05 10:20:41.000,2024-06-23 12:28:48.000000,2024-06-23 12:28:48,343.0,,990.0,48.0,34.0,67.0,113.0,5367.0,"Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune..",24.0,25,True,2022-01-14 08:49:08.000,0.6.6,23.0,scikit-opt,,,,['sklearn'],259.0,244.0,https://pypi.org/project/scikit-opt,2022-01-14 08:49:08.000,15.0,3994.0,3994.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +487,DALI,NVIDIA/DALI,gpu-utilities,,https://github.com/NVIDIA/DALI,https://github.com/NVIDIA/DALI,Apache-2.0,2018-06-01 22:18:01.000,2025-01-09 12:03:13.000000,2025-01-09 12:03:12,3764.0,68.0,621.0,92.0,4134.0,245.0,1424.0,5236.0,A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to..,94.0,25,True,2024-11-28 18:09:35.000,1.44.0,85.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +488,Image Deduplicator,idealo/imagededup,image,,https://github.com/idealo/imagededup,https://github.com/idealo/imagededup,Apache-2.0,2019-04-05 12:10:54.000,2024-12-19 20:40:15.000000,2024-12-19 20:39:47,524.0,3.0,453.0,64.0,94.0,39.0,88.0,5218.0,Finding duplicate images made easy!.,16.0,25,True,2023-04-28 17:29:01.612,0.3.2,12.0,imagededup,,,,['tensorflow'],169.0,164.0,https://pypi.org/project/imagededup,2023-04-28 17:29:01.612,5.0,17137.0,17137.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +489,Lucid,tensorflow/lucid,interpretability,,https://github.com/tensorflow/lucid,https://github.com/tensorflow/lucid,Apache-2.0,2018-01-25 17:41:44.000,2023-02-06 16:41:16.000000,2021-03-19 15:48:33,667.0,,658.0,158.0,130.0,83.0,101.0,4682.0,A collection of infrastructure and tools for research in neural network interpretability.,40.0,25,False,2021-03-19 16:01:00.000,0.3.10,17.0,lucid,,,,['tensorflow'],808.0,802.0,https://pypi.org/project/lucid,2021-03-19 16:01:00.000,6.0,718.0,718.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +490,OpenPrompt,thunlp/OpenPrompt,nlp,,https://github.com/thunlp/OpenPrompt,https://github.com/thunlp/OpenPrompt,Apache-2.0,2021-09-30 09:38:45.000,2024-07-16 03:48:08.000000,2023-05-06 14:09:10,264.0,,451.0,44.0,56.0,95.0,175.0,4425.0,An Open-Source Framework for Prompt-Learning.,24.0,25,False,2022-07-06 14:27:42.000,1.0.1,5.0,openprompt,,,,,163.0,160.0,https://pypi.org/project/openprompt,2022-07-06 14:27:42.000,3.0,5892.0,5892.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +491,Snips NLU,snipsco/snips-nlu,nlp,,https://github.com/snipsco/snips-nlu,https://github.com/snipsco/snips-nlu,Apache-2.0,2017-02-08 16:16:36.000,2023-05-22 16:10:15.000000,2021-05-03 12:18:31,2154.0,,511.0,134.0,649.0,65.0,198.0,3899.0,Snips Python library to extract meaning from text.,22.0,25,False,2020-01-15 10:13:17.000,0.20.2,58.0,snips-nlu,,,,,13.0,,https://pypi.org/project/snips-nlu,2020-01-15 10:13:17.000,13.0,1729.0,1729.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +492,RecBole,RUCAIBox/RecBole,recommender-systems,,https://github.com/RUCAIBox/RecBole,https://github.com/RUCAIBox/RecBole,MIT,2020-06-11 15:18:11.000,2024-09-05 04:03:54.000000,2024-09-05 04:03:53,4353.0,,622.0,43.0,1018.0,289.0,716.0,3540.0,"A unified, comprehensive and efficient recommendation library.",74.0,25,True,2023-11-04 11:23:19.000,1.2.0,10.0,recbole,aibox/recbole,,,['pytorch'],2.0,,https://pypi.org/project/recbole,2023-10-31 12:52:34.000,2.0,61565.0,61709.0,https://anaconda.org/aibox/recbole,2023-11-01 15:53:42.380,7209.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +493,Apache Singa,apache/singa,distributed-ml,,https://github.com/apache/singa,https://github.com/apache/singa,Apache-2.0,2015-04-02 07:00:05.000,2025-01-09 07:19:03.000000,2024-12-30 04:13:34,2905.0,48.0,1244.0,133.0,1145.0,50.0,87.0,3382.0,a distributed deep learning platform.,96.0,25,True,2020-04-21 08:01:08.000,3.0.0,16.0,,nusdbsystem/singa,apache/singa,,,5.0,5.0,,,,,82.0,https://anaconda.org/nusdbsystem/singa,2023-06-16 13:23:56.805,882.0,https://hub.docker.com/r/apache/singa,2022-05-31 15:24:19.649658,4.0,8595.0,3.0,,,,,,,,,,,,,,,,,,,, +494,Hummingbird,microsoft/hummingbird,model-serialisation,,https://github.com/microsoft/hummingbird,https://github.com/microsoft/hummingbird,MIT,2020-03-12 20:27:03.000,2024-11-20 06:18:08.919000,2024-10-24 16:27:28,480.0,3.0,279.0,51.0,477.0,69.0,261.0,3371.0,Hummingbird compiles trained ML models into tensor computation for faster inference.,40.0,25,True,2024-10-25 17:04:56.000,0.4.12,25.0,hummingbird-ml,conda-forge/hummingbird-ml,,,,7.0,,https://pypi.org/project/hummingbird-ml,2024-10-25 17:04:56.000,7.0,6809.0,7979.0,https://anaconda.org/conda-forge/hummingbird-ml,2024-11-20 06:18:08.919,53227.0,,,,,2.0,771.0,,,,,,,,,,,,,,,,,,, +495,pytorchvideo,facebookresearch/pytorchvideo,image,,https://github.com/facebookresearch/pytorchvideo,https://github.com/facebookresearch/pytorchvideo,Apache-2.0,2021-03-09 20:39:13.000,2024-11-26 11:14:41.000000,2024-11-26 10:38:20,182.0,1.0,412.0,157.0,86.0,105.0,101.0,3359.0,A deep learning library for video understanding research.,57.0,25,True,2022-01-20 00:16:35.000,0.1.5,9.0,pytorchvideo,,,,['pytorch'],24.0,,https://pypi.org/project/pytorchvideo,2022-01-20 00:16:35.000,24.0,23945.0,23945.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +496,PARL,PaddlePaddle/PARL,reinforcement-learning,,https://github.com/PaddlePaddle/PARL,https://github.com/PaddlePaddle/PARL,Apache-2.0,2018-04-25 17:54:22.000,2024-07-30 10:50:08.000000,2024-07-09 09:34:16,515.0,,812.0,63.0,642.0,133.0,405.0,3304.0,A high-performance distributed training framework for Reinforcement Learning.,45.0,25,True,2023-03-14 02:03:08.557,2.2.1,29.0,parl,,,,['paddle'],132.0,131.0,https://pypi.org/project/parl,2022-05-13 04:46:41.000,1.0,1266.0,1266.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +497,neuralcoref,huggingface/neuralcoref,nlp,,https://github.com/huggingface/neuralcoref,https://github.com/huggingface/neuralcoref,MIT,2017-07-03 13:04:16.000,2023-06-16 19:17:56.088000,2021-06-22 10:51:48,116.0,,478.0,97.0,49.0,65.0,254.0,2865.0,Fast Coreference Resolution in spaCy with Neural Networks.,21.0,25,False,2019-04-08 11:28:27.000,4.0.0,5.0,neuralcoref,conda-forge/neuralcoref,,,,761.0,740.0,https://pypi.org/project/neuralcoref,2019-04-08 09:56:00.000,21.0,2505.0,2861.0,https://anaconda.org/conda-forge/neuralcoref,2023-06-16 19:17:56.088,20308.0,,,,,3.0,1148.0,,,,,,,,,,,,,,,,,,, +498,m2cgen,BayesWitnesses/m2cgen,model-serialisation,,https://github.com/BayesWitnesses/m2cgen,https://github.com/BayesWitnesses/m2cgen,MIT,2019-01-13 02:32:55.000,2024-08-03 17:30:36.000000,2022-10-05 16:26:03,376.0,,241.0,50.0,482.0,57.0,70.0,2837.0,"Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart,..",14.0,25,False,2022-04-26 01:24:34.000,0.10.0,13.0,m2cgen,,,,,288.0,285.0,https://pypi.org/project/m2cgen,2022-04-26 01:24:34.000,3.0,20021.0,20022.0,,,,,,,,2.0,91.0,,,,,,,,,,,,,,,,,,, +499,tensorflow-graphics,tensorflow/graphics,image,,https://github.com/tensorflow/graphics,https://github.com/tensorflow/graphics,Apache-2.0,2019-01-08 10:39:44.000,2024-12-18 09:05:53.000000,2024-08-01 02:26:24,769.0,,366.0,79.0,559.0,144.0,95.0,2756.0,TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow.,39.0,25,True,2021-12-03 22:33:39.000,2021.12.3,25.0,tensorflow-graphics,,,,['tensorflow'],11.0,,https://pypi.org/project/tensorflow-graphics,2021-12-03 22:33:39.000,11.0,14760.0,14760.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +500,TF Ranking,tensorflow/ranking,recommender-systems,,https://github.com/tensorflow/ranking,https://github.com/tensorflow/ranking,Apache-2.0,2018-12-03 20:48:57.000,2024-03-18 21:00:38.000000,2024-03-18 20:31:55,556.0,,477.0,97.0,44.0,91.0,240.0,2755.0,Learning to Rank in TensorFlow.,36.0,25,True,2024-03-18 21:00:38.000,0.5.5,23.0,tensorflow_ranking,,,,['tensorflow'],15.0,,https://pypi.org/project/tensorflow_ranking,2024-03-18 21:00:38.000,15.0,39916.0,39916.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +501,TabNet,dreamquark-ai/tabnet,pytorch-utils,,https://github.com/dreamquark-ai/tabnet,https://github.com/dreamquark-ai/tabnet,MIT,2019-10-17 11:17:32.000,2024-10-23 15:36:38.000000,2023-07-23 14:42:27,191.0,,492.0,39.0,251.0,52.0,290.0,2681.0,PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf.,21.0,25,False,2023-07-23 13:34:05.000,4.1.0,19.0,pytorch-tabnet,conda-forge/pytorch-tabnet,,,['pytorch'],11.0,,https://pypi.org/project/pytorch-tabnet,2023-07-23 13:26:57.000,11.0,37399.0,37647.0,https://anaconda.org/conda-forge/pytorch-tabnet,2023-12-20 04:10:30.919,9178.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +502,kubric,google-research/kubric,image,,https://github.com/google-research/kubric,https://github.com/google-research/kubric,Apache-2.0,2020-07-22 19:56:38.000,2024-12-01 16:24:05.000000,2024-11-29 04:22:46,558.0,11.0,227.0,40.0,137.0,63.0,127.0,2391.0,A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as..,31.0,25,True,2023-12-27 00:46:01.000,2023.12.27,773.0,kubric-nightly,,,,,7.0,7.0,https://pypi.org/project/kubric-nightly,2023-12-27 00:46:01.000,,16900.0,16900.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +503,python_speech_features,jameslyons/python_speech_features,audio,,https://github.com/jameslyons/python_speech_features,https://github.com/jameslyons/python_speech_features,MIT,2013-10-31 02:42:08.000,2021-10-20 10:08:48.000000,2020-12-31 13:27:01,120.0,,617.0,87.0,29.0,25.0,52.0,2382.0,This library provides common speech features for ASR including MFCCs and filterbank energies.,19.0,25,False,2020-01-14 14:12:10.000,0.6.1,6.0,python_speech_features,,,,,865.0,811.0,https://pypi.org/project/python_speech_features,2017-08-16 01:46:13.000,54.0,21021.0,21021.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +504,Pillow-SIMD,uploadcare/pillow-simd,image,,https://github.com/uploadcare/pillow-simd,https://github.com/uploadcare/pillow-simd,PIL,2014-11-12 15:33:02.000,2024-10-07 11:50:22.000000,2024-09-23 17:14:22,14660.0,,86.0,41.0,59.0,13.0,78.0,2192.0,The friendly PIL fork.,434.0,25,False,,,72.0,pillow-simd,,,,,65.0,,https://pypi.org/project/pillow-simd,2024-09-23 18:27:59.000,65.0,17421.0,17421.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +505,PyFlux,RJT1990/pyflux,time-series-data,,https://github.com/RJT1990/pyflux,https://github.com/RJT1990/pyflux,BSD-3-Clause,2016-02-16 20:12:02.000,2023-10-24 16:13:23.000000,2018-12-16 15:30:13,118.0,,240.0,70.0,21.0,93.0,66.0,2113.0,Open source time series library for Python.,6.0,25,False,2017-11-21 16:27:06.000,0.4.16,36.0,pyflux,,,,,283.0,279.0,https://pypi.org/project/pyflux,2017-11-21 16:27:06.000,4.0,93680.0,93680.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +506,Hivemind,learning-at-home/hivemind,distributed-ml,,https://github.com/learning-at-home/hivemind,https://github.com/learning-at-home/hivemind,MIT,2020-02-27 13:50:19.000,2024-12-14 15:17:29.000000,2024-11-05 08:39:28,583.0,5.0,168.0,56.0,475.0,81.0,104.0,2095.0,Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.,33.0,25,True,2023-08-31 20:07:52.000,1.1.10,27.0,hivemind,,,,,124.0,114.0,https://pypi.org/project/hivemind,2023-08-31 20:07:10.000,10.0,1296.0,1296.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +507,TensorFlow Privacy,tensorflow/privacy,privacy-ml,,https://github.com/tensorflow/privacy,https://github.com/tensorflow/privacy,Apache-2.0,2018-12-21 18:46:46.000,2025-01-08 23:54:53.000000,2024-11-25 23:57:34,891.0,3.0,444.0,60.0,363.0,117.0,93.0,1947.0,Library for training machine learning models with privacy for training data.,59.0,25,True,2024-02-14 19:18:00.000,0.9.0,31.0,tensorflow-privacy,,,,['tensorflow'],21.0,,https://pypi.org/project/tensorflow-privacy,2024-02-14 19:08:50.000,21.0,15714.0,15716.0,,,,,,,,2.0,184.0,,,,,,,,,,,,,,,,,,, +508,Feature Engine,solegalli/feature_engine,others,,https://github.com/solegalli/feature_engine,https://github.com/solegalli/feature_engine,BSD-3-Clause,2020-08-06 19:43:35.639,2024-11-03 09:08:45.000000,2024-08-31 13:01:11,360.0,,312.0,1.0,1.0,1.0,,1923.0,Feature engineering package with sklearn like functionality.,49.0,25,True,2024-11-03 09:08:45.000,1.8.2,42.0,feature_engine,conda-forge/feature_engine,,,,166.0,,https://pypi.org/project/feature_engine,2024-11-03 09:08:45.000,166.0,177119.0,178306.0,https://anaconda.org/conda-forge/feature_engine,2024-09-01 13:51:20.563,62914.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +509,garage,rlworkgroup/garage,reinforcement-learning,,https://github.com/rlworkgroup/garage,https://github.com/rlworkgroup/garage,MIT,2018-06-10 21:31:23.000,2023-05-04 14:44:22.000000,2023-01-04 06:06:27,1221.0,,310.0,56.0,1313.0,235.0,810.0,1906.0,A toolkit for reproducible reinforcement learning research.,79.0,25,False,2021-03-23 22:18:36.000,2021.3.0,21.0,garage,,,,['tensorflow'],121.0,117.0,https://pypi.org/project/garage,2021-03-23 22:18:36.000,4.0,896.0,896.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +510,TF Recommenders,tensorflow/recommenders,recommender-systems,,https://github.com/tensorflow/recommenders,https://github.com/tensorflow/recommenders,Apache-2.0,2020-06-26 21:38:01.000,2024-12-05 06:01:33.000000,2024-12-05 06:01:28,372.0,5.0,281.0,50.0,328.0,269.0,184.0,1884.0,TensorFlow Recommenders is a library for building recommender system models using TensorFlow.,43.0,25,True,2023-02-03 02:17:00.422,0.7.3,16.0,tensorflow-recommenders,,,,['tensorflow'],2.0,,https://pypi.org/project/tensorflow-recommenders,2023-02-03 02:17:00.422,2.0,257163.0,257163.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +511,HyperTools,ContextLab/hypertools,data-viz,,https://github.com/ContextLab/hypertools,https://github.com/ContextLab/hypertools,MIT,2016-09-27 21:31:25.000,2024-03-19 21:59:57.000000,2024-03-19 21:59:57,1652.0,,160.0,60.0,68.0,67.0,130.0,1829.0,A Python toolbox for gaining geometric insights into high-dimensional data.,22.0,25,True,2022-02-12 03:29:55.000,0.8.0,21.0,hypertools,,,,,497.0,495.0,https://pypi.org/project/hypertools,2022-02-12 02:43:24.000,2.0,734.0,734.0,,,,,,,,3.0,62.0,,,,,,,,,,,,,,,,,,, +512,AutoViz,AutoViML/AutoViz,data-viz,,https://github.com/AutoViML/AutoViz,https://github.com/AutoViML/AutoViz,Apache-2.0,2019-07-17 17:14:06.000,2024-06-10 12:09:16.000000,2024-06-10 12:07:33,223.0,,197.0,34.0,20.0,4.0,91.0,1760.0,"Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators..",17.0,25,True,2024-06-10 12:09:16.000,0.1.905,90.0,autoviz,conda-forge/autoviz,,,,811.0,800.0,https://pypi.org/project/autoviz,2024-06-10 12:09:16.000,11.0,15579.0,17354.0,https://anaconda.org/conda-forge/autoviz,2024-04-26 17:50:17.078,72789.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +513,TNT,pytorch/tnt,ml-experiments,,https://github.com/pytorch/tnt,https://github.com/pytorch/tnt,BSD-3-Clause,2016-12-10 11:49:58.000,2025-01-08 17:56:06.000000,2025-01-08 17:48:30,1042.0,33.0,276.0,43.0,885.0,85.0,66.0,1673.0,A lightweight library for PyTorch training tools and utilities.,142.0,25,True,2018-07-29 23:16:03.000,0.0.4,3.0,torchnet,,,,['pytorch'],24.0,,https://pypi.org/project/torchnet,2018-07-29 23:16:03.000,24.0,4132.0,4132.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +514,torch-scatter,rusty1s/pytorch_scatter,pytorch-utils,,https://github.com/rusty1s/pytorch_scatter,https://github.com/rusty1s/pytorch_scatter,MIT,2017-12-16 16:34:23.000,2024-12-02 05:44:37.000000,2024-12-02 05:44:37,1038.0,2.0,181.0,17.0,76.0,27.0,369.0,1586.0,PyTorch Extension Library of Optimized Scatter Operations.,31.0,25,True,2023-10-06 08:49:07.000,2.1.2,32.0,torch-scatter,conda-forge/pytorch_scatter,,,['pytorch'],152.0,,https://pypi.org/project/torch-scatter,2023-10-06 08:49:07.000,152.0,33862.0,44960.0,https://anaconda.org/conda-forge/pytorch_scatter,2024-11-05 09:02:23.775,610418.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +515,Elephas,maxpumperla/elephas,distributed-ml,,https://github.com/maxpumperla/elephas,https://github.com/maxpumperla/elephas,MIT,2015-08-13 12:09:19.000,2024-12-04 03:48:36.000000,2022-08-31 01:52:51,509.0,,308.0,102.0,49.0,8.0,151.0,1574.0,Distributed Deep learning with Keras & Spark.,27.0,25,False,2024-12-04 03:48:36.000,6.2.1,46.0,elephas,conda-forge/elephas,,,"['keras', 'spark']",,,https://pypi.org/project/elephas,2024-12-04 03:48:36.000,,35387.0,35635.0,https://anaconda.org/conda-forge/elephas,2023-06-16 16:16:35.554,16131.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +516,EfficientNets,rwightman/gen-efficientnet-pytorch,pytorch-utils,,https://github.com/rwightman/gen-efficientnet-pytorch,https://github.com/rwightman/gen-efficientnet-pytorch,Apache-2.0,2019-05-11 19:35:56.000,2024-06-13 23:15:42.000000,2024-06-13 23:15:42,109.0,,214.0,43.0,12.0,4.0,51.0,1569.0,"Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS.",5.0,25,True,2021-07-08 19:05:05.000,1.0.2,10.0,geffnet,,,,['pytorch'],278.0,274.0,https://pypi.org/project/geffnet,2021-07-08 19:05:05.000,4.0,160256.0,160256.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +517,Pytorch Toolbelt,BloodAxe/pytorch-toolbelt,pytorch-utils,,https://github.com/BloodAxe/pytorch-toolbelt,https://github.com/BloodAxe/pytorch-toolbelt,MIT,2019-03-15 16:02:49.000,2024-11-21 20:06:59.000000,2024-11-21 19:30:50,1226.0,12.0,122.0,29.0,73.0,4.0,29.0,1523.0,PyTorch extensions for fast R&D prototyping and Kaggle farming.,8.0,25,True,2024-11-21 20:06:59.000,0.8.0,30.0,pytorch_toolbelt,,,,['pytorch'],12.0,,https://pypi.org/project/pytorch_toolbelt,2024-11-21 20:06:59.000,12.0,5757.0,5758.0,,,,,,,,2.0,127.0,,,,,,,,,,,,,,,,,,, +518,underthesea,undertheseanlp/underthesea,nlp,,https://github.com/undertheseanlp/underthesea,https://github.com/undertheseanlp/underthesea,GPL-3.0,2017-03-01 10:24:26.000,2024-10-27 05:01:35.000000,2024-10-27 05:01:33,863.0,1.0,271.0,81.0,493.0,53.0,207.0,1446.0,Underthesea - Vietnamese NLP Toolkit.,19.0,25,False,2024-06-22 10:18:00.000,6.8.4,127.0,underthesea,,,,,1370.0,1359.0,https://pypi.org/project/underthesea,2024-06-22 10:18:00.000,11.0,21605.0,21687.0,,,,,,,,3.0,7588.0,,,,,,,,,,,,,,,,,,, +519,pytorch_tabular,manujosephv/pytorch_tabular,tabular,,https://github.com/manujosephv/pytorch_tabular,https://github.com/manujosephv/pytorch_tabular,MIT,2020-12-15 07:17:03.000,2025-01-07 01:41:39.000000,2024-12-18 07:37:03,584.0,21.0,142.0,21.0,329.0,10.0,152.0,1425.0,A standard framework for modelling Deep Learning Models for tabular data.,25.0,25,True,2024-11-29 01:07:50.000,1.1.1,13.0,pytorch_tabular,,,,['pytorch'],9.0,,https://pypi.org/project/pytorch_tabular,2024-11-28 05:14:21.000,9.0,3894.0,3895.0,,,,,,,,1.0,53.0,,,,,,,,,,,,,,,,,,, +520,keras-ocr,faustomorales/keras-ocr,ocr,,https://github.com/faustomorales/keras-ocr,https://github.com/faustomorales/keras-ocr,MIT,2019-09-20 23:08:50.000,2024-08-01 05:16:36.000000,2023-11-06 15:20:05,206.0,,332.0,49.0,44.0,102.0,115.0,1412.0,A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.,18.0,25,False,2023-11-06 16:35:44.000,0.9.3,33.0,keras-ocr,anaconda/keras-ocr,,,['tensorflow'],626.0,618.0,https://pypi.org/project/keras-ocr,2023-11-06 16:35:44.000,8.0,16504.0,51711.0,https://anaconda.org/anaconda/keras-ocr,2023-06-16 19:23:39.693,348.0,,,,,3.0,1830466.0,,,,,,,,,,,,,,,,,,, +521,NiftyNet,NifTK/NiftyNet,medical-data,,https://github.com/NifTK/NiftyNet,https://github.com/NifTK/NiftyNet,Apache-2.0,2017-08-30 07:55:43.000,2020-04-21 19:54:52.000000,2020-04-21 19:54:51,3284.0,,404.0,90.0,165.0,103.0,224.0,1368.0,[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-..,61.0,25,False,2019-10-10 10:59:33.000,0.6.0,11.0,niftynet,,,,['tensorflow'],46.0,46.0,https://pypi.org/project/niftynet,2019-10-10 10:59:33.000,,219.0,219.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +522,iNNvestigate,albermax/innvestigate,interpretability,,https://github.com/albermax/innvestigate,https://github.com/albermax/innvestigate,BSD-2-Clause,2017-12-13 18:11:20.000,2023-12-20 21:48:32.000000,2023-10-12 14:56:47,1107.0,,235.0,34.0,68.0,57.0,206.0,1274.0,A toolbox to iNNvestigate neural networks predictions!.,22.0,25,False,2023-10-12 14:58:48.000,2.1.2,8.0,innvestigate,,,,['tensorflow'],146.0,144.0,https://pypi.org/project/innvestigate,2023-10-12 14:55:59.000,2.0,751.0,756.0,,,,,,,,3.0,171.0,,,,,,,,,,,,,,,,,,, +523,metricflow,transform-data/metricflow,others,,https://github.com/dbt-labs/metricflow,https://github.com/dbt-labs/metricflow,,2022-04-04 18:33:06.000,2025-01-09 01:10:10.000000,2024-12-21 02:32:10,2629.0,83.0,97.0,20.0,1237.0,93.0,241.0,1166.0,"MetricFlow allows you to define, build, and maintain metrics in code.",46.0,25,False,2024-06-11 22:06:04.000,0.206.0,88.0,metricflow,,,,,32.0,28.0,https://pypi.org/project/metricflow,2024-07-09 00:14:45.000,4.0,22523.0,22523.0,,,,,,,,3.0,,,dbt-labs/metricflow,,,,,,,,,,,,,,,,, +524,GPUtil,anderskm/gputil,gpu-utilities,,https://github.com/anderskm/gputil,https://github.com/anderskm/gputil,MIT,2017-01-16 11:57:43.000,2024-04-13 14:07:28.000000,2019-08-16 09:00:15,140.0,,120.0,11.0,23.0,29.0,16.0,1160.0,A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python.,14.0,25,False,2018-12-18 09:12:13.000,1.4.0,8.0,gputil,,,,,7354.0,6882.0,https://pypi.org/project/gputil,2018-12-18 09:12:13.000,472.0,494057.0,494057.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +525,Plotly-Resampler,predict-idlab/plotly-resampler,data-viz,,https://github.com/predict-idlab/plotly-resampler,https://github.com/predict-idlab/plotly-resampler,MIT,2021-11-20 10:51:56.000,2024-12-15 20:03:00.000000,2024-12-15 20:03:00,796.0,5.0,69.0,17.0,133.0,56.0,117.0,1061.0,Visualize large time series data with plotly.py.,14.0,25,True,2024-03-27 07:58:10.000,0.10.0,62.0,plotly-resampler,conda-forge/plotly-resampler,,,,1655.0,1631.0,https://pypi.org/project/plotly-resampler,2024-03-27 07:54:02.000,24.0,379719.0,382038.0,https://anaconda.org/conda-forge/plotly-resampler,2024-12-05 23:08:14.776,83509.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +526,GPyOpt,SheffieldML/GPyOpt,hyperopt,,https://github.com/SheffieldML/GPyOpt,https://github.com/SheffieldML/GPyOpt,BSD-3-Clause,2014-08-13 09:58:25.000,2023-01-17 18:04:41.000000,2023-01-17 18:04:41,515.0,,261.0,44.0,72.0,104.0,188.0,933.0,Gaussian Process Optimization using GPy.,50.0,25,False,2020-03-19 21:21:18.000,1.2.6,11.0,gpyopt,,,,,586.0,549.0,https://pypi.org/project/gpyopt,2020-03-19 11:37:45.000,37.0,5895.0,5895.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +527,python-ternary,marcharper/python-ternary,data-viz,,https://github.com/marcharper/python-ternary,https://github.com/marcharper/python-ternary,MIT,2012-08-07 23:48:55.000,2025-01-03 15:22:16.978000,2024-06-12 05:36:27,401.0,,156.0,17.0,73.0,35.0,110.0,745.0,Ternary plotting library for python with matplotlib.,28.0,25,True,2021-02-17 18:38:15.000,1.0.8,11.0,python-ternary,conda-forge/python-ternary,,,,232.0,200.0,https://pypi.org/project/python-ternary,2021-02-17 18:38:15.000,32.0,14172.0,16193.0,https://anaconda.org/conda-forge/python-ternary,2025-01-03 15:22:16.978,95005.0,,,,,3.0,35.0,,,,,,,,,,,,,,,,,,, +528,NeuPy,itdxer/neupy,ml-frameworks,,https://github.com/itdxer/neupy,https://github.com/itdxer/neupy,MIT,2015-08-24 19:45:11.000,2024-11-18 15:00:19.000000,2023-01-03 21:24:56,1146.0,,158.0,33.0,25.0,35.0,236.0,738.0,NeuPy is a Tensorflow based python library for prototyping and building neural networks.,8.0,25,False,2019-04-04 19:44:59.000,0.8.2,34.0,neupy,,,,,185.0,181.0,https://pypi.org/project/neupy,2019-04-04 19:43:06.000,4.0,2664.0,2664.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +529,quinn,MrPowers/quinn,ml-experiments,,https://github.com/mrpowers-io/quinn,https://github.com/mrpowers-io/quinn,Apache-2.0,2017-09-15 13:02:42.000,2024-12-06 11:29:54.000000,2024-12-06 11:28:50,368.0,3.0,98.0,20.0,147.0,36.0,94.0,655.0,pyspark methods to enhance developer productivity.,31.0,25,True,2024-02-13 12:31:37.000,0.10.3,16.0,quinn,,,,['spark'],96.0,89.0,https://pypi.org/project/quinn,2024-02-13 12:31:37.000,7.0,642118.0,642118.0,,,,,,,,3.0,53.0,,mrpowers-io/quinn,,,,,,,,,,,,,,,,, +530,FEDOT,nccr-itmo/FEDOT,hyperopt,,https://github.com/aimclub/FEDOT,https://github.com/aimclub/FEDOT,BSD-3-Clause,2020-01-13 12:48:37.000,2025-01-08 17:17:44.000000,2025-01-08 17:17:44,908.0,11.0,88.0,12.0,776.0,60.0,493.0,650.0,Automated modeling and machine learning framework FEDOT.,37.0,25,True,2024-08-28 11:07:57.000,0.7.4,23.0,fedot,,,,,60.0,55.0,https://pypi.org/project/fedot,2024-08-28 10:34:09.000,5.0,1213.0,1213.0,,,,,,,,2.0,,,aimclub/FEDOT,,,,,,,,,,,,,,,,, +531,findspark,minrk/findspark,others,,https://github.com/minrk/findspark,https://github.com/minrk/findspark,BSD-3-Clause,2015-06-12 21:34:06.000,2025-01-03 16:21:31.009000,2022-02-11 07:59:35,77.0,,72.0,8.0,17.0,11.0,12.0,514.0,Find pyspark to make it importable.,15.0,25,False,2022-02-11 08:02:06.000,2.0.1,14.0,findspark,conda-forge/findspark,,,['spark'],5166.0,5063.0,https://pypi.org/project/findspark,2022-02-11 08:02:06.000,103.0,1916039.0,1942000.0,https://anaconda.org/conda-forge/findspark,2025-01-03 16:21:31.009,934619.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +532,pymap3d,geospace-code/pymap3d,geospatial-data,,https://github.com/geospace-code/pymap3d,https://github.com/geospace-code/pymap3d,BSD-2-Clause,2014-08-03 04:28:03.000,2025-01-08 06:04:06.000000,2025-01-08 06:03:58,776.0,10.0,87.0,13.0,31.0,9.0,51.0,400.0,pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci.,19.0,25,True,2024-02-11 00:59:05.000,3.1.0,58.0,pymap3d,conda-forge/pymap3d,,,,506.0,462.0,https://pypi.org/project/pymap3d,2024-02-11 00:59:05.000,44.0,196152.0,197866.0,https://anaconda.org/conda-forge/pymap3d,2024-12-25 07:49:33.909,89158.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +533,NIPY,nipy/nipy,medical-data,,https://github.com/nipy/nipy,https://github.com/nipy/nipy,,2010-05-02 10:00:33.000,2024-12-24 16:12:08.000000,2024-12-24 16:12:08,6798.0,3.0,145.0,35.0,414.0,37.0,141.0,384.0,Neuroimaging in Python FMRI analysis package.,71.0,25,False,2024-10-06 19:42:32.000,0.6.1,9.0,nipy,conda-forge/nipy,,,,262.0,238.0,https://pypi.org/project/nipy,2024-10-06 19:42:32.000,24.0,3054.0,25554.0,https://anaconda.org/conda-forge/nipy,2024-07-28 17:27:34.085,135005.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +534,gokart,m3dev/gokart,ml-experiments,,https://github.com/m3dev/gokart,https://github.com/m3dev/gokart,MIT,2018-12-23 07:40:27.000,2025-01-09 01:12:18.000000,2025-01-09 01:12:17,582.0,15.0,60.0,43.0,341.0,22.0,63.0,319.0,"Gokart solves reproducibility, task dependencies, constraints of good code, and ease of use for Machine Learning..",42.0,25,True,2024-12-02 06:12:47.000,1.8.0,86.0,gokart,,,,,92.0,84.0,https://pypi.org/project/gokart,2024-12-02 06:12:47.000,8.0,4033.0,4033.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +535,lkpy,lenskit/lkpy,recommender-systems,,https://github.com/lenskit/lkpy,https://github.com/lenskit/lkpy,MIT,2018-06-08 21:05:10.000,2025-01-09 00:13:55.000000,2025-01-08 20:29:04,4395.0,687.0,62.0,7.0,412.0,51.0,122.0,273.0,Python recommendation toolkit.,16.0,25,False,2024-02-16 21:04:30.000,0.14.4,28.0,lenskit,conda-forge/lenskit,,,,137.0,124.0,https://pypi.org/project/lenskit,2025-01-07 14:53:04.000,13.0,1356.0,2117.0,https://anaconda.org/conda-forge/lenskit,2024-12-30 17:12:36.573,38078.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +536,ridgeplot,tpvasconcelos/ridgeplot,data-viz,,https://github.com/tpvasconcelos/ridgeplot,https://github.com/tpvasconcelos/ridgeplot,MIT,2021-01-21 18:21:30.000,2025-01-06 16:35:05.000000,2025-01-06 16:35:03,1047.0,380.0,8.0,5.0,249.0,13.0,39.0,202.0,Beautiful ridgeline plots in Python.,4.0,25,False,2024-12-24 18:09:19.000,0.3.1,29.0,ridgeplot,,,https://ridgeplot.readthedocs.io/,,170.0,165.0,https://pypi.org/project/ridgeplot,2024-12-24 18:08:30.000,5.0,30828.0,30828.0,,,,,,,,3.0,27.0,,,,,,,,,,,,,,,,,,, +537,FATE,FederatedAI/FATE,privacy-ml,,https://github.com/FederatedAI/FATE,https://github.com/FederatedAI/FATE,Apache-2.0,2019-01-24 10:32:43.000,2024-11-19 08:19:11.000000,2024-11-19 08:19:11,13850.0,11.0,1551.0,137.0,3625.0,73.0,1987.0,5778.0,An Industrial Grade Federated Learning Framework.,101.0,24,True,2024-07-31 11:47:02.000,2.2.0,51.0,ETAF,,,,,,,https://pypi.org/project/ETAF,2020-05-06 09:35:40.000,,1.0,1.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +538,MMF,facebookresearch/mmf,image,,https://github.com/facebookresearch/mmf,https://github.com/facebookresearch/mmf,BSD-3-Clause,2018-06-27 04:52:40.000,2024-11-15 22:48:39.000000,2024-11-15 22:43:22,1099.0,2.0,924.0,114.0,676.0,146.0,543.0,5519.0,A modular framework for vision & language multimodal research from Facebook AI Research (FAIR).,119.0,24,True,2019-08-26 19:04:21.000,0.3.1,12.0,mmf,,,,['pytorch'],22.0,21.0,https://pypi.org/project/mmf,2020-06-12 22:15:02.000,1.0,696.0,696.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +539,AugLy,facebookresearch/AugLy,others,,https://github.com/facebookresearch/AugLy,https://github.com/facebookresearch/AugLy,MIT,2021-06-09 17:57:28.000,2024-11-21 01:10:14.000000,2024-11-21 01:04:51,225.0,2.0,301.0,80.0,180.0,24.0,54.0,4981.0,"A data augmentations library for audio, image, text, and video.",38.0,24,True,2023-12-05 20:52:12.000,1.0.1,18.0,augly,,,,,165.0,161.0,https://pypi.org/project/augly,2023-12-05 20:52:12.000,4.0,3306.0,3306.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +540,textgenrnn,minimaxir/textgenrnn,nlp,,https://github.com/minimaxir/textgenrnn,https://github.com/minimaxir/textgenrnn,MIT,2017-08-07 02:13:37.000,2022-07-17 19:07:49.000000,2020-07-14 02:41:10,174.0,,749.0,136.0,43.0,141.0,98.0,4935.0,Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines..,19.0,24,False,2020-02-03 01:07:00.000,2.0.0,14.0,textgenrnn,,,,['tensorflow'],1165.0,1149.0,https://pypi.org/project/textgenrnn,2020-02-02 21:16:15.000,16.0,679.0,691.0,,,,,,,,3.0,981.0,,,,,,,,,,,,,,,,,,, +541,segmentation_models,qubvel/segmentation_models,image,,https://github.com/qubvel/segmentation_models,https://github.com/qubvel/segmentation_models,MIT,2018-06-05 13:27:56.000,2024-08-21 11:16:16.000000,2024-08-21 11:16:16,206.0,,1032.0,92.0,64.0,271.0,270.0,4789.0,Segmentation models with pretrained backbones. Keras and TensorFlow Keras.,15.0,24,True,2020-01-10 11:36:02.000,1.0.1,8.0,segmentation_models,,,,['tensorflow'],28.0,,https://pypi.org/project/segmentation_models,2020-01-10 11:36:02.000,28.0,23427.0,23427.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +542,PyAlgoTrade,gbeced/pyalgotrade,financial-data,,https://github.com/gbeced/pyalgotrade,https://github.com/gbeced/pyalgotrade,Apache-2.0,2012-03-07 01:09:54.000,2023-11-13 07:16:00.000000,2023-03-05 22:07:59,1158.0,,1385.0,356.0,59.0,51.0,,4461.0,Python Algorithmic Trading Library.,11.0,24,False,,,8.0,pyalgotrade,,,,,198.0,198.0,https://pypi.org/project/pyalgotrade,2018-08-21 01:48:25.000,,848.0,848.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +543,Stable Baselines,hill-a/stable-baselines,reinforcement-learning,,https://github.com/hill-a/stable-baselines,https://github.com/hill-a/stable-baselines,MIT,2018-07-02 14:28:59.000,2022-09-04 14:04:44.000000,2022-09-04 14:04:44,839.0,,727.0,62.0,247.0,130.0,824.0,4194.0,"A fork of OpenAI Baselines, implementations of reinforcement learning algorithms.",114.0,24,False,2021-04-06 12:38:10.521,2.10.2,31.0,stable-baselines,,,,,21.0,,https://pypi.org/project/stable-baselines,2021-04-06 12:38:10.521,21.0,3745.0,3745.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +544,MatchZoo,NTMC-Community/MatchZoo,nlp,,https://github.com/NTMC-Community/MatchZoo,https://github.com/NTMC-Community/MatchZoo,Apache-2.0,2017-06-08 08:55:22.000,2024-08-02 16:23:45.000000,2021-06-02 17:38:16,1810.0,,897.0,176.0,386.0,34.0,430.0,3848.0,"Facilitating the design, comparison and sharing of deep text matching models.",37.0,24,False,2019-10-24 13:09:11.000,2.2.0,5.0,matchzoo,,,,['tensorflow'],18.0,18.0,https://pypi.org/project/matchzoo,2019-10-24 13:09:11.000,,94.0,94.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +545,AdaNet,tensorflow/adanet,hyperopt,,https://github.com/tensorflow/adanet,https://github.com/tensorflow/adanet,Apache-2.0,2018-06-28 20:20:24.000,2023-11-30 16:30:21.000000,2021-08-30 19:33:24,440.0,,527.0,171.0,50.0,67.0,49.0,3469.0,Fast and flexible AutoML with learning guarantees.,27.0,24,False,2020-07-09 21:03:28.000,0.9.0,13.0,adanet,,,,['tensorflow'],64.0,62.0,https://pypi.org/project/adanet,2020-07-09 21:03:28.000,2.0,539.0,539.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +546,Towhee,towhee-io/towhee,ml-frameworks,,https://github.com/towhee-io/towhee,https://github.com/towhee-io/towhee,Apache-2.0,2021-07-13 08:28:50.000,2024-10-18 00:01:12.000000,2024-10-18 00:01:11,1586.0,4.0,253.0,29.0,2020.0,3.0,666.0,3278.0,Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.,38.0,24,True,2023-12-05 02:33:36.000,1.1.3,26.0,towhee,,,,,,,https://pypi.org/project/towhee,2023-12-04 07:25:10.000,,19329.0,19402.0,,,,,,,,3.0,2730.0,,,,,,,,,,,,,,,,,,, +547,xLearn,aksnzhy/xlearn,ml-frameworks,,https://github.com/aksnzhy/xlearn,https://github.com/aksnzhy/xlearn,Apache-2.0,2017-06-10 08:09:31.000,2023-08-28 05:14:10.000000,2022-06-05 10:44:18,1342.0,,528.0,111.0,73.0,193.0,118.0,3086.0,"High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization..",30.0,24,False,2019-04-25 02:10:05.000,0.4.4,15.0,xlearn,,,,,170.0,158.0,https://pypi.org/project/xlearn,2018-12-04 11:05:06.000,12.0,632.0,690.0,,,,,,,,3.0,4757.0,,,,,,,,,,,,,,,,,,, +548,keras-vis,raghakot/keras-vis,interpretability,,https://github.com/raghakot/keras-vis,https://github.com/raghakot/keras-vis,MIT,2016-11-11 23:27:34.000,2022-02-07 16:06:07.000000,2020-04-20 01:03:12,195.0,,661.0,70.0,25.0,117.0,101.0,2988.0,Neural network visualization toolkit for keras.,10.0,24,False,2017-07-06 05:11:22.255,0.4.1,11.0,keras-vis,,,,['tensorflow'],3009.0,3008.0,https://pypi.org/project/keras-vis,2017-07-06 05:11:22.255,1.0,928.0,928.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +549,DDSP,magenta/ddsp,audio,,https://github.com/magenta/ddsp,https://github.com/magenta/ddsp,Apache-2.0,2020-01-14 18:38:27.000,2024-09-23 16:30:28.000000,2024-09-23 16:30:23,472.0,,335.0,65.0,319.0,50.0,124.0,2945.0,DDSP: Differentiable Digital Signal Processing.,32.0,24,True,2023-05-25 02:30:41.654,3.7.0,55.0,ddsp,conda-forge/ddsp,,,['tensorflow'],63.0,62.0,https://pypi.org/project/ddsp,2022-05-25 17:42:19.000,1.0,3326.0,3687.0,https://anaconda.org/conda-forge/ddsp,2023-06-16 19:19:34.916,19891.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +550,ffcv,libffcv/ffcv,image,,https://github.com/libffcv/ffcv,https://github.com/libffcv/ffcv,Apache-2.0,2021-10-13 17:03:39.000,2024-06-16 15:59:22.000000,2024-05-06 14:20:38,944.0,,179.0,21.0,79.0,112.0,179.0,2879.0,FFCV: Fast Forward Computer Vision (and other ML workloads!).,31.0,24,True,2023-03-05 05:44:00.314,1.0.2,7.0,ffcv,,,,,60.0,59.0,https://pypi.org/project/ffcv,2022-01-28 20:40:22.000,1.0,991.0,991.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +551,HiPlot,facebookresearch/hiplot,data-viz,,https://github.com/facebookresearch/hiplot,https://github.com/facebookresearch/hiplot,MIT,2019-11-08 13:06:41.000,2024-01-10 07:43:27.000000,2023-07-19 07:40:10,212.0,,144.0,28.0,200.0,20.0,73.0,2776.0,HiPlot makes understanding high dimensional data easy.,9.0,24,False,2022-05-31 09:00:35.000,0.1.33,113.0,hiplot,conda-forge/hiplot,,,,496.0,470.0,https://pypi.org/project/hiplot,2022-07-05 08:51:12.000,26.0,26817.0,30527.0,https://anaconda.org/conda-forge/hiplot,2023-06-16 19:18:10.488,218909.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +552,promptsource,bigscience-workshop/promptsource,nlp,,https://github.com/bigscience-workshop/promptsource,https://github.com/bigscience-workshop/promptsource,Apache-2.0,2021-05-19 15:26:25.000,2023-10-23 17:59:41.000000,2023-10-23 17:59:40,755.0,,352.0,34.0,695.0,43.0,151.0,2738.0,"Toolkit for creating, sharing and using natural language prompts.",65.0,24,False,2022-07-02 17:57:17.000,0.2.3,5.0,promptsource,,,,,120.0,116.0,https://pypi.org/project/promptsource,2022-04-18 22:31:03.000,4.0,214.0,214.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +553,pytorch_geometric_temporal,benedekrozemberczki/pytorch_geometric_temporal,graph,,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,MIT,2020-06-27 01:11:33.000,2024-10-14 19:46:14.000000,2024-10-14 19:46:14,1949.0,6.0,375.0,39.0,96.0,41.0,158.0,2710.0,PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021).,34.0,24,True,2022-09-04 16:37:07.000,0.54.0,46.0,torch-geometric-temporal,,,,['pytorch'],7.0,,https://pypi.org/project/torch-geometric-temporal,2022-09-04 16:10:00.738,7.0,2392.0,2392.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +554,Mars,mars-project/mars,others,,https://github.com/mars-project/mars,https://github.com/mars-project/mars,Apache-2.0,2018-12-05 16:04:03.000,2024-01-02 10:00:14.000000,2023-11-02 03:13:52,1297.0,,326.0,93.0,2158.0,215.0,982.0,2709.0,"Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and..",53.0,24,False,2023-02-03 19:04:11.785,0.8.1,118.0,pymars,,,,,2.0,,https://pypi.org/project/pymars,2022-06-12 11:43:21.000,2.0,21131.0,21131.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +555,Kashgari,BrikerMan/Kashgari,nlp,,https://github.com/BrikerMan/Kashgari,https://github.com/BrikerMan/Kashgari,Apache-2.0,2019-01-19 01:53:28.000,2024-09-03 21:05:29.000000,2021-07-09 03:57:16,955.0,,438.0,65.0,123.0,32.0,350.0,2394.0,Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-..,21.0,24,False,2021-07-04 10:44:36.000,2.0.2,24.0,kashgari-tf,,,,['tensorflow'],74.0,72.0,https://pypi.org/project/kashgari-tf,2019-10-18 07:57:55.000,2.0,296.0,296.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +556,Neural Tangents,google/neural-tangents,ml-frameworks,,https://github.com/google/neural-tangents,https://github.com/google/neural-tangents,Apache-2.0,2019-04-08 16:48:48.000,2024-03-01 17:17:03.000000,2024-03-01 17:16:56,650.0,,236.0,62.0,32.0,60.0,96.0,2303.0,Fast and Easy Infinite Neural Networks in Python.,29.0,24,True,2023-12-11 14:10:12.000,0.6.5,31.0,neural-tangents,,,,,121.0,120.0,https://pypi.org/project/neural-tangents,2023-12-11 14:00:20.000,1.0,2429.0,2438.0,,,,,,,,3.0,541.0,,,,,,,,,,,,,,,,,,, +557,CausalNex,quantumblacklabs/causalnex,interpretability,,https://github.com/mckinsey/causalnex,https://github.com/mckinsey/causalnex,Apache-2.0,2019-12-12 15:26:09.000,2024-06-26 08:22:56.000000,2024-02-10 10:17:50,226.0,,258.0,52.0,98.0,25.0,116.0,2272.0,A Python library that helps data scientists to infer causation rather than observing correlation.,40.0,24,True,2023-06-22 13:11:59.629,0.12.1,20.0,causalnex,,,,"['pytorch', 'sklearn']",141.0,137.0,https://pypi.org/project/causalnex,2023-06-22 13:11:59.629,4.0,3050.0,3050.0,,,,,,,,3.0,,,mckinsey/causalnex,,,,,,,,,,,,,,,,, +558,pytorch-nlp,PetrochukM/PyTorch-NLP,nlp,,https://github.com/PetrochukM/PyTorch-NLP,https://github.com/PetrochukM/PyTorch-NLP,BSD-3-Clause,2018-02-25 05:00:36.000,2023-07-04 21:11:26.000000,2023-07-04 21:11:26,451.0,,252.0,56.0,56.0,19.0,50.0,2214.0,Basic Utilities for PyTorch Natural Language Processing (NLP).,18.0,24,False,2019-11-04 05:16:00.000,0.5.0,19.0,pytorch-nlp,,,,['pytorch'],767.0,748.0,https://pypi.org/project/pytorch-nlp,2019-11-04 04:35:18.000,19.0,6054.0,6054.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +559,FinTA,peerchemist/finta,financial-data,,https://github.com/peerchemist/finta,https://github.com/peerchemist/finta,LGPL-3.0,2016-09-01 21:02:46.000,2022-07-24 08:40:51.000000,2022-07-24 08:40:51,394.0,,685.0,86.0,48.0,24.0,64.0,2153.0,Common financial technical indicators implemented in Pandas.,28.0,24,False,2021-04-03 08:51:49.000,1.3,19.0,finta,,,,,575.0,563.0,https://pypi.org/project/finta,2020-10-21 11:39:44.000,12.0,33598.0,33598.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +560,checklist,marcotcr/checklist,interpretability,,https://github.com/marcotcr/checklist,https://github.com/marcotcr/checklist,MIT,2020-03-09 17:18:49.000,2024-01-09 01:46:07.000000,2023-09-26 17:27:56,255.0,,203.0,29.0,65.0,11.0,83.0,2021.0,Beyond Accuracy: Behavioral Testing of NLP models with CheckList.,15.0,24,False,2021-05-24 16:45:59.000,0.0.11,10.0,checklist,conda-forge/checklist,,,['jupyter'],381.0,373.0,https://pypi.org/project/checklist,2021-05-24 16:45:59.000,8.0,953.0,1131.0,https://anaconda.org/conda-forge/checklist,2023-06-16 19:24:18.549,8584.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +561,Torchmeta,tristandeleu/pytorch-meta,pytorch-utils,,https://github.com/tristandeleu/pytorch-meta,https://github.com/tristandeleu/pytorch-meta,MIT,2018-12-04 23:36:45.000,2023-07-17 16:05:00.000000,2021-09-20 16:03:46,382.0,,247.0,44.0,33.0,51.0,90.0,2004.0,A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch.,12.0,24,False,2021-09-20 16:06:33.000,1.8.0,28.0,torchmeta,,,,['pytorch'],191.0,191.0,https://pypi.org/project/torchmeta,2021-09-20 16:06:33.000,,4680.0,4680.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +562,Orbit,uber/orbit,probabilistics,,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000,2024-12-24 00:31:46.000000,2024-07-10 23:00:11,927.0,,135.0,35.0,447.0,50.0,354.0,1924.0,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,20.0,24,True,2024-04-01 00:44:51.000,1.1.4.9,36.0,orbit-ml,,,,,65.0,64.0,https://pypi.org/project/orbit-ml,2024-04-01 00:45:19.000,1.0,9344.0,9344.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +563,auto_ml,ClimbsRocks/auto_ml,hyperopt,,https://github.com/ClimbsRocks/auto_ml,https://github.com/ClimbsRocks/auto_ml,MIT,2016-08-07 21:35:08.000,2021-02-10 07:52:35.000000,2018-03-25 19:46:25,1149.0,,310.0,98.0,45.0,188.0,217.0,1642.0,[UNMAINTAINED] Automated machine learning for analytics & production.,14.0,24,False,2018-02-22 01:13:03.000,2.9.10,78.0,auto_ml,,,,,14.0,5.0,https://pypi.org/project/auto_ml,2018-02-22 01:13:03.000,9.0,3502.0,3502.0,,,,,,,,2.0,71.0,,,,,,,,,,,,,,,,,,, +564,sense2vec,explosion/sense2vec,nlp,,https://github.com/explosion/sense2vec,https://github.com/explosion/sense2vec,MIT,2016-01-23 22:15:49.000,2024-03-17 06:23:46.000000,2023-04-20 14:53:46,460.0,,238.0,50.0,50.0,23.0,91.0,1633.0,Contextually-keyed word vectors.,19.0,24,False,2023-04-17 14:14:02.218,2.0.2,24.0,sense2vec,conda-forge/sense2vec,,,,444.0,431.0,https://pypi.org/project/sense2vec,2021-04-19 07:05:28.000,13.0,2186.0,4307.0,https://anaconda.org/conda-forge/sense2vec,2023-09-22 07:25:32.800,53010.0,,,,,3.0,69639.0,,,,,,,,,,,,,,,,,,, +565,Talos,autonomio/talos,hyperopt,,https://github.com/autonomio/talos,https://github.com/autonomio/talos,MIT,2018-05-04 20:36:41.000,2024-04-22 10:30:49.000000,2024-04-22 10:30:48,671.0,,269.0,27.0,187.0,11.0,390.0,1628.0,Hyperparameter Experiments with TensorFlow and Keras.,23.0,24,True,2024-04-21 09:02:06.000,1.4,18.0,talos,,,,['tensorflow'],207.0,199.0,https://pypi.org/project/talos,2024-04-21 09:02:29.000,8.0,1081.0,1081.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +566,CrypTen,facebookresearch/CrypTen,privacy-ml,,https://github.com/facebookresearch/CrypTen,https://github.com/facebookresearch/CrypTen,MIT,2019-08-15 00:00:31.000,2024-11-23 22:25:52.000000,2024-11-23 22:09:12,359.0,2.0,275.0,43.0,257.0,77.0,198.0,1560.0,A framework for Privacy Preserving Machine Learning.,39.0,24,True,2022-12-08 22:11:59.883,0.4.1,3.0,crypten,,,,['pytorch'],48.0,47.0,https://pypi.org/project/crypten,2022-12-08 22:11:59.883,1.0,454.0,454.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +567,fklearn,nubank/fklearn,ml-frameworks,,https://github.com/nubank/fklearn,https://github.com/nubank/fklearn,Apache-2.0,2019-02-27 14:32:57.000,2024-08-14 21:07:18.000000,2024-08-14 20:38:00,159.0,,166.0,105.0,189.0,40.0,25.0,1510.0,fklearn: Functional Machine Learning.,56.0,24,True,2024-08-14 21:07:18.000,4.0.0,34.0,fklearn,,,,,16.0,16.0,https://pypi.org/project/fklearn,2024-08-14 21:07:18.000,,2188.0,2188.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +568,responsible-ai-widgets,microsoft/responsible-ai-toolbox,interpretability,,https://github.com/microsoft/responsible-ai-toolbox,https://github.com/microsoft/responsible-ai-toolbox,MIT,2020-07-06 20:46:53.000,2025-01-07 21:33:56.000000,2025-01-07 21:33:54,1972.0,2.0,370.0,33.0,2284.0,86.0,237.0,1434.0,Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and..,43.0,24,True,2024-07-08 18:03:34.000,0.36.0,57.0,raiwidgets,,,,"['pytorch', 'tensorflow', 'jupyter']",6.0,,https://pypi.org/project/raiwidgets,2024-07-08 16:42:42.000,6.0,7303.0,7303.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +569,RLax,deepmind/rlax,reinforcement-learning,,https://github.com/google-deepmind/rlax,https://github.com/google-deepmind/rlax,Apache-2.0,2020-02-18 07:14:59.000,2024-09-24 21:15:08.000000,2024-05-24 12:07:18,209.0,,89.0,34.0,111.0,8.0,18.0,1274.0,A library of reinforcement learning building blocks in JAX.,21.0,24,True,2023-06-29 15:05:00.621,0.1.6,10.0,rlax,,,,['jax'],300.0,289.0,https://pypi.org/project/rlax,2023-01-09 22:29:35.947,11.0,18647.0,18647.0,,,,,,,,3.0,,,google-deepmind/rlax,,,,,,,,,,,,,,,,, +570,Node2Vec,eliorc/node2vec,graph,,https://github.com/eliorc/node2vec,https://github.com/eliorc/node2vec,MIT,2017-12-08 13:30:06.000,2024-08-02 11:14:24.000000,2024-08-02 11:14:21,90.0,,247.0,20.0,23.0,5.0,88.0,1256.0,Implementation of the node2vec algorithm.,16.0,24,True,2024-08-02 11:13:59.000,0.5.0,19.0,node2vec,conda-forge/node2vec,,,,798.0,767.0,https://pypi.org/project/node2vec,2024-08-02 11:12:23.000,31.0,15918.0,16326.0,https://anaconda.org/conda-forge/node2vec,2023-06-16 16:13:35.056,32700.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +571,TFEncrypted,tf-encrypted/tf-encrypted,privacy-ml,,https://github.com/tf-encrypted/tf-encrypted,https://github.com/tf-encrypted/tf-encrypted,Apache-2.0,2018-03-21 18:22:13.000,2024-09-25 05:32:38.000000,2024-09-25 05:32:38,605.0,,214.0,53.0,461.0,145.0,296.0,1218.0,A Framework for Encrypted Machine Learning in TensorFlow.,29.0,24,True,2023-02-08 02:53:00.720,0.9.1,41.0,tf-encrypted,,,,['tensorflow'],77.0,68.0,https://pypi.org/project/tf-encrypted,2022-11-16 09:12:55.841,9.0,956.0,956.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +572,ChainerRL,chainer/chainerrl,reinforcement-learning,,https://github.com/chainer/chainerrl,https://github.com/chainer/chainerrl,MIT,2017-01-30 04:58:15.000,2021-08-10 18:25:48.000000,2021-04-17 06:02:30,3471.0,,222.0,70.0,415.0,75.0,147.0,1180.0,ChainerRL is a deep reinforcement learning library built on top of Chainer.,28.0,24,False,2020-02-14 05:35:56.000,0.8.0,10.0,chainerrl,,,,,181.0,176.0,https://pypi.org/project/chainerrl,2020-02-14 05:35:56.000,5.0,409.0,409.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +573,PyTorch Sparse,rusty1s/pytorch_sparse,pytorch-utils,,https://github.com/rusty1s/pytorch_sparse,https://github.com/rusty1s/pytorch_sparse,MIT,2018-07-28 18:46:53.000,2024-11-12 11:59:17.000000,2024-11-12 11:59:15,734.0,1.0,149.0,15.0,108.0,30.0,256.0,1025.0,PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations.,45.0,24,True,2023-10-06 08:51:55.000,0.6.18,31.0,torch-sparse,conda-forge/pytorch_sparse,,,['pytorch'],122.0,,https://pypi.org/project/torch-sparse,2023-10-06 08:51:55.000,122.0,24860.0,35164.0,https://anaconda.org/conda-forge/pytorch_sparse,2024-11-05 13:05:27.561,566765.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +574,scikit-cuda,lebedov/scikit-cuda,gpu-utilities,,https://github.com/lebedov/scikit-cuda,https://github.com/lebedov/scikit-cuda,BSD-3-Clause,2010-09-27 02:02:07.000,2023-10-15 05:57:46.000000,2023-10-15 05:57:46,1036.0,,173.0,49.0,114.0,53.0,170.0,992.0,Python interface to GPU-powered libraries.,44.0,24,False,2019-05-27 00:29:00.000,0.5.3,7.0,scikit-cuda,,,,,337.0,314.0,https://pypi.org/project/scikit-cuda,2019-05-27 00:29:00.000,23.0,508.0,508.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +575,Runhouse,run-house/runhouse,ml-frameworks,,https://github.com/run-house/runhouse,https://github.com/run-house/runhouse,Apache-2.0,2022-05-10 14:10:51.000,2025-01-09 14:54:35.000000,2025-01-09 13:46:16,2069.0,289.0,36.0,9.0,1593.0,9.0,42.0,989.0,"Dispatch and distribute your ML training to serverless clusters in Python, like PyTorch for ML infra. Iterable,..",16.0,24,True,2024-12-12 00:41:07.000,0.0.37,45.0,runhouse,,,,,1.0,,https://pypi.org/project/runhouse,2024-12-12 00:40:19.000,1.0,39016.0,39018.0,,,,,,,,3.0,68.0,,,,,,,,,,,,,,,,,,, +576,Neural Structured Learning,tensorflow/neural-structured-learning,tensorflow-utils,,https://github.com/tensorflow/neural-structured-learning,https://github.com/tensorflow/neural-structured-learning,Apache-2.0,2019-08-27 21:48:16.000,2024-06-18 13:19:37.000000,2024-06-18 13:19:34,568.0,,191.0,48.0,61.0,1.0,68.0,985.0,Training neural models with structured signals.,38.0,24,True,2022-07-29 21:05:16.715,1.4.0,8.0,neural-structured-learning,,,,['tensorflow'],498.0,495.0,https://pypi.org/project/neural-structured-learning,2022-07-29 21:05:16.715,3.0,5192.0,5192.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +577,torch-cluster,rusty1s/pytorch_cluster,graph,,https://github.com/rusty1s/pytorch_cluster,https://github.com/rusty1s/pytorch_cluster,MIT,2018-01-12 20:56:06.000,2024-11-14 17:13:15.000000,2024-11-14 17:13:11,605.0,3.0,151.0,15.0,67.0,32.0,143.0,841.0,PyTorch Extension Library of Optimized Graph Cluster Algorithms.,36.0,24,True,2023-10-12 06:54:28.000,1.6.3,43.0,torch-cluster,conda-forge/pytorch_cluster,,,['pytorch'],62.0,,https://pypi.org/project/torch-cluster,2023-10-12 06:52:43.000,62.0,12859.0,17324.0,https://anaconda.org/conda-forge/pytorch_cluster,2024-08-28 13:26:28.147,250090.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +578,BioPandas,rasbt/biopandas,others,,https://github.com/BioPandas/biopandas,https://github.com/BioPandas/biopandas,BSD-3-Clause,2015-11-21 00:00:14.000,2024-12-28 06:54:56.927000,2024-08-01 17:33:11,360.0,,119.0,17.0,84.0,21.0,38.0,719.0,Working with molecular structures in pandas DataFrames.,18.0,24,True,2024-08-01 17:35:04.000,0.5.1,21.0,biopandas,conda-forge/biopandas,,,['pandas'],365.0,327.0,https://pypi.org/project/biopandas,2024-08-01 17:35:04.000,38.0,6637.0,9854.0,https://anaconda.org/conda-forge/biopandas,2024-12-28 06:54:56.927,170530.0,,,,,3.0,,,BioPandas/biopandas,,,,,,,,,,,,,,,,, +579,Mapbox GL,mapbox/mapboxgl-jupyter,geospatial-data,,https://github.com/mapbox/mapboxgl-jupyter,https://github.com/mapbox/mapboxgl-jupyter,MIT,2017-08-08 15:10:51.000,2022-01-11 05:18:07.000000,2021-04-19 05:00:36,221.0,,137.0,137.0,91.0,42.0,67.0,672.0,Use Mapbox GL JS to visualize data in a Python Jupyter notebook.,22.0,24,False,2019-06-03 21:24:10.000,0.10.2,20.0,mapboxgl,,,,['jupyter'],244.0,232.0,https://pypi.org/project/mapboxgl,2019-06-02 16:02:54.380,12.0,11744.0,11744.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +580,pyvips,libvips/pyvips,image,,https://github.com/libvips/pyvips,https://github.com/libvips/pyvips,MIT,2017-07-28 16:39:43.000,2024-10-29 13:01:54.000000,2024-10-29 13:01:54,487.0,3.0,50.0,9.0,66.0,192.0,259.0,663.0,python binding for libvips using cffi.,16.0,24,True,2024-04-28 11:19:58.000,2.2.3,26.0,pyvips,conda-forge/pyvips,,,,947.0,870.0,https://pypi.org/project/pyvips,2024-04-28 11:19:58.000,77.0,46074.0,49108.0,https://anaconda.org/conda-forge/pyvips,2024-09-06 03:01:34.001,154781.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +581,MONAILabel,Project-MONAI/MONAILabel,others,,https://github.com/Project-MONAI/MONAILabel,https://github.com/Project-MONAI/MONAILabel,Apache-2.0,2021-03-26 15:25:10.000,2025-01-07 01:11:36.000000,2024-12-16 20:38:03,1014.0,26.0,199.0,23.0,886.0,129.0,404.0,644.0,MONAI Label is an intelligent open source image labeling and learning tool.,65.0,24,True,2024-10-17 22:32:00.000,0.8.4,114.0,monailabel-weekly,,,,,,,https://pypi.org/project/monailabel-weekly,2023-10-01 02:24:07.000,,2174.0,4728.0,,,,,,,,3.0,107269.0,,,,,,,,,,,,,,,,,,, +582,SKLL,EducationalTestingService/skll,ml-experiments,,https://github.com/EducationalTestingService/skll,https://github.com/EducationalTestingService/skll,,2013-08-02 14:31:46.000,2025-01-09 14:24:17.538000,2024-12-27 14:53:55,3774.0,5.0,67.0,46.0,361.0,19.0,399.0,553.0,SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.,39.0,24,False,2024-12-27 16:29:32.000,5.1.0,72.0,skll,conda-forge/skll,,,['sklearn'],49.0,47.0,https://pypi.org/project/skll,2024-12-27 16:29:32.000,2.0,933.0,1425.0,https://anaconda.org/conda-forge/skll,2025-01-09 14:24:17.538,18723.0,,,,,3.0,16.0,,,,,,,,,,,,,,,,,,, +583,lightwood,mindsdb/lightwood,hyperopt,,https://github.com/mindsdb/lightwood,https://github.com/mindsdb/lightwood,GPL-3.0,2019-05-20 21:31:14.000,2024-12-19 16:38:42.000000,2024-12-19 16:26:44,5687.0,29.0,93.0,18.0,779.0,11.0,446.0,455.0,Lightwood is Legos for Machine Learning.,49.0,24,False,2024-12-19 16:28:01.000,24.12.3.0,208.0,lightwood,,,,['pytorch'],81.0,79.0,https://pypi.org/project/lightwood,2024-12-19 16:38:42.000,2.0,6023.0,6023.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +584,vega,vega/ipyvega,data-viz,,https://github.com/vega/ipyvega,https://github.com/vega/ipyvega,BSD-3-Clause,2015-08-04 03:22:47.000,2025-01-01 01:39:27.000000,2025-01-01 01:30:41,688.0,11.0,65.0,28.0,503.0,15.0,91.0,375.0,IPython/Jupyter notebook module for Vega and Vega-Lite.,15.0,24,True,2024-09-25 14:29:32.000,4.1.0,41.0,vega,conda-forge/vega,,,['jupyter'],21.0,4.0,https://pypi.org/project/vega,2024-09-25 14:29:32.000,17.0,12074.0,24345.0,https://anaconda.org/conda-forge/vega,2024-09-25 20:44:27.334,687194.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +585,miceforest,AnotherSamWilson/miceforest,tabular,,https://github.com/AnotherSamWilson/miceforest,https://github.com/AnotherSamWilson/miceforest,MIT,2020-08-22 00:00:22.000,2024-08-02 00:43:48.000000,2024-08-02 00:21:15,339.0,,30.0,9.0,7.0,8.0,78.0,368.0,Multiple Imputation with LightGBM in Python.,8.0,24,True,2024-08-02 00:43:48.000,6.0.3,48.0,miceforest,conda-forge/miceforest,,,,195.0,186.0,https://pypi.org/project/miceforest,2024-08-02 00:43:48.000,9.0,63449.0,63849.0,https://anaconda.org/conda-forge/miceforest,2023-06-16 19:26:58.237,16811.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +586,prettymaps,marceloprates/prettymaps,geospatial-data,,https://github.com/marceloprates/prettymaps,https://github.com/marceloprates/prettymaps,AGPL-3.0,2021-03-05 12:22:05.000,2024-07-06 13:17:45.000000,2024-07-02 22:54:35,200.0,,538.0,82.0,40.0,64.0,28.0,11414.0,"A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely..",16.0,23,False,2024-07-02 22:56:31.000,1.3.0,13.0,prettymaps,conda-forge/prettymaps,,,,66.0,66.0,https://pypi.org/project/prettymaps,2024-07-02 22:56:31.000,,1592.0,1704.0,https://anaconda.org/conda-forge/prettymaps,2024-07-03 13:55:21.192,4034.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +587,cortex,cortexlabs/cortex,model-serialisation,,https://github.com/cortexlabs/cortex,https://github.com/cortexlabs/cortex,Apache-2.0,2019-01-24 04:43:14.000,2024-06-12 19:34:23.000000,2023-03-04 05:19:44,2327.0,,607.0,145.0,1362.0,129.0,987.0,8021.0,Production infrastructure for machine learning at scale.,25.0,23,False,2022-09-23 18:01:31.000,0.42.1,63.0,cortex,,,,,2.0,,https://pypi.org/project/cortex,2022-09-23 17:40:01.770,2.0,1465.0,1465.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +588,Dejavu,worldveil/dejavu,audio,,https://github.com/worldveil/dejavu,https://github.com/worldveil/dejavu,MIT,2013-11-19 02:50:35.000,2024-04-22 19:23:00.000000,2020-06-03 05:58:03,146.0,,1434.0,262.0,69.0,133.0,137.0,6475.0,Audio fingerprinting and recognition in Python.,23.0,23,False,2015-04-19 21:20:16.000,0.1.3,4.0,PyDejavu,,,,,21.0,21.0,https://pypi.org/project/PyDejavu,2015-04-19 21:20:16.000,,264.0,264.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +589,T5,google-research/text-to-text-transfer-transformer,nlp,,https://github.com/google-research/text-to-text-transfer-transformer,https://github.com/google-research/text-to-text-transfer-transformer,Apache-2.0,2019-10-17 21:45:14.000,2024-09-20 17:59:42.000000,2024-06-28 18:04:28,599.0,,754.0,108.0,590.0,107.0,345.0,6238.0,Code for the paper Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.,59.0,23,True,2023-03-30 16:55:07.154,0.9.4,29.0,t5,,,,['tensorflow'],2.0,,https://pypi.org/project/t5,2021-10-18 13:55:26.000,2.0,25739.0,25739.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +590,MMLSpark,microsoft/SynapseML,distributed-ml,,https://github.com/microsoft/SynapseML,https://github.com/microsoft/SynapseML,MIT,2017-06-05 08:23:44.000,2025-01-07 22:16:47.000000,2025-01-07 22:16:47,1655.0,17.0,833.0,145.0,1596.0,387.0,403.0,5091.0,Simple and Distributed Machine Learning.,121.0,23,True,2024-10-16 04:14:37.000,1.0.8,58.0,mmlspark,,,,['spark'],,,https://pypi.org/project/mmlspark,2020-03-18 01:27:31.000,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +591,deep-daze,lucidrains/deep-daze,image,,https://github.com/lucidrains/deep-daze,https://github.com/lucidrains/deep-daze,MIT,2021-01-17 06:00:50.000,2022-03-13 19:09:50.000000,2022-03-13 19:08:59,231.0,,320.0,75.0,37.0,95.0,76.0,4374.0,Simple command line tool for text to image generation using OpenAIs CLIP and Siren (Implicit neural representation..,14.0,23,False,2022-03-13 19:09:50.000,0.11.1,67.0,deep-daze,,,,,55.0,55.0,https://pypi.org/project/deep-daze,2022-03-13 19:09:50.000,,1939.0,1939.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +592,neon,NervanaSystems/neon,ml-frameworks,,https://github.com/NervanaSystems/neon,https://github.com/NervanaSystems/neon,Apache-2.0,2014-10-16 01:00:17.000,2024-08-13 17:48:41.449000,2019-05-22 18:27:54,1118.0,,811.0,326.0,89.0,91.0,306.0,3873.0,Intel Nervana reference deep learning framework committed to best performance on all hardware.,108.0,23,False,2018-01-05 23:25:04.000,2.6.0,32.0,nervananeon,anaconda/neon,,,,,,https://pypi.org/project/nervananeon,2018-01-05 23:25:04.000,,173.0,194.0,https://anaconda.org/anaconda/neon,2024-08-13 17:48:41.449,1873.0,,,,,3.0,421.0,,,,,,,,,,,,,,,,,,, +593,finmarketpy,cuemacro/finmarketpy,financial-data,,https://github.com/cuemacro/finmarketpy,https://github.com/cuemacro/finmarketpy,Apache-2.0,2015-02-19 23:32:03.000,2024-11-09 18:55:21.000000,2024-11-09 18:55:20,708.0,21.0,489.0,216.0,22.0,25.0,4.0,3496.0,Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians).,18.0,23,True,2024-05-19 22:21:30.000,0.11.14,15.0,finmarketpy,,,,,16.0,16.0,https://pypi.org/project/finmarketpy,2024-05-19 22:21:30.000,,516.0,516.0,,,,,,,,3.0,57.0,,,,,,,,,,,,,,,,,,, +594,PyTorch-BigGraph,facebookresearch/PyTorch-BigGraph,graph,,https://github.com/facebookresearch/PyTorch-BigGraph,https://github.com/facebookresearch/PyTorch-BigGraph,BSD-3-Clause,2018-10-01 20:41:16.000,2024-03-03 01:42:05.000000,2024-03-03 01:31:19,175.0,,449.0,90.0,78.0,67.0,137.0,3390.0,Generate embeddings from large-scale graph-structured data.,32.0,23,True,2019-10-14 16:45:11.000,1.0.0,4.0,torchbiggraph,,,,['pytorch'],2.0,,https://pypi.org/project/torchbiggraph,2019-10-14 16:44:41.000,2.0,280645.0,280648.0,,,,,,,,3.0,218.0,,,,,,,,,,,,,,,,,,, +595,PandasGUI,adamerose/pandasgui,data-viz,,https://github.com/adamerose/PandasGUI,https://github.com/adamerose/PandasGUI,MIT-0,2019-06-12 02:19:42.000,2023-12-07 20:40:17.000000,2023-12-07 20:40:17,720.0,,233.0,54.0,36.0,75.0,126.0,3209.0,A GUI for Pandas DataFrames.,14.0,23,False,2023-02-11 20:04:00.783,0.2.14,44.0,pandasgui,conda-forge/pandasgui,,,['pandas'],459.0,445.0,https://pypi.org/project/pandasgui,2021-08-14 09:14:51.000,14.0,4257.0,4895.0,https://anaconda.org/conda-forge/pandasgui,2023-06-16 19:24:31.206,30641.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +596,analytics-zoo,intel-analytics/analytics-zoo,distributed-ml,,https://github.com/intel-analytics/analytics-zoo,https://github.com/intel-analytics/analytics-zoo,Apache-2.0,2024-03-05 03:41:26.000,2025-01-09 01:09:27.000000,2025-01-09 01:05:46,3464.0,3.0,727.0,7.0,35.0,406.0,855.0,2607.0,"Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray.",109.0,23,True,2024-03-05 10:02:36.000,0.1.0,418.0,analytics-zoo,,,,['spark'],1.0,,https://pypi.org/project/analytics-zoo,2022-08-22 20:19:01.213,1.0,2155.0,2155.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +597,Luminoth,tryolabs/luminoth,image,,https://github.com/tryolabs/luminoth,https://github.com/tryolabs/luminoth,BSD-3-Clause,2017-02-16 15:07:46.000,2023-03-24 23:52:00.000000,2020-01-07 20:53:25,838.0,,413.0,133.0,136.0,60.0,128.0,2407.0,Deep Learning toolkit for Computer Vision.,15.0,23,False,2018-11-09 21:35:17.000,0.2.3,10.0,luminoth,,,,['tensorflow'],68.0,66.0,https://pypi.org/project/luminoth,2018-11-09 21:35:17.000,2.0,1112.0,1260.0,,,,,,,,3.0,12901.0,,,,,,,,,,,,,,,,,,, +598,Karate Club,benedekrozemberczki/karateclub,graph,,https://github.com/benedekrozemberczki/karateclub,https://github.com/benedekrozemberczki/karateclub,GPL-3.0,2019-12-05 17:35:56.000,2024-07-17 19:00:35.000000,2024-07-17 19:00:21,2319.0,,247.0,40.0,39.0,7.0,115.0,2184.0,Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020).,20.0,23,False,2022-12-04 19:04:05.000,_10304,107.0,karateclub,conda-forge/karateclub,,,,293.0,280.0,https://pypi.org/project/karateclub,2022-10-22 13:31:38.000,13.0,4148.0,4684.0,https://anaconda.org/conda-forge/karateclub,2023-06-16 19:21:04.092,28960.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +599,Multicore-TSNE,DmitryUlyanov/Multicore-TSNE,data-viz,,https://github.com/DmitryUlyanov/Multicore-TSNE,https://github.com/DmitryUlyanov/Multicore-TSNE,BSD-3-Clause,2016-10-19 05:46:52.000,2024-02-06 10:59:55.000000,2024-02-06 10:59:47,125.0,,228.0,43.0,36.0,45.0,24.0,1893.0,Parallel t-SNE implementation with Python and Torch wrappers.,18.0,23,True,2017-11-08 13:32:20.000,0.0.1,3.0,MulticoreTSNE,conda-forge/multicore-tsne,,,['pytorch'],505.0,483.0,https://pypi.org/project/MulticoreTSNE,2019-01-09 07:23:04.000,22.0,1275.0,2584.0,https://anaconda.org/conda-forge/multicore-tsne,2023-10-11 19:12:48.654,58933.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +600,sklearn-contrib-lightning,scikit-learn-contrib/lightning,sklearn-utils,,https://github.com/scikit-learn-contrib/lightning,https://github.com/scikit-learn-contrib/lightning,BSD-3-Clause,2012-01-11 13:53:52.000,2023-07-18 11:41:11.000000,2022-01-30 01:22:30,743.0,,214.0,39.0,111.0,56.0,42.0,1729.0,"Large-scale linear classification, regression and ranking in Python.",17.0,23,False,2022-01-30 01:10:13.000,0.6.2.post0,12.0,sklearn-contrib-lightning,conda-forge/sklearn-contrib-lightning,,,['sklearn'],171.0,165.0,https://pypi.org/project/sklearn-contrib-lightning,2022-01-30 00:43:43.000,6.0,6740.0,9196.0,https://anaconda.org/conda-forge/sklearn-contrib-lightning,2023-06-16 13:18:02.734,248910.0,,,,,3.0,726.0,,,,,,,,,,,,,,,,,,, +601,jiant,nyu-mll/jiant,nlp,,https://github.com/nyu-mll/jiant,https://github.com/nyu-mll/jiant,MIT,2018-06-18 18:12:47.000,2023-07-06 22:00:38.000000,2022-10-17 19:34:56,1930.0,,295.0,43.0,801.0,72.0,485.0,1656.0,jiant is an nlp toolkit.,60.0,23,False,2021-05-10 18:56:39.000,2.2.0,19.0,jiant,,,,,6.0,6.0,https://pypi.org/project/jiant,2021-05-10 18:56:39.000,,208.0,208.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +602,Explainability 360,Trusted-AI/AIX360,interpretability,,https://github.com/Trusted-AI/AIX360,https://github.com/Trusted-AI/AIX360,Apache-2.0,2019-07-11 07:17:48.000,2024-07-16 05:54:41.000000,2024-07-16 05:54:41,602.0,,304.0,56.0,119.0,54.0,31.0,1651.0,Interpretability and explainability of data and machine learning models.,41.0,23,True,2023-07-31 18:54:38.000,0.3.0,5.0,aix360,,,,,110.0,109.0,https://pypi.org/project/aix360,2023-07-31 18:54:38.000,1.0,748.0,748.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +603,Higher,facebookresearch/higher,pytorch-utils,,https://github.com/facebookresearch/higher,https://github.com/facebookresearch/higher,Apache-2.0,2019-09-06 18:58:36.000,2022-03-25 15:56:51.000000,2021-10-26 07:08:33,31.0,,123.0,28.0,31.0,63.0,50.0,1600.0,higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather..,9.0,23,False,2020-07-14 12:20:32.000,0.2.1,2.0,higher,,,,['pytorch'],588.0,581.0,https://pypi.org/project/higher,2020-07-14 12:20:32.000,7.0,57850.0,57850.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +604,jraph,deepmind/jraph,graph,,https://github.com/google-deepmind/jraph,https://github.com/google-deepmind/jraph,Apache-2.0,2020-11-23 10:27:12.000,2024-12-25 18:07:02.406000,2022-08-31 13:13:15,103.0,,91.0,39.0,15.0,12.0,27.0,1391.0,A Graph Neural Network Library in Jax.,17.0,23,False,2022-08-12 15:24:20.000,0.0.6.de0,5.0,jraph,conda-forge/jraph,,,['jax'],267.0,245.0,https://pypi.org/project/jraph,2022-08-12 15:25:29.659,22.0,18009.0,18196.0,https://anaconda.org/conda-forge/jraph,2024-12-25 18:07:02.406,7309.0,,,,,3.0,,,google-deepmind/jraph,,,,,,,,,,,,,,,,, +605,sklearn-porter,nok/sklearn-porter,model-serialisation,,https://github.com/nok/sklearn-porter,https://github.com/nok/sklearn-porter,BSD-3-Clause,2016-06-22 22:21:34.000,2024-06-12 09:16:57.000000,2022-05-22 23:59:48,1219.0,,163.0,32.0,24.0,42.0,34.0,1295.0,"Transpile trained scikit-learn estimators to C, Java, JavaScript and others.",13.0,23,False,2019-12-18 13:39:19.000,0.7.4,20.0,sklearn-porter,,,,['sklearn'],70.0,70.0,https://pypi.org/project/sklearn-porter,2019-12-18 13:39:19.000,,870.0,870.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +606,NGT,yahoojapan/NGT,nn-search,,https://github.com/yahoojapan/NGT,https://github.com/yahoojapan/NGT,Apache-2.0,2016-09-01 07:36:57.000,2024-12-17 04:16:31.000000,2024-12-17 04:08:56,210.0,14.0,115.0,37.0,32.0,21.0,122.0,1273.0,Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data.,15.0,23,True,2024-12-17 04:17:49.000,2.3.7,91.0,ngt,,,,,8.0,,https://pypi.org/project/ngt,2023-12-06 05:33:15.000,8.0,2603.0,2603.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +607,AstroML,astroML/astroML,others,,https://github.com/astroML/astroML,https://github.com/astroML/astroML,BSD-2-Clause,2012-10-17 22:33:50.000,2024-12-28 16:56:13.394000,2024-01-04 20:41:21,582.0,,296.0,95.0,123.0,62.0,98.0,1067.0,"Machine learning, statistics, and data mining for astronomy and astrophysics.",31.0,23,True,2022-01-25 21:56:31.000,1.0.2,13.0,astroML,conda-forge/astroml,,,['sklearn'],16.0,,https://pypi.org/project/astroML,2022-03-01 20:02:01.000,16.0,1237.0,2636.0,https://anaconda.org/conda-forge/astroml,2024-12-28 16:56:13.394,50369.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +608,calamari,Calamari-OCR/calamari,ocr,,https://github.com/Calamari-OCR/calamari,https://github.com/Calamari-OCR/calamari,GPL-3.0,2018-03-20 15:22:29.000,2024-11-12 23:23:07.000000,2024-11-12 23:19:10,478.0,5.0,211.0,53.0,94.0,59.0,219.0,1064.0,Line based ATR Engine based on OCRopy.,21.0,23,False,2024-11-12 23:23:07.000,2.3.1,45.0,calamari_ocr,,,,,8.0,,https://pypi.org/project/calamari_ocr,2024-11-12 23:23:07.000,8.0,3558.0,3558.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +609,keract,philipperemy/keract,interpretability,,https://github.com/philipperemy/keract,https://github.com/philipperemy/keract,MIT,2017-05-17 04:50:57.000,2024-08-14 00:01:42.000000,2023-11-17 10:59:26,412.0,,185.0,33.0,74.0,3.0,86.0,1053.0,Layers Outputs and Gradients in Keras. Made easy.,16.0,23,False,2022-09-25 14:40:40.377,4.5.1,39.0,keract,,,,['tensorflow'],244.0,235.0,https://pypi.org/project/keract,2022-09-25 14:40:40.377,9.0,7125.0,7125.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +610,detoxify,unitaryai/detoxify,nlp,,https://github.com/unitaryai/detoxify,https://github.com/unitaryai/detoxify,Apache-2.0,2020-09-23 15:24:21.000,2025-01-07 00:00:08.000000,2025-01-04 18:16:06,261.0,9.0,117.0,14.0,56.0,37.0,29.0,986.0,Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using Pytorch..,14.0,23,True,2024-02-01 14:51:21.000,0.5.2,13.0,detoxify,,,,,794.0,764.0,https://pypi.org/project/detoxify,2024-02-01 14:51:21.000,30.0,25997.0,42076.0,,,,,,,,3.0,803959.0,,,,,,,,,,,,,,,,,,, +611,Pandas-Bokeh,PatrikHlobil/Pandas-Bokeh,data-viz,,https://github.com/PatrikHlobil/Pandas-Bokeh,https://github.com/PatrikHlobil/Pandas-Bokeh,MIT,2018-11-23 20:49:14.000,2024-04-10 17:11:06.000000,2023-03-06 07:52:05,311.0,,110.0,26.0,36.0,35.0,69.0,878.0,Bokeh Plotting Backend for Pandas and GeoPandas.,15.0,23,False,2021-04-11 17:43:13.000,0.5.5,16.0,pandas-bokeh,,,,['pandas'],708.0,696.0,https://pypi.org/project/pandas-bokeh,2021-04-11 17:43:13.000,12.0,8893.0,8893.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +612,Guild AI,guildai/guildai,ml-experiments,,https://github.com/guildai/guildai,https://github.com/guildai/guildai,Apache-2.0,2017-09-27 18:57:50.000,2023-08-14 08:41:19.000000,2023-08-12 20:19:05,5777.0,,84.0,14.0,77.0,221.0,218.0,873.0,"Experiment tracking, ML developer tools.",29.0,23,False,2023-02-25 17:16:57.621,0.9.0,186.0,guildai,,,,,102.0,102.0,https://pypi.org/project/guildai,2022-05-11 01:13:31.000,,4123.0,4123.0,,,,,,,,3.0,30.0,,,,,,,,,,,,,,,,,,, +613,aequitas,dssg/aequitas,interpretability,,https://github.com/dssg/aequitas,https://github.com/dssg/aequitas,MIT,2018-02-13 19:40:30.000,2024-09-11 16:24:06.000000,2024-09-11 10:27:00,921.0,,118.0,42.0,118.0,51.0,48.0,703.0,Bias Auditing & Fair ML Toolkit.,22.0,23,True,2024-01-30 12:03:19.000,1.0.0,18.0,aequitas,,,,,187.0,179.0,https://pypi.org/project/aequitas,2024-01-30 12:03:19.000,8.0,22205.0,22205.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +614,pivottablejs,nicolaskruchten/jupyter_pivottablejs,data-viz,,https://github.com/nicolaskruchten/jupyter_pivottablejs,https://github.com/nicolaskruchten/jupyter_pivottablejs,MIT,2015-09-09 13:39:18.000,2025-01-03 21:29:16.566000,2018-12-04 14:43:25,32.0,,88.0,21.0,9.0,25.0,41.0,693.0,"Dragndrop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js.",3.0,23,False,2018-01-15 18:14:37.000,0.9.0,10.0,pivottablejs,anaconda/pivottablejs,,,['jupyter'],497.0,487.0,https://pypi.org/project/pivottablejs,2018-01-15 18:14:37.000,10.0,22750.0,22779.0,https://anaconda.org/anaconda/pivottablejs,2025-01-03 21:29:16.566,3154.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +615,whoosh,mchaput/whoosh,nlp,,https://github.com/mchaput/whoosh,https://github.com/mchaput/whoosh,BSD-1-Clause,2015-04-17 19:34:47.000,2024-09-03 08:52:17.073000,2022-01-15 18:08:37,1718.0,,73.0,14.0,13.0,44.0,7.0,591.0,Pure-Python full-text search library.,42.0,23,False,2016-04-04 01:19:40.000,2.7.4,141.0,whoosh,conda-forge/whoosh,,,,232.0,,https://pypi.org/project/whoosh,2016-04-04 01:19:40.000,232.0,341052.0,349435.0,https://anaconda.org/conda-forge/whoosh,2024-09-03 08:52:17.073,368858.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +616,MedPy,loli/medpy,medical-data,,https://github.com/loli/medpy,https://github.com/loli/medpy,GPL-3.0,2012-05-11 10:57:34.000,2024-09-18 15:23:28.852000,2024-07-23 14:46:53,413.0,,139.0,21.0,49.0,1.0,87.0,582.0,Medical image processing in Python.,20.0,23,False,2024-07-23 14:23:57.000,0.5.2,11.0,MedPy,conda-forge/medpy,,,,2503.0,2450.0,https://pypi.org/project/MedPy,2024-07-23 14:23:57.000,53.0,20905.0,22666.0,https://anaconda.org/conda-forge/medpy,2024-09-18 15:23:28.852,75727.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +617,Hyperactive,SimonBlanke/Hyperactive,hyperopt,,https://github.com/SimonBlanke/Hyperactive,https://github.com/SimonBlanke/Hyperactive,MIT,2018-11-01 08:53:30.000,2025-01-05 17:00:32.000000,2025-01-01 13:06:44,2387.0,8.0,42.0,12.0,20.0,13.0,64.0,515.0,An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.,9.0,23,True,2024-08-14 15:06:05.000,4.8.0,80.0,hyperactive,,,,,49.0,36.0,https://pypi.org/project/hyperactive,2024-08-15 14:23:15.000,13.0,2013.0,2017.0,,,,,,,,3.0,301.0,,,,,,,,,,,,,,,,,,, +618,vegafusion,vegafusion/vegafusion,data-viz,,https://github.com/vega/vegafusion,https://github.com/vega/vegafusion,BSD-3-Clause,2021-10-01 09:19:27.000,2024-11-25 23:37:09.000000,2024-11-25 23:37:07,715.0,52.0,18.0,23.0,396.0,51.0,89.0,340.0,Serverside scaling for Vega and Altair visualizations.,5.0,23,True,2024-11-25 13:17:12.000,2.0.1,75.0,vegafusion-jupyter,conda-forge/vegafusion-python-embed,,,,5.0,,https://pypi.org/project/vegafusion-jupyter,2024-05-09 19:01:07.000,2.0,1561.0,11026.0,https://anaconda.org/conda-forge/vegafusion-python-embed,2024-10-31 11:12:37.992,308552.0,,,,,3.0,9493.0,,vega/vegafusion,vegafusion-jupyter,https://www.npmjs.com/package/vegafusion-jupyter,2024-05-09 19:11:31.675,3.0,127.0,,,,,,,,,,,, +619,pandas-ai,gventuri/pandas-ai,others,,https://github.com/Sinaptik-AI/pandas-ai,https://github.com/Sinaptik-AI/pandas-ai,,2023-04-22 12:58:01.000,2025-01-09 14:06:17.000000,2025-01-08 19:08:31,1092.0,37.0,1355.0,113.0,551.0,42.0,729.0,13943.0,"Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational..",102.0,22,False,2025-01-02 18:10:58.000,2.4.2,100.0,pandas-ai,,,,,,,https://pypi.org/project/pandas-ai,,,,,,,,,,,,3.0,,,Sinaptik-AI/pandas-ai,,,,,,,,,,,,,,,,, +620,micrograd,karpathy/micrograd,pytorch-utils,,https://github.com/karpathy/micrograd,https://github.com/karpathy/micrograd,MIT,2020-04-13 04:31:18.000,2024-08-08 12:54:44.000000,2020-04-18 19:15:25,24.0,,1564.0,151.0,53.0,46.0,12.0,10866.0,A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API.,2.0,22,False,2020-04-18 19:06:59.000,0.1.0,1.0,micrograd,,,,['pytorch'],83.0,80.0,https://pypi.org/project/micrograd,2020-04-18 19:06:59.000,3.0,1278.0,1278.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +621,Backtesting.py,kernc/backtesting.py,financial-data,,https://github.com/kernc/backtesting.py,https://github.com/kernc/backtesting.py,AGPL-3.0,2019-01-02 03:11:32.000,2024-08-06 12:05:27.000000,2023-01-15 11:37:16,279.0,,1074.0,126.0,110.0,180.0,358.0,5742.0,Backtest trading strategies in Python.,19.0,22,False,2021-12-13 01:36:44.000,0.3.3,21.0,backtesting,,,,,6.0,,https://pypi.org/project/backtesting,2021-12-13 01:36:44.000,6.0,18631.0,18631.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +622,Crypto Signals,CryptoSignal/crypto-signal,financial-data,,https://github.com/CryptoSignal/Crypto-Signal,https://github.com/CryptoSignal/Crypto-Signal,MIT,2017-09-16 23:49:24.000,2024-07-07 15:33:11.000000,2022-08-09 13:26:32,565.0,,1253.0,308.0,210.0,66.0,220.0,5023.0,"Github.com/CryptoSignal - Trading & Technical Analysis Bot - 4,100+ stars, 1,100+ forks.",28.0,22,False,,,,,,shadowreaver/crypto-signal,,,,,,,,,1634.0,,,,https://hub.docker.com/r/shadowreaver/crypto-signal,2020-09-03 13:00:35.801133,8.0,143870.0,3.0,,,,,,,,,,,,,,,,,,,, +623,BytePS,bytedance/byteps,distributed-ml,,https://github.com/bytedance/byteps,https://github.com/bytedance/byteps,Apache-2.0,2019-06-25 07:00:13.000,2023-10-03 18:02:27.000000,2022-02-10 07:36:23,432.0,,490.0,84.0,180.0,113.0,161.0,3650.0,A high performance and generic framework for distributed DNN training.,21.0,22,False,2020-08-27 15:42:13.000,0.2.4,8.0,byteps,,bytepsimage/tensorflow,,,3.0,3.0,https://pypi.org/project/byteps,2021-08-02 17:37:42.000,,173.0,193.0,,,,https://hub.docker.com/r/bytepsimage/tensorflow,2020-03-03 02:33:23.358610,,1363.0,3.0,,,,,,,,,,,,,,,,,,,, +624,ReAgent,facebookresearch/ReAgent,reinforcement-learning,,https://github.com/facebookresearch/ReAgent,https://github.com/facebookresearch/ReAgent,BSD-3-Clause,2017-07-27 17:53:21.000,2025-01-06 21:18:14.000000,2025-01-06 21:09:42,1609.0,7.0,514.0,147.0,610.0,86.0,75.0,3576.0,"A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.).",171.0,22,True,2020-01-27 22:06:00.000,0.0.0,2.0,reagent,,,,['pytorch'],,,https://pypi.org/project/reagent,2020-05-27 20:58:01.000,,50.0,50.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +625,gpt-2-simple,minimaxir/gpt-2-simple,nlp,,https://github.com/minimaxir/gpt-2-simple,https://github.com/minimaxir/gpt-2-simple,MIT,2019-04-13 20:00:52.000,2022-12-14 11:50:45.000000,2022-05-22 02:02:04,149.0,,676.0,74.0,53.0,179.0,101.0,3398.0,Python package to easily retrain OpenAIs GPT-2 text-generating model on new texts.,21.0,22,False,2021-10-18 02:38:39.000,0.8.1,18.0,gpt-2-simple,,,,['tensorflow'],8.0,,https://pypi.org/project/gpt-2-simple,2021-10-18 01:47:20.000,8.0,1511.0,1520.0,,,,,,,,3.0,653.0,,,,,,,,,,,,,,,,,,, +626,vissl,facebookresearch/vissl,image,,https://github.com/facebookresearch/vissl,https://github.com/facebookresearch/vissl,MIT,2020-04-09 19:40:33.000,2024-03-03 01:41:37.000000,2024-03-03 01:31:19,412.0,,329.0,54.0,414.0,82.0,106.0,3263.0,"VISSL is FAIRs library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.",38.0,22,True,2021-11-02 17:21:02.000,0.1.6,6.0,vissl,,,,['pytorch'],59.0,58.0,https://pypi.org/project/vissl,2021-11-02 15:36:07.000,1.0,147.0,147.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +627,TRFL,deepmind/trfl,reinforcement-learning,,https://github.com/google-deepmind/trfl,https://github.com/google-deepmind/trfl,Apache-2.0,2018-08-08 14:44:11.000,2022-12-08 18:07:05.000000,2021-08-16 11:45:18,123.0,,386.0,205.0,9.0,4.0,16.0,3138.0,TensorFlow Reinforcement Learning.,13.0,22,False,2021-08-16 12:19:16.000,1.2.0,5.0,trfl,,,,['tensorflow'],166.0,164.0,https://pypi.org/project/trfl,2021-08-16 12:19:16.000,2.0,1306.0,1306.0,,,,,,,,3.0,,,google-deepmind/trfl,,,,,,,,,,,,,,,,, +628,opyrator,ml-tooling/opyrator,others,,https://github.com/ml-tooling/opyrator,https://github.com/ml-tooling/opyrator,MIT,2021-04-06 08:09:06.000,2025-01-08 23:49:34.989000,2021-05-06 12:10:38,127.0,,157.0,48.0,73.0,2.0,31.0,3116.0,"Turns your machine learning code into microservices with web API, interactive GUI, and more.",4.0,22,False,2021-05-04 18:48:03.000,0.0.12,11.0,opyrator,conda-forge/opyrator,,,,55.0,55.0,https://pypi.org/project/opyrator,2021-05-04 18:48:03.000,,330.0,384.0,https://anaconda.org/conda-forge/opyrator,2025-01-08 23:49:34.989,1978.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +629,NLP Architect,IntelLabs/nlp-architect,nlp,,https://github.com/IntelLabs/nlp-architect,https://github.com/IntelLabs/nlp-architect,Apache-2.0,2018-05-17 21:00:13.000,2022-11-07 16:21:47.000000,2022-11-07 16:21:47,957.0,,454.0,164.0,120.0,22.0,112.0,2941.0,A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language..,40.0,22,False,2020-11-17 12:32:37.000,0.5.5.1,13.0,nlp-architect,,,,,11.0,11.0,https://pypi.org/project/nlp-architect,2020-04-12 11:34:38.000,,283.0,283.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +630,Texthero,jbesomi/texthero,nlp,,https://github.com/jbesomi/texthero,https://github.com/jbesomi/texthero,MIT,2020-04-06 15:16:05.000,2023-08-29 08:45:13.000000,2023-08-29 08:45:10,277.0,,238.0,43.0,110.0,80.0,64.0,2893.0,"Text preprocessing, representation and visualization from zero to hero.",21.0,22,False,2021-07-01 17:11:02.000,1.1.0,10.0,texthero,,,,,6.0,,https://pypi.org/project/texthero,2021-07-01 17:11:02.000,6.0,2988.0,2990.0,,,,,,,,3.0,162.0,,,,,,,,,,,,,,,,,,, +631,Texar,asyml/texar,nlp,,https://github.com/asyml/texar,https://github.com/asyml/texar,Apache-2.0,2017-07-22 19:02:05.000,2021-08-26 09:49:50.000000,2020-07-29 00:38:30,1719.0,,381.0,79.0,146.0,36.0,126.0,2386.0,"Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the..",43.0,22,False,2019-11-19 04:11:18.000,0.2.4,6.0,texar,,,,['tensorflow'],31.0,29.0,https://pypi.org/project/texar,2019-11-19 04:11:18.000,2.0,94.0,94.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +632,SRU,asappresearch/sru,pytorch-utils,,https://github.com/asappresearch/sru,https://github.com/asappresearch/sru,MIT,2017-08-28 20:37:41.000,2022-01-04 21:17:53.000000,2021-05-19 15:52:48,400.0,,296.0,64.0,78.0,65.0,68.0,2103.0,Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755).,21.0,22,False,2021-05-18 16:13:10.000,2.6.0,32.0,sru,,,,['pytorch'],3.0,,https://pypi.org/project/sru,2021-06-17 23:33:37.000,3.0,2010.0,2010.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +633,Vulkan Kompute,KomputeProject/kompute,gpu-utilities,,https://github.com/KomputeProject/kompute,https://github.com/KomputeProject/kompute,Apache-2.0,2020-07-29 05:23:33.000,2024-12-10 06:15:26.000000,2024-12-10 06:15:26,1292.0,4.0,148.0,33.0,186.0,71.0,150.0,2055.0,"General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm,..",31.0,22,True,2024-01-20 15:39:17.000,0.9.0,14.0,kp,,,,,,,https://pypi.org/project/kp,2024-01-20 15:33:09.000,,361.0,372.0,,,,,,,,3.0,614.0,,,,,,,,,,,,,,,,,,, +634,fast-bert,utterworks/fast-bert,nlp,,https://github.com/utterworks/fast-bert,https://github.com/utterworks/fast-bert,Apache-2.0,2019-04-18 22:01:20.000,2024-08-19 09:45:05.000000,2024-08-19 09:41:36,346.0,,341.0,42.0,68.0,163.0,95.0,1876.0,Super easy library for BERT based NLP models.,37.0,22,True,2024-08-19 09:45:05.000,2.0.26,72.0,fast-bert,,,,,,,https://pypi.org/project/fast-bert,2024-08-19 09:45:05.000,,2133.0,2133.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +635,hiddenlayer,waleedka/hiddenlayer,ml-experiments,,https://github.com/waleedka/hiddenlayer,https://github.com/waleedka/hiddenlayer,MIT,2018-05-18 22:34:51.000,2024-02-11 12:41:49.000000,2020-04-24 06:58:09,58.0,,255.0,44.0,14.0,57.0,35.0,1802.0,"Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.",6.0,22,False,2018-12-03 04:33:29.000,0.2,3.0,hiddenlayer,,,,"['pytorch', 'tensorflow', 'jupyter']",339.0,328.0,https://pypi.org/project/hiddenlayer,2020-04-24 07:32:11.000,11.0,2176.0,2176.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +636,graph4nlp,graph4ai/graph4nlp,graph,,https://github.com/graph4ai/graph4nlp,https://github.com/graph4ai/graph4nlp,Apache-2.0,2020-07-16 03:28:48.000,2024-06-24 03:38:13.000000,2022-11-13 04:54:45,1941.0,,197.0,30.0,424.0,11.0,163.0,1680.0,Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website..,29.0,22,False,2022-01-20 18:07:32.000,0.5.5,12.0,graph4nlp,,,,['pytorch'],,,https://pypi.org/project/graph4nlp,2022-01-20 15:18:44.000,,464.0,464.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +637,Antialiased CNNs,adobe/antialiased-cnns,pytorch-utils,,https://github.com/adobe/antialiased-cnns,https://github.com/adobe/antialiased-cnns,CC BY-NC-SA 4.0,2019-05-14 20:51:25.000,2024-04-08 12:49:27.000000,2021-09-29 18:48:52,239.0,,200.0,38.0,7.0,15.0,33.0,1658.0,pip install antialiased-cnns to improve stability and accuracy.,6.0,22,False,2020-10-23 22:45:52.000,0.3,6.0,antialiased-cnns,,,,['pytorch'],80.0,74.0,https://pypi.org/project/antialiased-cnns,2020-10-23 22:42:49.000,6.0,13046.0,13046.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +638,Classy Vision,facebookresearch/ClassyVision,image,,https://github.com/facebookresearch/ClassyVision,https://github.com/facebookresearch/ClassyVision,MIT,2019-09-13 22:54:44.000,2024-06-27 16:05:09.000000,2023-03-23 14:35:34,422.0,,278.0,70.0,730.0,51.0,64.0,1601.0,An end-to-end PyTorch framework for image and video classification.,77.0,22,False,2023-03-21 05:24:19.000,0.7.0,18.0,classy_vision,conda-forge/classy_vision,,,['pytorch'],4.0,,https://pypi.org/project/classy_vision,2023-03-21 05:15:00.935,4.0,928.0,1396.0,https://anaconda.org/conda-forge/classy_vision,2023-06-16 19:17:34.578,28082.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +639,Mesh,tensorflow/mesh,distributed-ml,,https://github.com/tensorflow/mesh,https://github.com/tensorflow/mesh,Apache-2.0,2018-09-20 20:23:34.000,2023-11-17 19:39:54.000000,2023-11-17 19:39:45,658.0,,255.0,51.0,312.0,98.0,18.0,1598.0,Mesh TensorFlow: Model Parallelism Made Easier.,50.0,22,False,2022-05-15 21:06:13.000,0.1.21,27.0,mesh-tensorflow,,,,['tensorflow'],3.0,,https://pypi.org/project/mesh-tensorflow,2022-05-15 21:06:13.000,3.0,31052.0,31052.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +640,ThunderSVM,Xtra-Computing/thundersvm,ml-frameworks,,https://github.com/Xtra-Computing/thundersvm,https://github.com/Xtra-Computing/thundersvm,Apache-2.0,2014-12-11 04:24:04.000,2024-04-01 08:11:14.000000,2024-04-01 08:11:13,912.0,,217.0,57.0,52.0,82.0,149.0,1577.0,ThunderSVM: A Fast SVM Library on GPUs and CPUs.,37.0,22,True,2020-03-13 12:36:30.000,0.3.12,9.0,thundersvm,,,,,,,https://pypi.org/project/thundersvm,2020-03-13 12:36:30.000,,1085.0,1114.0,,,,,,,,3.0,2903.0,,,,,,,,,,,,,,,,,,, +641,FinQuant,fmilthaler/FinQuant,financial-data,,https://github.com/fmilthaler/FinQuant,https://github.com/fmilthaler/FinQuant,MIT,2019-01-20 15:07:19.000,2023-11-04 08:38:31.000000,2023-09-03 19:16:54,508.0,,194.0,33.0,86.0,16.0,33.0,1463.0,"A program for financial portfolio management, analysis and optimisation.",11.0,22,False,2023-09-04 06:57:56.000,0.7.0,15.0,FinQuant,,,,,96.0,95.0,https://pypi.org/project/FinQuant,2023-09-04 06:57:56.000,1.0,656.0,656.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +642,advertorch,BorealisAI/advertorch,adversarial,,https://github.com/BorealisAI/advertorch,https://github.com/BorealisAI/advertorch,GPL-3.0,2018-11-29 22:17:33.000,2023-09-14 02:51:02.000000,2022-05-29 19:09:18,309.0,,197.0,27.0,57.0,27.0,36.0,1318.0,A Toolbox for Adversarial Robustness Research.,21.0,22,False,2020-06-15 01:20:07.000,0.2.3,10.0,advertorch,,,,['pytorch'],186.0,181.0,https://pypi.org/project/advertorch,2020-06-15 01:20:07.000,5.0,514.0,514.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +643,PFRL,pfnet/pfrl,reinforcement-learning,,https://github.com/pfnet/pfrl,https://github.com/pfnet/pfrl,MIT,2020-06-24 09:31:50.000,2024-08-04 22:39:35.000000,2024-08-04 17:00:39,437.0,,150.0,91.0,122.0,33.0,46.0,1214.0,PFRL: a PyTorch-based deep reinforcement learning library.,20.0,22,True,2023-07-16 15:34:00.704,0.4.0,6.0,pfrl,,,,,118.0,117.0,https://pypi.org/project/pfrl,2023-07-16 15:34:00.704,1.0,464.0,464.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +644,luminol,linkedin/luminol,time-series-data,,https://github.com/linkedin/luminol,https://github.com/linkedin/luminol,Apache-2.0,2015-11-18 23:16:33.000,2023-05-09 00:52:44.000000,2023-05-09 00:52:44,72.0,,215.0,65.0,29.0,31.0,12.0,1193.0,Anomaly Detection and Correlation library.,9.0,22,False,2016-01-20 01:01:44.000,0.3.1,5.0,luminol,,,,,83.0,81.0,https://pypi.org/project/luminol,2017-12-11 06:04:15.000,2.0,9622.0,9622.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +645,ADTK,arundo/adtk,time-series-data,,https://github.com/arundo/adtk,https://github.com/arundo/adtk,MPL-2.0,2019-09-27 00:34:22.000,2024-08-01 11:53:43.000000,2020-04-17 02:27:44,79.0,,149.0,25.0,77.0,51.0,37.0,1109.0,A Python toolkit for rule-based/unsupervised anomaly detection in time series.,11.0,22,False,2020-04-17 02:18:00.000,0.6.2,13.0,adtk,conda-forge/adtk,,,,5.0,,https://pypi.org/project/adtk,2020-04-17 02:18:00.000,5.0,240127.0,240289.0,https://anaconda.org/conda-forge/adtk,2023-06-16 19:18:16.533,9420.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +646,nnAudio,KinWaiCheuk/nnAudio,audio,,https://github.com/KinWaiCheuk/nnAudio,https://github.com/KinWaiCheuk/nnAudio,MIT,2019-09-02 04:31:14.000,2024-02-13 05:58:29.000000,2024-02-13 05:55:37,305.0,,90.0,20.0,73.0,18.0,45.0,1041.0,Audio processing by using pytorch 1D convolution network.,15.0,22,True,2024-02-13 05:58:29.000,0.3.3,40.0,nnAudio,,,,,264.0,260.0,https://pypi.org/project/nnAudio,2024-02-13 05:58:29.000,4.0,25342.0,25342.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +647,tf-explain,sicara/tf-explain,interpretability,,https://github.com/sicara/tf-explain,https://github.com/sicara/tf-explain,MIT,2019-07-15 08:26:24.000,2024-06-03 10:38:45.000000,2022-06-30 08:14:18,208.0,,111.0,50.0,99.0,44.0,51.0,1021.0,Interpretability Methods for tf.keras models with Tensorflow 2.x.,18.0,22,False,2021-11-18 20:57:29.000,0.3.1,8.0,tf-explain,,,,['tensorflow'],270.0,259.0,https://pypi.org/project/tf-explain,2021-11-18 20:57:29.000,11.0,3448.0,3448.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +648,YouTokenToMe,vkcom/youtokentome,nlp,,https://github.com/VKCOM/YouTokenToMe,https://github.com/VKCOM/YouTokenToMe,MIT,2019-06-06 11:38:28.000,2024-03-29 10:21:35.000000,2023-03-29 07:39:45,85.0,,88.0,26.0,55.0,36.0,28.0,965.0,Unsupervised text tokenizer focused on computational efficiency.,8.0,22,False,2020-02-13 09:57:47.000,1.0.6,14.0,youtokentome,conda-forge/youtokentome,,,,807.0,784.0,https://pypi.org/project/youtokentome,2020-02-12 18:24:46.000,23.0,51653.0,53629.0,https://anaconda.org/conda-forge/youtokentome,2023-09-27 19:23:04.851,79058.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +649,Saliency,PAIR-code/saliency,tensorflow-utils,,https://github.com/PAIR-code/saliency,https://github.com/PAIR-code/saliency,Apache-2.0,2017-06-09 22:07:35.000,2024-03-20 19:51:28.000000,2024-03-20 19:28:51,85.0,,191.0,25.0,58.0,12.0,27.0,962.0,"Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).",18.0,22,True,2024-03-20 19:51:28.000,0.2.1,12.0,saliency,,,,['tensorflow'],127.0,119.0,https://pypi.org/project/saliency,2024-03-20 19:51:28.000,8.0,12706.0,12706.0,,,,,,,,3.0,,4.0,,,,,,,,,,,,,,,,,, +650,TSFEL,fraunhoferportugal/tsfel,time-series-data,,https://github.com/fraunhoferportugal/tsfel,https://github.com/fraunhoferportugal/tsfel,BSD-3-Clause,2019-01-09 16:41:30.000,2024-10-17 08:47:41.000000,2024-10-17 08:43:32,431.0,1.0,143.0,21.0,87.0,9.0,72.0,956.0,An intuitive library to extract features from time series.,20.0,22,True,2024-09-12 10:50:23.000,0.1.9,13.0,tsfel,,,,,171.0,164.0,https://pypi.org/project/tsfel,2024-09-12 10:43:35.000,7.0,10343.0,10343.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +651,What-If Tool,PAIR-code/what-if-tool,interpretability,,https://github.com/PAIR-code/what-if-tool,https://github.com/PAIR-code/what-if-tool,Apache-2.0,2018-09-07 20:26:10.000,2024-09-11 20:07:00.000000,2024-02-01 21:38:56,330.0,,172.0,30.0,113.0,91.0,56.0,929.0,Source code/webpage/demos for the What-If Tool.,20.0,22,True,2021-10-12 17:42:50.869,1.8.1,40.0,witwidget,conda-forge/tensorboard-plugin-wit,,,,11.0,2.0,https://pypi.org/project/witwidget,2021-10-12 17:42:30.000,6.0,6411.0,49224.0,https://anaconda.org/conda-forge/tensorboard-plugin-wit,2023-06-16 19:20:28.498,2339188.0,,,,,3.0,,,,wit-widget,https://www.npmjs.com/package/wit-widget,2021-10-12 17:42:50.869,3.0,283.0,,,,,,,,,,,, +652,kapre,keunwoochoi/kapre,audio,,https://github.com/keunwoochoi/kapre,https://github.com/keunwoochoi/kapre,MIT,2016-12-14 18:36:36.000,2023-10-23 02:52:41.000000,2022-07-04 00:10:02,195.0,,146.0,23.0,46.0,17.0,82.0,925.0,kapre: Keras Audio Preprocessors.,13.0,22,False,2022-01-21 20:10:47.000,Kapre-0.3.7,24.0,kapre,,,,['tensorflow'],2478.0,2469.0,https://pypi.org/project/kapre,2022-01-21 20:09:21.000,9.0,1307.0,1307.0,,,,,,,,3.0,32.0,,,,,,,,,,,,,,,,,,, +653,icevision,airctic/icevision,image,,https://github.com/airctic/icevision,https://github.com/airctic/icevision,Apache-2.0,2020-05-04 01:57:02.000,2024-11-26 19:03:40.000000,2024-10-31 11:39:03,1235.0,1.0,134.0,24.0,594.0,63.0,511.0,854.0,"An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come.",41.0,22,True,2022-02-10 15:55:46.374,0.12.0,41.0,icevision,,,,,6.0,,https://pypi.org/project/icevision,2022-02-10 15:55:46.374,6.0,2701.0,2701.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +654,mlens,flennerhag/mlens,others,,https://github.com/flennerhag/mlens,https://github.com/flennerhag/mlens,MIT,2017-01-10 20:53:47.000,2023-11-13 16:09:34.000000,2020-02-25 14:31:53,879.0,,108.0,28.0,60.0,27.0,74.0,848.0,ML-Ensemble high performance ensemble learning.,7.0,22,False,2018-10-30 22:34:35.000,0.2.3,14.0,mlens,,,,,506.0,505.0,https://pypi.org/project/mlens,2018-10-30 22:30:43.000,1.0,2017.0,2017.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +655,gmaps,pbugnion/gmaps,geospatial-data,,https://github.com/pbugnion/gmaps,https://github.com/pbugnion/gmaps,BSD-3-Clause,2014-12-01 09:12:06.000,2023-06-16 13:23:14.332000,2019-07-22 06:22:45,1380.0,,147.0,25.0,154.0,79.0,137.0,760.0,Google maps for Jupyter notebooks.,16.0,22,False,2019-07-21 08:49:48.715,0.9.0,96.0,gmaps,conda-forge/gmaps,,,['jupyter'],18.0,,https://pypi.org/project/gmaps,2021-12-15 15:42:57.506,13.0,5022.0,9226.0,https://anaconda.org/conda-forge/gmaps,2023-06-16 13:23:14.332,353770.0,,,,,3.0,,,,jupyter-gmaps,https://www.npmjs.com/package/jupyter-gmaps,2019-07-21 08:49:48.715,5.0,359.0,,,,,,,,,,,, +656,vecstack,vecxoz/vecstack,others,,https://github.com/vecxoz/vecstack,https://github.com/vecxoz/vecstack,MIT,2016-11-08 13:23:21.000,2024-08-14 09:00:03.000000,2019-10-30 09:27:48,189.0,,83.0,21.0,12.0,,39.0,689.0,Python package for stacking (machine learning technique).,1.0,22,False,2019-08-12 16:09:01.000,0.4.0,6.0,vecstack,conda-forge/vecstack,,,,545.0,540.0,https://pypi.org/project/vecstack,2019-08-12 16:01:22.000,5.0,11505.0,11560.0,https://anaconda.org/conda-forge/vecstack,2023-06-16 19:26:00.374,2454.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +657,HpBandSter,automl/HpBandSter,hyperopt,,https://github.com/automl/HpBandSter,https://github.com/automl/HpBandSter,BSD-3-Clause,2017-12-17 20:28:20.000,2023-06-16 19:24:00.330000,2022-04-22 06:33:31,188.0,,109.0,26.0,23.0,66.0,35.0,614.0,a distributed Hyperband implementation on Steroids.,11.0,22,False,2019-07-30 12:47:43.000,1.0,8.0,hpbandster,conda-forge/hpbandster,,,,514.0,489.0,https://pypi.org/project/hpbandster,2018-11-06 12:56:55.000,25.0,8421.0,8827.0,https://anaconda.org/conda-forge/hpbandster,2023-06-16 19:24:00.330,19914.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +658,random-forest-importances,parrt/random-forest-importances,interpretability,,https://github.com/parrt/random-forest-importances,https://github.com/parrt/random-forest-importances,MIT,2018-03-22 19:20:13.000,2024-09-29 18:55:40.000000,2024-09-29 18:55:40,251.0,,131.0,22.0,20.0,8.0,31.0,605.0,Code to compute permutation and drop-column importances in Python scikit-learn models.,15.0,22,True,2021-01-28 23:23:17.000,1.3.7,22.0,rfpimp,,,,['sklearn'],176.0,171.0,https://pypi.org/project/rfpimp,2021-01-28 23:19:33.000,5.0,12291.0,12291.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +659,happy-transformer,EricFillion/happy-transformer,nlp,,https://github.com/EricFillion/happy-transformer,https://github.com/EricFillion/happy-transformer,Apache-2.0,2019-10-06 22:02:12.000,2024-08-01 23:26:59.000000,2024-03-19 15:52:03,1216.0,,68.0,7.0,211.0,21.0,109.0,527.0,Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.,14.0,22,True,2023-08-07 03:02:27.000,3.0.0,40.0,happytransformer,,,,['huggingface'],304.0,299.0,https://pypi.org/project/happytransformer,2023-08-05 22:54:02.000,5.0,2212.0,2212.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +660,Studio.ml,studioml/studio,ml-experiments,,https://github.com/studioml/studio,https://github.com/studioml/studio,Apache-2.0,2017-05-15 01:49:28.000,2024-07-06 00:47:45.000000,2023-09-06 17:29:29,2412.0,,52.0,23.0,232.0,57.0,195.0,380.0,Studio: Simplify and expedite model building process.,24.0,22,False,2021-09-14 22:55:51.000,0.0.49,208.0,studioml,,,,,7.0,7.0,https://pypi.org/project/studioml,2021-09-14 22:55:51.000,,2960.0,2960.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +661,TorchUncertainty,ENSTA-U2IS-AI/torch-uncertainty,probabilistics,,https://github.com/ENSTA-U2IS-AI/torch-uncertainty,https://github.com/ENSTA-U2IS-AI/torch-uncertainty,Apache-2.0,2023-02-01 16:21:14.000,2025-01-08 09:54:50.000000,2025-01-06 17:00:58,1471.0,111.0,23.0,9.0,87.0,11.0,29.0,332.0,Open-source framework for uncertainty and deep learning models in PyTorch.,10.0,22,True,2025-01-06 17:10:04.000,0.4.0,17.0,torch-uncertainty,,,,['pytorch'],3.0,,https://pypi.org/project/torch-uncertainty,2025-01-06 17:10:04.000,3.0,824.0,824.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +662,Orion,Epistimio/orion,hyperopt,,https://github.com/Epistimio/orion,https://github.com/Epistimio/orion,BSD-3-Clause,2017-09-07 06:05:21.000,2023-12-11 19:25:59.000000,2023-11-17 21:43:05,4051.0,,50.0,14.0,712.0,217.0,203.0,289.0,Asynchronous Distributed Hyperparameter Optimization.,34.0,22,False,2023-03-02 22:26:01.035,0.2.7,26.0,orion,,,,,121.0,113.0,https://pypi.org/project/orion,2022-08-22 17:10:40.826,8.0,787.0,787.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +663,py3nvml,fbcotter/py3nvml,gpu-utilities,,https://github.com/fbcotter/py3nvml,https://github.com/fbcotter/py3nvml,BSD-3-Clause,2016-11-21 01:07:37.000,2023-09-25 06:14:21.168000,2022-04-14 09:41:50,86.0,,33.0,12.0,9.0,5.0,12.0,242.0,Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your program.,9.0,22,False,2021-11-22 14:30:25.000,0.2.7,14.0,py3nvml,conda-forge/py3nvml,,,,1363.0,1306.0,https://pypi.org/project/py3nvml,2021-11-22 14:30:25.000,57.0,73668.0,75450.0,https://anaconda.org/conda-forge/py3nvml,2023-09-25 06:14:21.168,90886.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +664,stop-words,Alir3z4/python-stop-words,nlp,,https://github.com/Alir3z4/python-stop-words,https://github.com/Alir3z4/python-stop-words,BSD-3-Clause,2014-05-26 06:44:03.000,2024-03-12 10:32:40.000000,2018-07-23 21:04:09,90.0,,29.0,7.0,20.0,5.0,9.0,155.0,Get list of common stop words in various languages in Python.,8.0,22,False,2018-07-23 20:58:34.000,2018.7.23,8.0,stop-words,,,,,2467.0,2423.0,https://pypi.org/project/stop-words,2018-07-23 20:55:55.000,44.0,116484.0,116484.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +665,DEβ«ΆTR,facebookresearch/detr,image,,https://github.com/facebookresearch/detr,https://github.com/facebookresearch/detr,Apache-2.0,2020-05-26 23:54:52.000,2024-03-12 15:58:25.000000,2024-03-12 15:58:25,48.0,,2441.0,150.0,89.0,255.0,286.0,13857.0,End-to-End Object Detection with Transformers.,27.0,21,True,2020-06-29 16:41:01.000,0.2,1.0,,,,,['pytorch'],21.0,21.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +666,nebullvm,nebuly-ai/nebullvm,model-serialisation,,https://github.com/nebuly-ai/optimate,https://github.com/nebuly-ai/optimate,Apache-2.0,2022-02-12 17:17:14.000,2024-07-22 02:07:03.000000,2024-07-22 02:07:02,771.0,,634.0,93.0,152.0,100.0,102.0,8375.0,A collection of libraries to optimise AI model performances.,40.0,21,True,2023-06-18 11:03:00.511,0.10.0,26.0,nebullvm,,,,,2.0,,https://pypi.org/project/nebullvm,2023-06-18 11:03:00.511,2.0,724.0,724.0,,,,,,,,3.0,,,nebuly-ai/optimate,,,,,,,,,,,,,,,,, +667,PySlowFast,facebookresearch/SlowFast,image,,https://github.com/facebookresearch/SlowFast,https://github.com/facebookresearch/SlowFast,Apache-2.0,2019-08-20 22:47:26.000,2024-11-26 11:06:14.000000,2024-11-26 10:38:20,194.0,1.0,1210.0,97.0,51.0,409.0,291.0,6732.0,PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.,34.0,21,True,,,1.0,pyslowfast,,,,['pytorch'],22.0,22.0,https://pypi.org/project/pyslowfast,2020-01-15 23:51:07.000,,42.0,42.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +668,graph-nets,deepmind/graph_nets,graph,,https://github.com/google-deepmind/graph_nets,https://github.com/google-deepmind/graph_nets,Apache-2.0,2018-08-31 08:19:28.000,2022-12-12 11:28:07.000000,2022-12-12 11:28:07,48.0,,782.0,225.0,25.0,8.0,122.0,5367.0,Build Graph Nets in Tensorflow.,11.0,21,False,2020-01-29 16:00:25.000,1.1.0,7.0,graph-nets,,,,['tensorflow'],22.0,20.0,https://pypi.org/project/graph-nets,2020-01-29 16:00:25.000,2.0,944.0,944.0,,,,,,,,3.0,,,google-deepmind/graph_nets,,,,,,,,,,,,,,,,, +669,mace,XiaoMi/mace,ml-frameworks,,https://github.com/XiaoMi/mace,https://github.com/XiaoMi/mace,Apache-2.0,2018-06-27 03:50:12.000,2024-06-17 09:17:33.000000,2024-03-11 13:23:01,3347.0,,820.0,229.0,111.0,57.0,622.0,4985.0,MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.,69.0,21,True,2022-01-13 09:55:14.000,1.1.1,12.0,,,,,,,,,,,,20.0,,,,,,,,3.0,1542.0,,,,,,,,,,,,,,,,,,, +670,Image Super-Resolution,idealo/image-super-resolution,image,,https://github.com/idealo/image-super-resolution,https://github.com/idealo/image-super-resolution,Apache-2.0,2018-11-26 13:41:13.000,2024-12-18 16:08:09.000000,2024-12-18 16:08:09,151.0,1.0,746.0,103.0,35.0,107.0,113.0,4690.0,Super-scale your images and run experiments with Residual Dense and Adversarial Networks.,11.0,21,True,2020-01-08 15:37:35.000,2.2.0,11.0,ISR,,idealo/image-super-resolution-gpu,,['tensorflow'],5.0,,https://pypi.org/project/ISR,2020-01-08 15:37:35.000,5.0,4984.0,4987.0,,,,https://hub.docker.com/r/idealo/image-super-resolution-gpu,2019-04-01 13:48:45.697251,1.0,273.0,3.0,,,,,,,,,,,,,,,,,,,, +671,tf-quant-finance,google/tf-quant-finance,financial-data,,https://github.com/google/tf-quant-finance,https://github.com/google/tf-quant-finance,Apache-2.0,2019-07-24 16:09:50.000,2024-11-06 15:17:48.000000,2024-11-06 15:17:44,957.0,1.0,581.0,171.0,47.0,35.0,28.0,4638.0,High-performance TensorFlow library for quantitative finance.,47.0,21,True,,,30.0,tf-quant-finance,,,,['tensorflow'],3.0,,https://pypi.org/project/tf-quant-finance,2022-08-19 12:40:54.257,3.0,885.0,885.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +672,igel,nidhaloff/igel,hyperopt,,https://github.com/nidhaloff/igel,https://github.com/nidhaloff/igel,MIT,2020-08-27 20:54:59.000,2023-04-08 21:24:52.000000,2023-04-08 21:24:51,429.0,,177.0,65.0,55.0,6.0,44.0,3096.0,"a delightful machine learning tool that allows you to train, test, and use models without writing code.",22.0,21,False,2021-11-19 16:51:47.000,1.0.0,34.0,igel,,,,,6.0,6.0,https://pypi.org/project/igel,2021-11-19 16:45:29.543,,768.0,769.0,,,,,,,,3.0,54.0,,,,,,,,,,,,,,,,,,, +673,AdaBound,Luolc/AdaBound,pytorch-utils,,https://github.com/Luolc/AdaBound,https://github.com/Luolc/AdaBound,Apache-2.0,2019-02-15 18:05:20.000,2023-07-23 10:44:20.000000,2019-03-06 17:01:45,27.0,,331.0,71.0,2.0,19.0,7.0,2908.0,An optimizer that trains as fast as Adam and as good as SGD.,2.0,21,False,2019-03-06 16:44:42.000,0.0.5,4.0,adabound,,,,['pytorch'],219.0,216.0,https://pypi.org/project/adabound,2019-02-26 04:23:45.000,3.0,1583.0,1583.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +674,pdftabextract,WZBSocialScienceCenter/pdftabextract,ocr,,https://github.com/WZBSocialScienceCenter/pdftabextract,https://github.com/WZBSocialScienceCenter/pdftabextract,Apache-2.0,2016-07-08 11:44:46.000,2022-06-24 09:51:22.000000,2022-06-24 09:51:22,171.0,,372.0,84.0,4.0,5.0,18.0,2227.0,A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.,3.0,21,False,2018-01-09 08:00:24.000,0.3.0,5.0,pdftabextract,,,,,51.0,51.0,https://pypi.org/project/pdftabextract,2018-01-09 08:00:24.000,,445.0,445.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +675,reformer-pytorch,lucidrains/reformer-pytorch,pytorch-utils,,https://github.com/lucidrains/reformer-pytorch,https://github.com/lucidrains/reformer-pytorch,MIT,2020-01-09 20:42:37.000,2023-06-21 14:17:49.000000,2023-06-21 14:07:30,249.0,,252.0,54.0,35.0,16.0,105.0,2140.0,"Reformer, the efficient Transformer, in Pytorch.",11.0,21,False,2021-11-06 23:09:00.000,1.4.4,139.0,reformer-pytorch,,,,['pytorch'],,,https://pypi.org/project/reformer-pytorch,2021-11-06 23:09:00.000,,11558.0,11558.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +676,ecco,jalammar/ecco,interpretability,,https://github.com/jalammar/ecco,https://github.com/jalammar/ecco,BSD-3-Clause,2020-11-07 10:06:34.000,2024-08-15 19:08:06.000000,2024-08-15 19:08:06,312.0,,165.0,24.0,34.0,33.0,31.0,1994.0,"Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter..",12.0,21,True,2022-01-09 21:17:53.000,0.1.2,18.0,ecco,conda-forge/ecco,,,['pytorch'],33.0,32.0,https://pypi.org/project/ecco,2022-01-09 21:14:50.000,1.0,896.0,1059.0,https://anaconda.org/conda-forge/ecco,2023-06-16 19:28:19.211,5993.0,,,,,3.0,130.0,,,,,,,,,,,,,,,,,,, +677,lore,instacart/lore,ml-experiments,,https://github.com/instacart/lore,https://github.com/instacart/lore,MIT,2017-10-19 21:51:45.000,2023-05-13 02:26:19.000000,2022-09-27 19:41:48,274.0,,135.0,100.0,150.0,21.0,20.0,1550.0,Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers.,29.0,21,False,2022-02-18 18:01:38.000,0.8.6,233.0,lore,,,,,24.0,24.0,https://pypi.org/project/lore,2022-02-18 18:01:38.000,,3868.0,3868.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +678,MLBox,AxeldeRomblay/MLBox,hyperopt,,https://github.com/AxeldeRomblay/MLBox,https://github.com/AxeldeRomblay/MLBox,BSD-1-Clause,2017-06-01 16:59:24.000,2023-08-06 18:20:04.000000,2020-08-25 09:26:27,1121.0,,271.0,65.0,51.0,23.0,75.0,1503.0,MLBox is a powerful Automated Machine Learning python library.,9.0,21,False,2020-08-25 09:32:37.000,0.8.5,21.0,mlbox,,,,,37.0,37.0,https://pypi.org/project/mlbox,2020-08-25 09:32:37.000,,482.0,482.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +679,anaGo,Hironsan/anago,nlp,,https://github.com/Hironsan/anago,https://github.com/Hironsan/anago,MIT,2017-06-26 21:28:36.000,2022-12-07 23:44:31.000000,2021-04-01 12:34:50,298.0,,351.0,61.0,47.0,37.0,71.0,1476.0,"Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.",11.0,21,False,2018-07-17 01:59:21.000,1.0.8,14.0,anago,,,,['tensorflow'],41.0,35.0,https://pypi.org/project/anago,2018-07-17 01:59:21.000,6.0,429.0,429.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +680,DiCE,interpretml/DiCE,interpretability,,https://github.com/interpretml/DiCE,https://github.com/interpretml/DiCE,MIT,2019-05-02 09:51:02.000,2024-11-22 18:05:50.000000,2024-11-22 17:35:27,783.0,4.0,187.0,19.0,264.0,88.0,94.0,1374.0,Generate Diverse Counterfactual Explanations for any machine learning model.,19.0,21,True,2023-10-26 11:36:48.000,0.11,12.0,dice-ml,,,,"['tensorflow', 'pytorch']",6.0,,https://pypi.org/project/dice-ml,2023-10-27 03:54:06.000,6.0,28727.0,28727.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +681,tensorrec,jfkirk/tensorrec,recommender-systems,,https://github.com/jfkirk/tensorrec,https://github.com/jfkirk/tensorrec,Apache-2.0,2017-02-28 18:51:11.000,2023-05-22 21:34:54.000000,2020-02-04 21:10:25,334.0,,221.0,64.0,48.0,40.0,90.0,1278.0,A TensorFlow recommendation algorithm and framework in Python.,9.0,21,False,2019-04-02 00:53:47.000,0.26.2,30.0,tensorrec,,,,['tensorflow'],37.0,37.0,https://pypi.org/project/tensorrec,2019-04-02 00:53:47.000,,361.0,361.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +682,Sockeye,awslabs/sockeye,nlp,,https://github.com/awslabs/sockeye,https://github.com/awslabs/sockeye,Apache-2.0,2017-06-08 07:44:30.000,2024-10-24 08:18:17.000000,2024-10-24 08:17:36,836.0,1.0,323.0,50.0,798.0,11.0,300.0,1213.0,Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch.,60.0,21,True,2023-03-03 07:51:00.411,3.1.34,85.0,sockeye,,,,['mxnet'],,,https://pypi.org/project/sockeye,2023-03-03 07:51:00.411,,1632.0,1632.0,,,,,,,,3.0,21.0,,,,,,,,,,,,,,,,,,, +683,attention-ocr,emedvedev/attention-ocr,ocr,,https://github.com/emedvedev/attention-ocr,https://github.com/emedvedev/attention-ocr,MIT,2017-07-21 18:35:19.000,2023-10-20 17:48:54.000000,2023-10-20 17:48:54,207.0,,250.0,48.0,46.0,26.0,127.0,1080.0,A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and..,28.0,21,False,2020-10-12 06:56:40.000,0.7.6,21.0,aocr,,,,['tensorflow'],32.0,32.0,https://pypi.org/project/aocr,2019-04-19 05:28:27.000,,651.0,651.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +684,fastFM,ibayer/fastFM,recommender-systems,,https://github.com/ibayer/fastFM,https://github.com/ibayer/fastFM,BSD-3-Clause,2014-10-27 12:25:51.000,2022-07-17 13:12:39.000000,2021-03-24 12:22:31,297.0,,206.0,28.0,61.0,52.0,61.0,1079.0,fastFM: A Library for Factorization Machines.,20.0,21,False,2017-11-23 06:59:56.000,0.2.11,10.0,fastfm,,,,,130.0,127.0,https://pypi.org/project/fastfm,2017-11-23 06:59:56.000,3.0,1020.0,1026.0,,,,,,,,3.0,792.0,,,,,,,,,,,,,,,,,,, +685,TensorNets,taehoonlee/tensornets,tensorflow-utils,,https://github.com/taehoonlee/tensornets,https://github.com/taehoonlee/tensornets,MIT,2017-09-19 05:19:01.000,2021-01-02 06:28:10.000000,2021-01-02 06:26:24,284.0,,182.0,52.0,12.0,16.0,42.0,1003.0,High level network definitions with pre-trained weights in TensorFlow.,6.0,21,False,2020-03-31 04:38:27.000,0.4.6,12.0,tensornets,,,,['tensorflow'],89.0,85.0,https://pypi.org/project/tensornets,2020-03-31 04:35:15.000,4.0,159.0,159.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +686,Baal,baal-org/baal,probabilistics,,https://github.com/baal-org/baal,https://github.com/baal-org/baal,Apache-2.0,2019-09-30 20:16:26.000,2024-06-27 20:02:41.000000,2024-06-27 20:02:41,240.0,,86.0,18.0,160.0,20.0,94.0,881.0,Bayesian active learning library for research and industrial usecases.,23.0,21,True,2024-06-11 15:50:56.000,2.0.0,21.0,baal,conda-forge/baal,,,,66.0,64.0,https://pypi.org/project/baal,2024-06-11 15:50:56.000,2.0,1746.0,1977.0,https://anaconda.org/conda-forge/baal,2023-06-12 15:14:19.747,11121.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +687,TF Compression,tensorflow/compression,tensorflow-utils,,https://github.com/tensorflow/compression,https://github.com/tensorflow/compression,Apache-2.0,2018-05-15 23:32:19.000,2024-12-17 19:11:53.000000,2024-12-17 19:10:41,298.0,2.0,251.0,46.0,18.0,11.0,92.0,866.0,Data compression in TensorFlow.,24.0,21,True,2024-08-07 20:25:13.000,2.17.0,26.0,tensorflow-compression,,,,['tensorflow'],2.0,,https://pypi.org/project/tensorflow-compression,2024-02-02 01:38:32.000,2.0,1943.0,1943.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +688,iterative-stratification,trent-b/iterative-stratification,sklearn-utils,,https://github.com/trent-b/iterative-stratification,https://github.com/trent-b/iterative-stratification,BSD-3-Clause,2018-02-04 00:32:10.000,2024-10-12 16:41:54.000000,2024-10-12 16:34:55,60.0,2.0,75.0,6.0,5.0,2.0,25.0,855.0,scikit-learn cross validators for iterative stratification of multilabel data.,7.0,21,True,2024-10-12 16:41:54.000,0.1.9,8.0,iterative-stratification,,,,['sklearn'],543.0,528.0,https://pypi.org/project/iterative-stratification,2024-10-12 16:41:54.000,15.0,25681.0,25681.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +689,deeplift,kundajelab/deeplift,interpretability,,https://github.com/kundajelab/deeplift,https://github.com/kundajelab/deeplift,MIT,2016-06-01 02:18:06.000,2022-04-28 10:04:52.000000,2021-11-11 17:50:26,553.0,,163.0,37.0,46.0,43.0,49.0,844.0,Public facing deeplift repo.,11.0,21,False,2018-07-13 21:11:52.000,0.6.6,21.0,deeplift,,,,,111.0,102.0,https://pypi.org/project/deeplift,2020-11-11 09:32:57.000,9.0,668.0,668.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +690,Objax,google/objax,ml-frameworks,,https://github.com/google/objax,https://github.com/google/objax,Apache-2.0,2020-08-20 06:20:40.000,2024-01-27 00:16:56.000000,2024-01-27 00:08:50,463.0,,78.0,25.0,162.0,51.0,62.0,771.0,Objax is a machine learning framework that provides an Object Oriented layer for JAX.,26.0,21,True,2023-11-06 22:17:30.000,1.8.0,11.0,objax,,,,['jax'],69.0,65.0,https://pypi.org/project/objax,2023-11-06 22:03:10.000,4.0,659.0,659.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +691,TreeInterpreter,andosa/treeinterpreter,interpretability,,https://github.com/andosa/treeinterpreter,https://github.com/andosa/treeinterpreter,BSD-3-Clause,2015-08-02 20:26:21.000,2023-07-18 10:50:27.000000,2021-02-28 18:33:06,37.0,,140.0,25.0,19.0,26.0,5.0,748.0,Package for interpreting scikit-learns decision tree and random forest predictions.,11.0,21,False,2021-01-10 20:12:39.000,0.2.3,5.0,treeinterpreter,conda-forge/treeinterpreter,,,['sklearn'],683.0,675.0,https://pypi.org/project/treeinterpreter,2021-01-10 20:12:39.000,8.0,49876.0,50048.0,https://anaconda.org/conda-forge/treeinterpreter,2023-06-16 19:22:55.011,8812.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +692,Test Tube,williamFalcon/test-tube,hyperopt,,https://github.com/williamFalcon/test-tube,https://github.com/williamFalcon/test-tube,MIT,2017-09-06 02:14:57.000,2022-07-22 06:10:37.000000,2020-03-17 22:44:47,642.0,,74.0,25.0,37.0,27.0,21.0,736.0,Python library to easily log experiments and parallelize hyperparameter search for neural networks.,16.0,21,False,2019-12-01 01:19:50.000,0.7.5,64.0,test_tube,,,,,35.0,,https://pypi.org/project/test_tube,2019-12-01 01:19:50.000,35.0,34978.0,34978.0,,,,,,,,3.0,29.0,,,,,,,,,,,,,,,,,,, +693,finetune,IndicoDataSolutions/finetune,nlp,,https://github.com/IndicoDataSolutions/finetune,https://github.com/IndicoDataSolutions/finetune,MPL-2.0,2018-06-12 17:02:16.000,2025-01-03 13:26:25.000000,2025-01-03 13:26:20,1509.0,1.0,79.0,33.0,692.0,22.0,118.0,707.0,Scikit-learn style model finetuning for NLP.,23.0,21,True,2023-09-29 10:19:51.000,0.10.0,39.0,finetune,,,,"['tensorflow', 'sklearn']",15.0,13.0,https://pypi.org/project/finetune,2023-09-29 10:19:51.000,2.0,770.0,770.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +694,combo,yzhao062/combo,sklearn-utils,,https://github.com/yzhao062/combo,https://github.com/yzhao062/combo,BSD-2-Clause,2019-07-14 01:13:36.000,2023-01-14 04:46:24.000000,2023-01-14 04:46:24,210.0,,107.0,30.0,1.0,15.0,3.0,645.0,(AAAI 20) A Python Toolbox for Machine Learning Model Combination.,2.0,21,False,2022-04-02 16:20:07.000,0.1.3,13.0,combo,,,,"['sklearn', 'xgboost']",693.0,676.0,https://pypi.org/project/combo,2022-04-02 16:20:07.000,17.0,16925.0,16925.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +695,Torchbearer,pytorchbearer/torchbearer,ml-frameworks,,https://github.com/pytorchbearer/torchbearer,https://github.com/pytorchbearer/torchbearer,MIT,2018-03-12 16:30:42.000,2023-12-04 11:10:47.000000,2023-12-04 11:10:46,442.0,,68.0,25.0,433.0,10.0,237.0,637.0,torchbearer: A model fitting library for PyTorch.,14.0,21,False,2023-12-01 18:48:07.000,0.5.5,26.0,torchbearer,,,,['pytorch'],98.0,94.0,https://pypi.org/project/torchbearer,2023-12-01 18:48:07.000,4.0,462.0,462.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +696,TensorBoard Logger,TeamHG-Memex/tensorboard_logger,ml-experiments,,https://github.com/TeamHG-Memex/tensorboard_logger,https://github.com/TeamHG-Memex/tensorboard_logger,MIT,2016-10-27 14:02:25.000,2022-12-26 20:24:35.000000,2019-10-21 07:52:07,46.0,,50.0,29.0,12.0,13.0,15.0,631.0,Log TensorBoard events without touching TensorFlow.,5.0,21,False,2018-02-08 07:28:51.000,0.1.0,5.0,tensorboard_logger,,,,,240.0,232.0,https://pypi.org/project/tensorboard_logger,2018-02-08 07:28:51.000,8.0,30173.0,30173.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +697,skope-rules,scikit-learn-contrib/skope-rules,sklearn-utils,,https://github.com/scikit-learn-contrib/skope-rules,https://github.com/scikit-learn-contrib/skope-rules,BSD-1-Clause,2018-02-18 13:42:47.000,2024-01-31 14:01:51.000000,2023-02-14 11:18:28,249.0,,98.0,26.0,32.0,35.0,6.0,626.0,machine learning with logical rules in Python.,19.0,21,False,2020-12-11 09:37:02.000,1.0.1,4.0,skope-rules,,,,['sklearn'],417.0,409.0,https://pypi.org/project/skope-rules,2020-01-25 12:01:37.000,8.0,31481.0,31481.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +698,Neuraxle,Neuraxio/Neuraxle,hyperopt,,https://github.com/Neuraxio/Neuraxle,https://github.com/Neuraxio/Neuraxle,Apache-2.0,2019-03-26 21:01:54.000,2023-05-01 22:43:43.000000,2022-08-16 17:43:49,1877.0,,57.0,19.0,216.0,49.0,315.0,609.0,The worlds cleanest AutoML library - Do hyperparameter tuning with the right pipeline abstractions to write clean deep..,9.0,21,False,2022-08-16 19:54:29.000,0.8.1,27.0,neuraxle,,,,,67.0,66.0,https://pypi.org/project/neuraxle,2022-08-16 19:50:37.507,1.0,400.0,400.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +699,small-text,webis-de/small-text,nlp,,https://github.com/webis-de/small-text,https://github.com/webis-de/small-text,MIT,2021-05-24 08:06:41.000,2025-01-06 14:00:18.000000,2025-01-01 13:42:10,705.0,31.0,66.0,24.0,10.0,15.0,47.0,604.0,Active Learning for Text Classification in Python.,9.0,21,True,2024-11-24 19:15:11.000,2.0.0.de1,23.0,small-text,conda-forge/small-text,,,"['sklearn', 'pytorch']",33.0,33.0,https://pypi.org/project/small-text,2024-11-24 18:42:07.000,,589.0,970.0,https://anaconda.org/conda-forge/small-text,2025-01-05 17:19:16.066,11432.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +700,featurewiz,AutoViML/featurewiz,hyperopt,,https://github.com/AutoViML/featurewiz,https://github.com/AutoViML/featurewiz,Apache-2.0,2020-11-29 16:46:16.000,2024-05-02 14:24:25.000000,2024-05-02 14:23:46,346.0,,90.0,7.0,20.0,10.0,95.0,596.0,Use advanced feature engineering strategies and select best features from your data set with a single line of code...,18.0,21,True,2024-02-10 13:12:00.000,0.5.7,162.0,featurewiz,,,,,82.0,80.0,https://pypi.org/project/featurewiz,2024-02-10 13:12:00.000,2.0,25448.0,25448.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +701,PyWaffle,gyli/PyWaffle,data-viz,,https://github.com/gyli/PyWaffle,https://github.com/gyli/PyWaffle,MIT,2017-11-14 20:03:47.000,2024-06-16 04:23:17.000000,2024-06-16 04:23:17,307.0,,106.0,9.0,15.0,6.0,16.0,590.0,Make Waffle Charts in Python.,6.0,21,True,2024-06-16 04:18:08.000,1.1.1,28.0,pywaffle,conda-forge/pywaffle,,,,456.0,450.0,https://pypi.org/project/pywaffle,2024-06-16 04:18:08.000,6.0,10505.0,10701.0,https://anaconda.org/conda-forge/pywaffle,2023-06-16 16:12:33.889,14372.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +702,seglearn,dmbee/seglearn,time-series-data,,https://github.com/dmbee/seglearn,https://github.com/dmbee/seglearn,BSD-3-Clause,2018-03-05 20:53:59.000,2022-08-27 09:01:18.000000,2022-08-27 09:00:35,283.0,,64.0,26.0,31.0,5.0,24.0,573.0,Python module for machine learning time series:.,14.0,21,False,2022-08-27 09:04:02.113,1.2.5,24.0,seglearn,,,,,53.0,51.0,https://pypi.org/project/seglearn,2021-03-13 16:18:30.000,2.0,2058.0,2058.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +703,joypy,leotac/joypy,data-viz,,https://github.com/leotac/joypy,https://github.com/leotac/joypy,MIT,2017-07-30 17:18:50.000,2024-03-21 11:25:40.000000,2021-12-19 09:41:43,133.0,,59.0,10.0,21.0,16.0,37.0,573.0,Joyplots in Python with matplotlib & pandas.,8.0,21,False,2021-12-19 09:42:50.000,0.2.6,17.0,joypy,conda-forge/joypy,,,,497.0,488.0,https://pypi.org/project/joypy,2021-12-19 09:42:50.000,9.0,11211.0,11629.0,https://anaconda.org/conda-forge/joypy,2023-06-16 16:14:43.440,29286.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +704,Poutyne,GRAAL-Research/poutyne,pytorch-utils,,https://github.com/GRAAL-Research/poutyne,https://github.com/GRAAL-Research/poutyne,LGPL-3.0,2017-12-07 18:30:17.000,2024-12-03 23:28:10.000000,2024-12-03 23:20:00,773.0,2.0,65.0,17.0,116.0,8.0,48.0,572.0,A simplified framework and utilities for PyTorch.,23.0,21,False,2024-12-03 23:22:07.000,1.17.3,39.0,poutyne,,,,['pytorch'],149.0,144.0,https://pypi.org/project/poutyne,2024-12-03 23:22:26.000,5.0,2775.0,2775.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +705,Quantus,understandable-machine-intelligence-lab/quantus,interpretability,,https://github.com/understandable-machine-intelligence-lab/Quantus,https://github.com/understandable-machine-intelligence-lab/Quantus,GPL-3.0,2021-03-18 15:04:58.000,2024-11-09 11:50:38.000000,2024-11-09 11:50:38,1794.0,7.0,75.0,10.0,220.0,50.0,83.0,569.0,Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations.,24.0,21,False,2023-12-05 11:42:47.000,0.5.3,27.0,quantus,,,,,40.0,39.0,https://pypi.org/project/quantus,2023-12-05 11:42:47.000,1.0,1257.0,1265.0,,,,,,,,3.0,285.0,,,,,,,,,,,,,,,,,,, +706,pyhsmm,mattjj/pyhsmm,probabilistics,,https://github.com/mattjj/pyhsmm,https://github.com/mattjj/pyhsmm,MIT,2012-03-18 17:40:13.000,2022-10-26 08:37:57.000000,2020-08-24 17:03:59,1426.0,,169.0,56.0,20.0,39.0,60.0,551.0,Bayesian inference in HSMMs and HMMs.,13.0,21,False,2017-05-10 17:14:37.000,0.1.7,8.0,pyhsmm,,,,,35.0,34.0,https://pypi.org/project/pyhsmm,2017-05-10 17:14:37.000,1.0,227.0,227.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +707,tick,X-DataInitiative/tick,time-series-data,,https://github.com/X-DataInitiative/tick,https://github.com/X-DataInitiative/tick,BSD-3-Clause,2016-12-01 10:59:08.000,2024-11-27 12:27:25.000000,2023-03-05 00:16:57,419.0,,109.0,36.0,277.0,85.0,174.0,494.0,"Module for statistical learning, with a particular emphasis on time-dependent modelling.",20.0,21,False,2019-09-11 11:25:15.000,0.6,23.0,tick,,,,,91.0,89.0,https://pypi.org/project/tick,2020-05-24 22:01:17.000,2.0,1004.0,1008.0,,,,,,,,3.0,402.0,,,,,,,,,,,,,,,,,,, +708,chefboost,serengil/chefboost,ml-frameworks,,https://github.com/serengil/chefboost,https://github.com/serengil/chefboost,MIT,2019-03-06 12:26:27.000,2024-10-30 20:48:45.000000,2024-10-30 20:48:45,404.0,5.0,101.0,18.0,11.0,,50.0,466.0,"A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some..",7.0,21,True,2024-10-30 20:46:59.000,0.0.19,19.0,chefboost,,,,,65.0,65.0,https://pypi.org/project/chefboost,2024-10-30 20:46:59.000,,6823.0,6823.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +709,Julius,adefossez/julius,audio,,https://github.com/adefossez/julius,https://github.com/adefossez/julius,MIT,2020-10-26 10:54:21.000,2022-09-26 14:14:12.000000,2022-09-19 16:13:14,69.0,,25.0,9.0,9.0,2.0,9.0,432.0,Fast PyTorch based DSP for audio and 1D signals.,2.0,21,False,2022-09-20 06:43:57.063,0.2.7,11.0,julius,,,,['pytorch'],2282.0,2238.0,https://pypi.org/project/julius,2022-09-20 06:43:57.063,44.0,286710.0,286710.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +710,SUOD,yzhao062/SUOD,others,,https://github.com/yzhao062/SUOD,https://github.com/yzhao062/SUOD,BSD-2-Clause,2019-11-20 00:23:54.000,2024-02-08 01:53:44.000000,2024-02-08 01:48:49,168.0,,49.0,17.0,2.0,12.0,3.0,385.0,(MLSys 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection).,3.0,21,True,2024-02-08 01:53:44.000,0.1.3,14.0,suod,,,,,546.0,538.0,https://pypi.org/project/suod,2024-02-08 01:53:44.000,8.0,9977.0,9977.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +711,TimeSide,Parisson/TimeSide,audio,,https://github.com/Parisson/TimeSide,https://github.com/Parisson/TimeSide,AGPL-3.0,2011-11-21 21:48:08.000,2024-10-14 17:26:35.000000,2024-10-14 15:20:39,3847.0,3.0,60.0,29.0,110.0,33.0,184.0,378.0,scalable audio processing framework and server written in Python.,23.0,21,False,2023-01-03 17:34:09.000,1.1.3,28.0,TimeSide,,,,,20.0,20.0,https://pypi.org/project/TimeSide,2020-11-27 09:33:19.000,,379.0,379.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +712,TensorFlow Cloud,tensorflow/cloud,tensorflow-utils,,https://github.com/tensorflow/cloud,https://github.com/tensorflow/cloud,Apache-2.0,2020-02-10 18:51:59.000,2024-02-25 19:17:18.000000,2024-02-25 19:17:13,576.0,,90.0,29.0,319.0,76.0,27.0,377.0,The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and..,27.0,21,True,2021-06-17 01:15:10.000,0.1.16,19.0,tensorflow-cloud,,,,['tensorflow'],7.0,,https://pypi.org/project/tensorflow-cloud,2021-06-17 01:15:10.000,7.0,33816.0,33816.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +713,impyute,eltonlaw/impyute,others,,https://github.com/eltonlaw/impyute,https://github.com/eltonlaw/impyute,MIT,2017-01-21 09:16:27.000,2021-11-06 21:15:04.000000,2021-11-06 21:15:04,292.0,,49.0,11.0,37.0,29.0,37.0,358.0,Data imputations library to preprocess datasets with missing data.,11.0,21,False,2019-04-29 02:33:05.659,0.0.8,8.0,impyute,,,,,260.0,244.0,https://pypi.org/project/impyute,2017-05-31 08:31:47.000,16.0,3004.0,3004.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +714,upgini,upgini/upgini,tabular,,https://github.com/upgini/upgini,https://github.com/upgini/upgini,BSD-3-Clause,2021-12-08 21:53:58.000,2025-01-09 14:36:40.000000,2025-01-09 14:36:31,813.0,20.0,25.0,6.0,303.0,4.0,,323.0,Data search & enrichment library for Machine Learning Easily find and add relevant features to your ML & AI pipeline..,13.0,21,True,2025-01-08 21:40:04.000,1.2.29,870.0,upgini,,,,,9.0,9.0,https://pypi.org/project/upgini,2025-01-08 21:40:04.000,,14053.0,14053.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +715,sk-dist,Ibotta/sk-dist,distributed-ml,,https://github.com/Ibotta/sk-dist,https://github.com/Ibotta/sk-dist,Apache-2.0,2019-08-14 21:07:17.000,2024-04-18 12:38:22.000000,2023-02-07 20:17:52,60.0,,56.0,26.0,42.0,8.0,10.0,285.0,Distributed scikit-learn meta-estimators in PySpark.,8.0,21,False,2020-05-14 22:20:14.000,0.1.9,12.0,sk-dist,,,,"['sklearn', 'spark']",21.0,19.0,https://pypi.org/project/sk-dist,2020-05-14 22:20:14.000,2.0,480588.0,480588.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +716,Glow,projectglow/glow,medical-data,,https://github.com/projectglow/glow,https://github.com/projectglow/glow,Apache-2.0,2019-10-04 21:26:47.000,2024-12-29 00:12:24.000000,2024-11-07 18:17:34,501.0,8.0,108.0,20.0,569.0,58.0,130.0,274.0,An open-source toolkit for large-scale genomic analysis.,28.0,21,False,2024-10-20 03:22:37.000,2.0.3,17.0,glow.py,conda-forge/glow,,,,,,https://pypi.org/project/glow.py,2024-03-12 08:52:09.000,,33323.0,33445.0,https://anaconda.org/conda-forge/glow,2024-03-13 03:00:18.463,5660.0,,,,,3.0,126.0,,,,,,,,,,,,,,,,,,, +717,pyRDF2Vec,IBCNServices/pyRDF2Vec,graph,,https://github.com/predict-idlab/pyRDF2Vec,https://github.com/predict-idlab/pyRDF2Vec,MIT,2019-06-13 11:36:12.000,2025-01-06 05:41:37.000000,2023-07-02 18:02:16,1462.0,,50.0,15.0,226.0,22.0,64.0,252.0,Python Implementation and Extension of RDF2Vec.,7.0,21,False,2021-06-09 10:56:14.000,0.2.3,11.0,pyrdf2vec,,,,,52.0,46.0,https://pypi.org/project/pyrdf2vec,2021-06-09 10:56:14.000,6.0,416.0,416.0,,,,,,,,3.0,,,predict-idlab/pyRDF2Vec,,,,,,,,,,,,,,,,, +718,DeepMatcher,anhaidgroup/deepmatcher,nlp,,https://github.com/anhaidgroup/deepmatcher,https://github.com/anhaidgroup/deepmatcher,BSD-3-Clause,2017-12-01 19:01:11.000,2024-06-18 11:46:06.000000,2021-06-13 00:22:13,176.0,,1732.0,20.0,19.0,72.0,24.0,5156.0,Python package for performing Entity and Text Matching using Deep Learning.,7.0,20,False,2021-05-27 22:28:29.000,0.1.2,13.0,deepmatcher,,,,,,,https://pypi.org/project/deepmatcher,2021-06-13 01:13:24.000,,1368.0,1368.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +719,TensorWatch,microsoft/tensorwatch,ml-experiments,,https://github.com/microsoft/tensorwatch,https://github.com/microsoft/tensorwatch,MIT,2019-05-15 08:29:34.000,2023-08-30 07:47:40.000000,2023-08-30 07:47:36,119.0,,357.0,102.0,16.0,53.0,17.0,3428.0,"Debugging, monitoring and visualization for Python Machine Learning and Data Science.",15.0,20,False,2020-03-04 07:26:22.000,0.9.1,14.0,tensorwatch,,,,,166.0,159.0,https://pypi.org/project/tensorwatch,2020-03-04 07:26:22.000,7.0,795.0,795.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +720,lightseq,bytedance/lightseq,nlp,,https://github.com/bytedance/lightseq,https://github.com/bytedance/lightseq,Apache-2.0,2019-12-06 08:25:24.000,2023-05-16 10:47:48.000000,2023-05-10 04:35:39,269.0,,324.0,58.0,242.0,176.0,111.0,3240.0,LightSeq: A High Performance Library for Sequence Processing and Generation.,20.0,20,False,2022-11-03 06:46:55.989,3.0.1,22.0,lightseq,,,,,2.0,,https://pypi.org/project/lightseq,2022-11-03 06:46:55.989,2.0,2201.0,2212.0,,,,,,,,3.0,701.0,,,,,,,,,,,,,,,,,,, +721,image-match,ProvenanceLabs/image-match,image,,https://github.com/rhsimplex/image-match,https://github.com/rhsimplex/image-match,Apache-2.0,2016-03-08 18:16:45.000,2022-12-06 11:29:04.000000,2022-12-06 11:29:04,406.0,,405.0,101.0,54.0,55.0,48.0,2948.0,Quickly search over billions of images.,19.0,20,False,2017-02-13 14:54:48.000,1.1.2,10.0,image_match,,,,,4.0,,https://pypi.org/project/image_match,2017-02-13 14:54:48.000,4.0,966.0,966.0,,,,,,,,3.0,,,rhsimplex/image-match,,,,,,,,,,,,,,,,, +722,StreamAlert,airbnb/streamalert,others,,https://github.com/airbnb/streamalert,https://github.com/airbnb/streamalert,Apache-2.0,2017-01-22 01:10:56.000,2023-10-23 17:15:34.000000,2022-07-20 20:54:36,1904.0,,332.0,101.0,1000.0,94.0,263.0,2859.0,"StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data..",33.0,20,False,2021-11-04 19:07:51.000,3.5.0,28.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +723,DeepWalk,phanein/deepwalk,graph,,https://github.com/phanein/deepwalk,https://github.com/phanein/deepwalk,GPL-3.0,2014-08-23 03:38:20.000,2023-06-14 23:22:41.000000,2020-04-02 01:05:35,46.0,,831.0,85.0,30.0,46.0,80.0,2702.0,DeepWalk - Deep Learning for Graphs.,10.0,20,False,2018-04-29 21:05:18.000,1.0.3,4.0,deepwalk,,,,,76.0,76.0,https://pypi.org/project/deepwalk,2018-04-29 21:05:18.000,,585.0,585.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +724,Coach,IntelLabs/coach,reinforcement-learning,,https://github.com/IntelLabs/coach,https://github.com/IntelLabs/coach,Apache-2.0,2017-10-01 19:27:43.000,2022-12-11 17:54:07.000000,2022-12-11 17:54:06,524.0,,462.0,127.0,225.0,90.0,183.0,2332.0,Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning..,38.0,20,False,2019-10-10 14:17:10.000,1.0.1,13.0,rl_coach,,,,,2.0,,https://pypi.org/project/rl_coach,2019-10-10 14:17:10.000,2.0,117.0,117.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +725,BlazingSQL,BlazingDB/blazingsql,gpu-utilities,,https://github.com/BlazingDB/blazingsql,https://github.com/BlazingDB/blazingsql,Apache-2.0,2018-09-24 18:25:45.000,2023-06-16 16:17:31.557000,2021-09-30 21:51:09,8208.0,,182.0,55.0,895.0,129.0,586.0,1938.0,"BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.",52.0,20,False,2021-08-16 15:40:43.000,21.08.00,19.0,,blazingsql/blazingsql-protocol,,,,,,,,,,16.0,https://anaconda.org/blazingsql/blazingsql-protocol,2023-06-16 16:17:31.557,1060.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +726,DIG,divelab/DIG,graph,,https://github.com/divelab/DIG,https://github.com/divelab/DIG,GPL-3.0,2020-10-30 03:51:15.000,2024-07-15 07:18:56.000000,2024-02-04 20:37:53,1083.0,,281.0,31.0,41.0,35.0,176.0,1912.0,A library for graph deep learning research.,50.0,20,False,2023-04-07 20:33:15.000,1.1.0,10.0,dig,,,,,,,https://pypi.org/project/dig,2015-08-23 10:30:20.000,,429.0,429.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +727,benchmark_VAE,clementchadebec/benchmark_VAE,others,,https://github.com/clementchadebec/benchmark_VAE,https://github.com/clementchadebec/benchmark_VAE,Apache-2.0,2021-10-02 16:26:24.000,2024-07-31 12:13:28.000000,2024-07-17 07:59:47,373.0,,166.0,18.0,74.0,24.0,45.0,1858.0,Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022).,18.0,20,True,2023-09-06 15:46:59.000,0.1.2,12.0,pythae,,,,['pytorch'],37.0,37.0,https://pypi.org/project/pythae,2023-09-06 15:46:59.000,,1037.0,1037.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +728,greykite,linkedin/greykite,time-series-data,,https://github.com/linkedin/greykite,https://github.com/linkedin/greykite,BSD-2-Clause,2021-04-27 17:05:53.000,2024-06-13 10:11:03.000000,2024-01-16 17:27:35,27.0,,106.0,39.0,31.0,30.0,79.0,1815.0,"A flexible, intuitive and fast forecasting library.",10.0,20,True,2024-01-18 18:33:20.000,1.0.0,11.0,greykite,,,,,36.0,36.0,https://pypi.org/project/greykite,2024-01-12 20:13:07.000,,7977.0,7977.0,,,,,,,,3.0,36.0,,,,,,,,,,,,,,,,,,, +729,Magnitude,plasticityai/magnitude,nn-search,,https://github.com/plasticityai/magnitude,https://github.com/plasticityai/magnitude,MIT,2018-02-24 07:28:16.000,2023-08-03 00:59:57.000000,2020-07-17 20:19:46,350.0,,118.0,38.0,11.0,39.0,51.0,1636.0,"A fast, efficient universal vector embedding utility package.",4.0,20,False,2020-05-25 11:26:36.000,0.1.143,128.0,pymagnitude,,,,,9.0,,https://pypi.org/project/pymagnitude,2020-05-25 11:26:36.000,9.0,1303.0,1303.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +730,DELTA,Delta-ML/delta,nlp,,https://github.com/Delta-ML/delta,https://github.com/Delta-ML/delta,Apache-2.0,2019-05-29 08:33:57.000,2024-04-19 09:46:18.000000,2020-12-17 06:57:15,932.0,,292.0,67.0,202.0,5.0,74.0,1592.0,DELTA is a deep learning based natural language and speech processing platform. LF AI & DATA Projects:..,41.0,20,False,2020-07-16 09:31:45.000,0.3.3,4.0,delta-nlp,,zh794390558/delta,,['tensorflow'],2.0,2.0,https://pypi.org/project/delta-nlp,2020-03-27 04:46:19.000,,95.0,288.0,,,,https://hub.docker.com/r/zh794390558/delta,2021-08-03 14:50:00.516864,,13160.0,3.0,,,,,,,,,,,,,,,,,,,, +731,DLTK,DLTK/DLTK,medical-data,,https://github.com/DLTK/DLTK,https://github.com/DLTK/DLTK,Apache-2.0,2017-05-02 15:40:36.000,2023-03-24 22:27:46.000000,2019-01-21 14:01:28,379.0,,405.0,101.0,36.0,13.0,24.0,1429.0,Deep Learning Toolkit for Medical Image Analysis.,9.0,20,False,2018-02-26 17:43:57.000,0.2.1,5.0,dltk,,,,['tensorflow'],33.0,33.0,https://pypi.org/project/dltk,2018-02-26 17:43:57.000,,116.0,116.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +732,doc2text,jlsutherland/doc2text,ocr,,https://github.com/jlsutherland/doc2text,https://github.com/jlsutherland/doc2text,MIT,2016-08-28 19:30:02.000,2020-12-01 22:56:27.000000,2020-12-01 22:56:26,62.0,,98.0,39.0,13.0,15.0,9.0,1273.0,Detect text blocks and OCR poorly scanned PDFs in bulk. Python module available via pip.,5.0,20,False,2016-09-06 21:59:21.000,0.2.4,5.0,doc2text,,,,,176.0,174.0,https://pypi.org/project/doc2text,2016-09-06 21:59:21.000,2.0,2267.0,2267.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +733,AlphaPy,ScottfreeLLC/AlphaPy,hyperopt,,https://github.com/ScottfreeLLC/AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,Apache-2.0,2016-02-14 00:47:32.000,2024-12-15 17:30:26.000000,2024-12-15 17:30:23,439.0,1.0,206.0,63.0,7.0,13.0,29.0,1187.0,Python AutoML for Trading Systems and Sports Betting.,5.0,20,True,2020-08-29 18:48:20.000,2.5.0,25.0,alphapy,,,,,7.0,7.0,https://pypi.org/project/alphapy,2020-08-29 18:44:15.000,,924.0,924.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +734,Performer Pytorch,lucidrains/performer-pytorch,pytorch-utils,,https://github.com/lucidrains/performer-pytorch,https://github.com/lucidrains/performer-pytorch,MIT,2020-10-03 03:41:36.000,2022-02-02 20:34:04.000000,2022-02-02 20:33:18,124.0,,142.0,17.0,11.0,43.0,43.0,1109.0,"An implementation of Performer, a linear attention-based transformer, in Pytorch.",6.0,20,False,2022-02-02 20:34:04.000,1.1.4,80.0,performer-pytorch,,,,['pytorch'],179.0,174.0,https://pypi.org/project/performer-pytorch,2022-02-02 20:34:04.000,5.0,5423.0,5423.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +735,geoplotlib,andrea-cuttone/geoplotlib,geospatial-data,,https://github.com/andrea-cuttone/geoplotlib,https://github.com/andrea-cuttone/geoplotlib,MIT,2015-02-24 13:13:07.000,2023-06-16 19:26:09.140000,2019-05-06 07:06:50,159.0,,169.0,57.0,14.0,30.0,19.0,1031.0,python toolbox for visualizing geographical data and making maps.,8.0,20,False,2016-07-27 14:55:01.000,0.3.2,4.0,geoplotlib,conda-forge/geoplotlib,,,,189.0,187.0,https://pypi.org/project/geoplotlib,2016-07-27 14:55:01.000,2.0,565.0,786.0,https://anaconda.org/conda-forge/geoplotlib,2023-06-16 19:26:09.140,9767.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +736,nude.py,hhatto/nude.py,image,,https://github.com/hhatto/nude.py,https://github.com/hhatto/nude.py,MIT,2013-06-09 06:55:55.000,2020-11-23 13:49:32.000000,2020-11-23 13:49:02,79.0,,131.0,36.0,16.0,9.0,4.0,925.0,Nudity detection with Python.,12.0,20,False,2020-11-23 13:49:17.000,0.5.1,10.0,nudepy,,,,,3648.0,3643.0,https://pypi.org/project/nudepy,2020-11-23 13:49:17.000,5.0,526.0,526.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +737,PDPbox,SauceCat/PDPbox,data-viz,,https://github.com/SauceCat/PDPbox,https://github.com/SauceCat/PDPbox,MIT,2017-06-26 08:01:54.000,2024-09-03 22:24:30.000000,2023-06-05 01:35:02,228.0,,129.0,18.0,25.0,29.0,40.0,848.0,python partial dependence plot toolbox.,7.0,20,False,2023-06-05 02:53:01.145,0.3.0,4.0,pdpbox,conda-forge/pdpbox,,,,26.0,,https://pypi.org/project/pdpbox,2021-03-14 16:21:17.000,26.0,11203.0,11542.0,https://anaconda.org/conda-forge/pdpbox,2023-06-10 14:57:37.569,22415.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +738,Merlin,NVIDIA-Merlin/Merlin,gpu-utilities,,https://github.com/NVIDIA-Merlin/Merlin,https://github.com/NVIDIA-Merlin/Merlin,Apache-2.0,2021-03-30 23:35:26.000,2024-12-05 20:47:53.000000,2024-07-22 10:16:42,493.0,,119.0,33.0,561.0,211.0,247.0,792.0,"NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature..",32.0,20,True,2024-06-14 12:19:07.000,24.06.00,16.0,merlin-core,,,,,1.0,,https://pypi.org/project/merlin-core,2023-08-29 16:27:32.000,1.0,8077.0,8077.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +739,sklearn-deap,rsteca/sklearn-deap,hyperopt,,https://github.com/rsteca/sklearn-deap,https://github.com/rsteca/sklearn-deap,MIT,2015-10-28 22:52:34.000,2024-02-10 07:16:54.000000,2021-07-30 15:06:27,104.0,,125.0,30.0,29.0,21.0,34.0,771.0,Use evolutionary algorithms instead of gridsearch in scikit-learn.,23.0,20,False,2021-07-30 15:13:54.000,0.3.0,14.0,sklearn-deap,,,,['sklearn'],48.0,48.0,https://pypi.org/project/sklearn-deap,2021-07-30 15:13:54.000,,826.0,826.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +740,NearPy,pixelogik/NearPy,nn-search,,https://github.com/pixelogik/NearPy,https://github.com/pixelogik/NearPy,MIT,2013-04-25 09:10:26.000,2023-02-23 15:20:18.000000,2023-01-22 20:07:16,161.0,,146.0,36.0,33.0,26.0,39.0,767.0,"Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different..",20.0,20,False,2016-09-27 13:04:44.000,1.0.0,8.0,NearPy,,,,,117.0,117.0,https://pypi.org/project/NearPy,2016-09-27 13:03:12.000,,773.0,773.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +741,dabl,amueller/dabl,sklearn-utils,,https://github.com/amueller/dabl,https://github.com/amueller/dabl,BSD-3-Clause,2020-01-30 18:26:49.000,2024-12-16 23:31:08.000000,2024-08-07 21:38:41,314.0,,104.0,5.0,3.0,1.0,,727.0,Data Analysis Baseline Library.,24.0,20,True,2024-12-16 23:31:08.000,0.3.2,20.0,dabl,,,,['sklearn'],3.0,,https://pypi.org/project/dabl,2024-12-16 23:31:08.000,3.0,5739.0,5739.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +742,tcav,tensorflow/tcav,interpretability,,https://github.com/tensorflow/tcav,https://github.com/tensorflow/tcav,Apache-2.0,2018-07-03 17:45:35.000,2024-07-30 21:34:45.000000,2021-09-16 17:56:31,171.0,,150.0,34.0,84.0,16.0,55.0,634.0,Code for the TCAV ML interpretability project.,19.0,20,False,2021-02-23 16:17:42.000,0.2.2,4.0,tcav,,,,['tensorflow'],31.0,28.0,https://pypi.org/project/tcav,2021-02-23 16:17:42.000,3.0,232.0,232.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +743,detecto,alankbi/detecto,image,,https://github.com/alankbi/detecto,https://github.com/alankbi/detecto,MIT,2019-12-11 21:50:28.000,2024-07-25 11:20:23.000000,2022-02-09 16:35:40,142.0,,101.0,23.0,26.0,46.0,61.0,616.0,Build fully-functioning computer vision models with PyTorch.,12.0,20,False,2022-02-02 00:22:07.000,1.2.2,13.0,detecto,conda-forge/detecto,,,['pytorch'],188.0,186.0,https://pypi.org/project/detecto,2022-02-02 00:12:06.000,2.0,2228.0,2354.0,https://anaconda.org/conda-forge/detecto,2023-06-16 19:26:16.964,5440.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +744,N2,kakao/n2,nn-search,,https://github.com/kakao/n2,https://github.com/kakao/n2,Apache-2.0,2017-11-23 02:27:59.000,2023-06-27 16:54:16.000000,2023-06-27 16:54:13,266.0,,75.0,39.0,17.0,14.0,22.0,568.0,TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets.,22.0,20,False,2020-10-16 03:43:47.000,0.1.7,9.0,n2,,,,,40.0,36.0,https://pypi.org/project/n2,2020-10-16 03:10:01.000,4.0,288.0,288.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +745,deepsnap,snap-stanford/deepsnap,graph,,https://github.com/snap-stanford/deepsnap,https://github.com/snap-stanford/deepsnap,MIT,2020-06-06 21:17:38.000,2023-11-11 03:23:44.000000,2023-11-11 03:23:44,413.0,,57.0,60.0,9.0,25.0,25.0,555.0,Python library assists deep learning on graphs.,18.0,20,False,2021-09-05 23:08:21.000,0.2.1,5.0,deepsnap,,,,,122.0,120.0,https://pypi.org/project/deepsnap,2021-09-05 22:57:16.000,2.0,511.0,511.0,,,,,,,,3.0,15.0,,,,,,,,,,,,,,,,,,, +746,Auto ViML,AutoViML/Auto_ViML,hyperopt,,https://github.com/AutoViML/Auto_ViML,https://github.com/AutoViML/Auto_ViML,Apache-2.0,2019-06-10 13:09:15.000,2024-07-09 19:44:12.000000,2024-05-11 10:43:02,331.0,,101.0,26.0,8.0,1.0,33.0,529.0,Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome...,9.0,20,True,2024-05-11 10:46:51.000,0.1.800,146.0,autoviml,,,,,31.0,28.0,https://pypi.org/project/autoviml,2024-05-11 10:46:51.000,3.0,6125.0,6125.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +747,rrcf,kLabUM/rrcf,others,,https://github.com/kLabUM/rrcf,https://github.com/kLabUM/rrcf,MIT,2018-10-20 05:39:05.000,2024-02-24 12:21:01.000000,2023-08-12 16:28:59,266.0,,112.0,19.0,57.0,30.0,21.0,504.0,Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams.,7.0,20,False,2023-04-30 02:25:49.592,0.4.4,8.0,rrcf,,,,,90.0,82.0,https://pypi.org/project/rrcf,2023-04-30 02:25:49.592,8.0,2939.0,2939.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +748,apricot,jmschrei/apricot,others,,https://github.com/jmschrei/apricot,https://github.com/jmschrei/apricot,MIT,2018-08-12 02:42:12.000,2024-08-20 18:39:53.000000,2021-11-18 21:06:54,172.0,,48.0,9.0,10.0,13.0,21.0,499.0,apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine..,4.0,20,False,2023-11-17 16:33:58.000,0.6.1,14.0,apricot-select,,,,,171.0,163.0,https://pypi.org/project/apricot-select,2021-02-18 06:55:02.000,8.0,4933.0,4933.0,,,,,,,,3.0,32.0,,,,,,,,,,,,,,,,,,, +749,Popmon,ing-bank/popmon,data-viz,,https://github.com/ing-bank/popmon,https://github.com/ing-bank/popmon,MIT,2020-04-23 11:21:14.000,2024-09-23 04:22:16.000000,2023-07-18 10:24:07,542.0,,36.0,14.0,226.0,15.0,40.0,498.0,Monitor the stability of a Pandas or Spark dataframe.,17.0,20,False,2023-07-18 10:32:00.587,1.4.6,36.0,popmon,,,,"['pandas', 'spark']",24.0,22.0,https://pypi.org/project/popmon,2023-07-18 10:32:00.587,2.0,12417.0,12421.0,,,,,,,,3.0,249.0,,,,,,,,,,,,,,,,,,, +750,pydlm,wwrechard/pydlm,time-series-data,,https://github.com/wwrechard/pydlm,https://github.com/wwrechard/pydlm,BSD-3-Clause,2016-06-29 07:58:53.000,2024-09-07 07:05:09.000000,2024-09-07 07:05:06,387.0,,98.0,28.0,34.0,41.0,15.0,482.0,A python library for Bayesian time series modeling.,7.0,20,True,2024-08-13 04:20:08.000,0.1.1.13,15.0,pydlm,,,,,39.0,37.0,https://pypi.org/project/pydlm,2024-08-13 04:20:45.000,2.0,24618.0,24618.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +751,elegy,poets-ai/elegy,ml-frameworks,,https://github.com/poets-ai/elegy,https://github.com/poets-ai/elegy,MIT,2020-06-30 14:00:37.000,2022-12-15 19:23:10.000000,2022-05-23 17:26:29,339.0,,32.0,16.0,148.0,40.0,66.0,471.0,A High Level API for Deep Learning in JAX.,18.0,20,False,2022-03-23 21:51:07.000,0.8.6,33.0,elegy,,,,"['tensorflow', 'jax']",56.0,56.0,https://pypi.org/project/elegy,2022-04-22 15:42:03.000,,1301.0,1301.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +752,pykale,pykale/pykale,others,,https://github.com/pykale/pykale,https://github.com/pykale/pykale,MIT,2020-06-30 08:06:10.000,2024-12-30 06:30:24.000000,2024-09-24 15:52:47,3054.0,,64.0,12.0,272.0,11.0,112.0,447.0,Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary..,25.0,20,True,2023-07-13 11:41:03.541,0.1.2,12.0,pykale,,,,['pytorch'],5.0,5.0,https://pypi.org/project/pykale,2022-04-12 08:56:50.000,,186.0,186.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +753,optunity,claesenm/optunity,hyperopt,,https://github.com/claesenm/optunity,https://github.com/claesenm/optunity,BSD-3-Clause,2014-05-28 17:29:11.000,2023-11-25 01:31:29.000000,2020-05-11 14:32:38,782.0,,78.0,24.0,12.0,48.0,49.0,417.0,optimization routines for hyperparameter tuning.,9.0,20,False,2015-09-30 05:02:00.000,1.1.1,6.0,optunity,,,,,143.0,140.0,https://pypi.org/project/optunity,2015-09-30 05:02:00.000,3.0,788.0,788.0,,,,,,,,3.0,106.0,,,,,,,,,,,,,,,,,,, +754,scikit-rebate,EpistasisLab/scikit-rebate,others,,https://github.com/EpistasisLab/scikit-rebate,https://github.com/EpistasisLab/scikit-rebate,MIT,2016-09-19 13:36:17.000,2024-12-27 14:46:11.696000,2021-02-15 17:10:59,283.0,,73.0,25.0,48.0,18.0,19.0,415.0,"A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for..",14.0,20,False,2017-04-12 16:12:01.000,0.3.4,13.0,skrebate,conda-forge/skrebate,,,['sklearn'],28.0,,https://pypi.org/project/skrebate,2021-03-20 17:11:52.000,28.0,3057.0,3723.0,https://anaconda.org/conda-forge/skrebate,2024-12-27 14:46:11.696,35982.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +755,tsflex,predict-idlab/tsflex,time-series-data,,https://github.com/predict-idlab/tsflex,https://github.com/predict-idlab/tsflex,MIT,2021-07-06 15:16:45.577,2024-09-06 09:28:23.000000,2024-09-06 09:27:10,824.0,,26.0,9.0,78.0,33.0,23.0,407.0,Flexible time series feature extraction & processing.,6.0,20,True,2024-09-06 09:28:53.000,0.4.1,38.0,tsflex,conda-forge/tsflex,,,,19.0,17.0,https://pypi.org/project/tsflex,2024-09-06 09:26:32.000,2.0,1029.0,1714.0,https://anaconda.org/conda-forge/tsflex,2024-04-08 09:54:58.786,28777.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +756,Brainiak,brainiak/brainiak,medical-data,,https://github.com/brainiak/brainiak,https://github.com/brainiak/brainiak,Apache-2.0,2016-02-08 23:19:27.000,2025-01-07 00:51:13.258034,2025-01-06 19:07:43,406.0,7.0,137.0,34.0,333.0,89.0,138.0,345.0,Brain Imaging Analysis Kit.,35.0,20,True,2025-01-06 23:14:48.000,0.12,21.0,brainiak,,brainiak/brainiak,,,,,https://pypi.org/project/brainiak,2025-01-07 00:16:42.000,,2889.0,2906.0,,,,https://hub.docker.com/r/brainiak/brainiak,2025-01-07 00:51:13.258034,1.0,1903.0,3.0,,,,,,,,,,,,,,,,,,,, +757,MXBoard,awslabs/mxboard,ml-experiments,,https://github.com/awslabs/mxboard,https://github.com/awslabs/mxboard,Apache-2.0,2018-02-06 23:03:51.000,2021-11-30 10:46:24.000000,2020-01-24 23:21:55,42.0,,47.0,25.0,19.0,15.0,17.0,325.0,Logging MXNet data for visualization in TensorBoard.,9.0,20,False,2018-05-22 20:25:51.000,0.1.0,12.0,mxboard,,,,['mxnet'],268.0,268.0,https://pypi.org/project/mxboard,2018-05-22 20:25:51.000,,2751.0,2751.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +758,textpipe,textpipe/textpipe,nlp,,https://github.com/textpipe/textpipe,https://github.com/textpipe/textpipe,MIT,2018-06-21 16:23:32.000,2021-06-09 11:55:53.000000,2021-06-09 11:55:53,371.0,,26.0,22.0,239.0,24.0,25.0,301.0,Textpipe: clean and extract metadata from text.,29.0,20,False,2021-01-25 14:05:21.000,0.12.2,39.0,textpipe,,,,,11.0,10.0,https://pypi.org/project/textpipe,2021-01-25 14:05:21.000,1.0,605.0,605.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +759,OMLT,cog-imperial/omlt,model-serialisation,,https://github.com/cog-imperial/OMLT,https://github.com/cog-imperial/OMLT,,2021-06-03 12:39:38.000,2024-12-14 22:06:19.000000,2024-12-14 21:35:00,526.0,2.0,59.0,14.0,91.0,27.0,40.0,295.0,Represent trained machine learning models as Pyomo optimization formulations.,21.0,20,False,2024-12-14 22:06:19.000,1.2.1,9.0,omlt,,,,,26.0,22.0,https://pypi.org/project/omlt,2024-12-14 22:06:19.000,4.0,16801.0,16801.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +760,somoclu,peterwittek/somoclu,distributed-ml,,https://github.com/peterwittek/somoclu,https://github.com/peterwittek/somoclu,MIT,2013-01-16 06:33:16.000,2024-09-13 04:58:28.982000,2024-01-18 11:58:51,626.0,,69.0,28.0,32.0,34.0,113.0,270.0,"Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters.",20.0,20,False,2023-02-18 02:51:08.166,1.7.6,18.0,somoclu,conda-forge/somoclu,,,,18.0,,https://pypi.org/project/somoclu,2023-02-18 02:51:08.166,18.0,1865.0,4616.0,https://anaconda.org/conda-forge/somoclu,2024-09-13 04:58:28.982,139443.0,,,,,3.0,2087.0,,,,,,,,,,,,,,,,,,, +761,Funsor,pyro-ppl/funsor,probabilistics,,https://github.com/pyro-ppl/funsor,https://github.com/pyro-ppl/funsor,Apache-2.0,2019-01-30 23:13:39.000,2023-08-31 18:37:21.000000,2023-08-31 18:34:42,577.0,,21.0,18.0,464.0,90.0,76.0,237.0,Functional tensors for probabilistic programming.,11.0,20,False,2023-08-31 18:37:22.000,0.4.6,12.0,funsor,,,,['pytorch'],87.0,77.0,https://pypi.org/project/funsor,2023-01-23 08:32:39.757,10.0,5161.0,5161.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +762,numerizer,jaidevd/numerizer,nlp,,https://github.com/jaidevd/numerizer,https://github.com/jaidevd/numerizer,MIT,2019-12-02 07:00:34.000,2024-09-26 08:36:59.000000,2024-09-26 08:31:01,28.0,,24.0,8.0,15.0,4.0,11.0,226.0,A Python module to convert natural language numerics into ints and floats.,4.0,20,False,2024-09-26 08:36:59.000,0.2.4,12.0,numerizer,,,,,98.0,95.0,https://pypi.org/project/numerizer,2024-09-26 08:36:59.000,3.0,18250.0,18250.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +763,celer,mathurinm/celer,sklearn-utils,,https://github.com/mathurinm/celer,https://github.com/mathurinm/celer,BSD-3-Clause,2018-02-20 19:37:31.000,2024-08-01 08:27:07.000000,2024-08-01 08:10:33,265.0,,33.0,11.0,202.0,21.0,76.0,211.0,"Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.",13.0,20,False,2023-07-26 15:36:39.000,0.7.3,15.0,celer,,,,['sklearn'],45.0,44.0,https://pypi.org/project/celer,2023-07-26 15:36:39.000,1.0,1558.0,1558.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +764,SerpentAI,SerpentAI/SerpentAI,reinforcement-learning,,https://github.com/SerpentAI/SerpentAI,https://github.com/SerpentAI/SerpentAI,MIT,2017-04-16 21:48:39.000,2022-11-07 01:59:31.000000,2020-05-22 22:34:09,250.0,,785.0,335.0,58.0,2.0,,6808.0,Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!.,7.0,19,False,2018-02-17 00:12:46.000,2018.1.2,18.0,SerpentAI,,,,,,,https://pypi.org/project/SerpentAI,2018-02-17 00:12:46.000,,198.0,205.0,,,,,,,,3.0,395.0,,,,,,,,,,,,,,,,,,, +765,pytorchviz,szagoruyko/pytorchviz,pytorch-utils,,https://github.com/szagoruyko/pytorchviz,https://github.com/szagoruyko/pytorchviz,MIT,2018-01-30 15:37:55.000,2024-12-30 21:14:55.000000,2024-12-30 20:51:08,23.0,1.0,279.0,31.0,24.0,34.0,38.0,3264.0,A small package to create visualizations of PyTorch execution graphs.,6.0,19,True,,,,,,,,,2457.0,2457.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +766,GraphGym,snap-stanford/GraphGym,graph,,https://github.com/snap-stanford/GraphGym,https://github.com/snap-stanford/GraphGym,MIT,2020-10-14 05:01:35.000,2023-11-10 05:37:18.000000,2023-03-14 23:02:49,75.0,,180.0,24.0,20.0,19.0,30.0,1745.0,Platform for designing and evaluating Graph Neural Networks (GNN).,6.0,19,False,2022-03-24 23:28:17.000,0.4.0,3.0,graphgym,,,,,9.0,9.0,https://pypi.org/project/graphgym,2022-03-24 23:19:13.000,,202.0,203.0,,,,,,,,3.0,51.0,,,,,,,,,,,,,,,,,,, +767,Lambda Networks,lucidrains/lambda-networks,pytorch-utils,,https://github.com/lucidrains/lambda-networks,https://github.com/lucidrains/lambda-networks,MIT,2020-10-08 19:01:15.000,2020-11-18 19:54:34.000000,2020-11-18 19:54:30,31.0,,156.0,45.0,3.0,13.0,15.0,1534.0,"Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute.",3.0,19,False,2020-11-18 08:19:23.000,0.4.0,11.0,lambda-networks,,,,['pytorch'],32.0,32.0,https://pypi.org/project/lambda-networks,2020-11-18 08:19:23.000,,959.0,959.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +768,AdvBox,advboxes/AdvBox,adversarial,,https://github.com/advboxes/AdvBox,https://github.com/advboxes/AdvBox,Apache-2.0,2018-08-08 08:55:41.000,2023-02-15 19:57:27.000000,2022-08-08 02:56:23,378.0,,257.0,56.0,65.0,8.0,31.0,1388.0,Advbox is a toolbox to generate adversarial examples that fool neural networks in..,19.0,19,False,2018-12-05 02:48:50.000,0.4.1,2.0,advbox,,,,,5.0,5.0,https://pypi.org/project/advbox,2018-12-05 02:48:50.000,,136.0,136.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +769,XAI,EthicalML/xai,interpretability,,https://github.com/EthicalML/xai,https://github.com/EthicalML/xai,MIT,2019-01-11 20:00:09.000,2021-10-30 06:35:19.000000,2021-10-30 06:30:12,91.0,,174.0,44.0,5.0,4.0,7.0,1146.0,XAI - An eXplainability toolbox for machine learning.,3.0,19,False,2021-10-30 06:35:19.000,0.1.0,6.0,xai,,,,,35.0,35.0,https://pypi.org/project/xai,2021-10-30 06:33:26.000,,390.0,390.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +770,UForm,unum-cloud/uform,nlp,,https://github.com/unum-cloud/uform,https://github.com/unum-cloud/uform,Apache-2.0,2023-02-21 10:04:40.000,2025-01-03 23:13:37.000000,2025-01-03 23:11:28,298.0,5.0,63.0,15.0,65.0,10.0,22.0,1072.0,"Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and video, up..",19.0,19,True,2025-01-03 23:13:37.000,3.1.1,37.0,uform,,,,['pytorch'],8.0,6.0,https://pypi.org/project/uform,2025-01-03 23:13:37.000,2.0,1036.0,1058.0,,,,,,,,3.0,516.0,,,,,,,,,,,,,,,,,,, +771,robustness,MadryLab/robustness,adversarial,,https://github.com/MadryLab/robustness,https://github.com/MadryLab/robustness,MIT,2019-08-21 09:26:33.000,2024-01-11 13:06:10.000000,2022-02-14 20:43:06,145.0,,181.0,19.0,42.0,28.0,60.0,924.0,"A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.",13.0,19,False,2020-12-01 06:11:12.000,1.2.1.post2,10.0,robustness,conda-forge/robustness,,,,199.0,196.0,https://pypi.org/project/robustness,2020-12-01 06:21:33.000,3.0,504.0,702.0,https://anaconda.org/conda-forge/robustness,2023-06-16 19:21:11.893,10545.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +772,Dragonfly,dragonfly/dragonfly,hyperopt,,https://github.com/dragonfly/dragonfly,https://github.com/dragonfly/dragonfly,MIT,2018-04-20 22:19:50.000,2023-06-19 20:23:17.000000,2022-10-01 22:21:50,400.0,,233.0,30.0,38.0,43.0,21.0,867.0,An open source python library for scalable Bayesian optimisation.,13.0,19,False,2022-10-01 22:28:00.848,0.1.7,10.0,dragonfly-opt,,,,,,,https://pypi.org/project/dragonfly-opt,2022-10-01 22:28:00.848,,2770.0,2770.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +773,evojax,google/evojax,jax-utils,,https://github.com/google/evojax,https://github.com/google/evojax,Apache-2.0,2021-12-07 00:30:07.000,2024-06-27 07:32:19.000000,2024-06-27 07:26:43,298.0,,92.0,23.0,51.0,20.0,17.0,860.0,EvoJAX: Hardware-accelerated Neuroevolution.,14.0,19,True,2024-06-18 06:17:13.000,0.2.17,23.0,evojax,conda-forge/evojax,,,['jax'],33.0,27.0,https://pypi.org/project/evojax,2024-06-18 06:17:13.000,6.0,1441.0,2393.0,https://anaconda.org/conda-forge/evojax,2024-06-18 11:07:15.191,33329.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +774,pytorch2keras,gmalivenko/pytorch2keras,model-serialisation,,https://github.com/gmalivenko/pytorch2keras,https://github.com/gmalivenko/pytorch2keras,MIT,2017-11-16 20:21:43.000,2022-12-08 11:42:52.000000,2021-08-06 08:18:46,282.0,,143.0,14.0,24.0,64.0,69.0,859.0,PyTorch to Keras model convertor.,13.0,19,False,2020-05-14 10:03:56.000,0.2.4,23.0,pytorch2keras,,,,,104.0,103.0,https://pypi.org/project/pytorch2keras,2020-05-14 10:03:56.000,1.0,339.0,339.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +775,NeoML,neoml-lib/neoml,ml-frameworks,,https://github.com/neoml-lib/neoml,https://github.com/neoml-lib/neoml,Apache-2.0,2020-06-14 17:37:36.000,2024-10-23 17:51:18.000000,2024-09-30 12:29:20,1251.0,,126.0,30.0,1059.0,37.0,54.0,771.0,Machine learning framework for both deep learning and traditional algorithms.,40.0,19,True,2023-12-26 02:42:15.000,2.0.210,15.0,neoml,,,,,2.0,2.0,https://pypi.org/project/neoml,2023-12-26 02:42:15.000,,933.0,933.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +776,Auto TS,AutoViML/Auto_TS,time-series-data,,https://github.com/AutoViML/Auto_TS,https://github.com/AutoViML/Auto_TS,Apache-2.0,2020-02-15 15:23:32.000,2024-08-20 13:45:17.000000,2024-05-05 11:51:05,300.0,,115.0,21.0,27.0,3.0,87.0,745.0,"Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of..",13.0,19,True,2024-05-05 11:51:57.000,0.0.92,39.0,auto-ts,,,,,,,https://pypi.org/project/auto-ts,2024-05-05 11:51:57.000,,11866.0,11866.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +777,matrixprofile-ts,target/matrixprofile-ts,time-series-data,,https://github.com/target/matrixprofile-ts,https://github.com/target/matrixprofile-ts,Apache-2.0,2018-09-10 19:03:34.000,2024-07-16 19:49:29.000000,2020-04-25 18:37:42,198.0,,102.0,26.0,49.0,15.0,54.0,734.0,A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile.,15.0,19,False,2019-08-08 01:24:38.000,0.0.9,9.0,matrixprofile-ts,,,,,32.0,30.0,https://pypi.org/project/matrixprofile-ts,2019-08-08 01:24:38.000,2.0,362.0,362.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +778,opytimizer,gugarosa/opytimizer,hyperopt,,https://github.com/gugarosa/opytimizer,https://github.com/gugarosa/opytimizer,Apache-2.0,2017-11-01 16:04:01.000,2024-10-22 13:32:17.000000,2024-08-18 17:07:49,821.0,,42.0,15.0,18.0,,22.0,611.0,Opytimizer is a Python library consisting of meta-heuristic optimization algorithms.,4.0,19,True,2024-08-18 17:19:42.000,3.1.4,28.0,opytimizer,,,,,19.0,19.0,https://pypi.org/project/opytimizer,2024-08-18 17:19:42.000,,498.0,498.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +779,baikal,alegonz/baikal,others,,https://github.com/alegonz/baikal,https://github.com/alegonz/baikal,BSD-3-Clause,2019-01-21 12:59:02.000,2025-01-05 16:04:33.921000,2021-04-11 07:50:00,405.0,,29.0,18.0,42.0,6.0,18.0,592.0,A graph-based functional API for building complex scikit-learn pipelines.,2.0,19,False,2020-11-15 13:40:18.000,0.4.2,17.0,baikal,conda-forge/cython-blis,,,,16.0,15.0,https://pypi.org/project/baikal,2020-11-15 13:40:18.000,1.0,403.0,46055.0,https://anaconda.org/conda-forge/cython-blis,2025-01-05 16:04:33.921,2373920.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +780,recmetrics,statisticianinstilettos/recmetrics,recommender-systems,,https://github.com/statisticianinstilettos/recmetrics,https://github.com/statisticianinstilettos/recmetrics,MIT,2018-10-15 15:29:49.000,2024-01-11 20:34:53.000000,2023-10-04 12:31:54,297.0,,98.0,15.0,53.0,13.0,16.0,574.0,A library of metrics for evaluating recommender systems.,20.0,19,False,2022-04-26 18:03:18.000,0.1.5,20.0,recmetrics,,,,,61.0,61.0,https://pypi.org/project/recmetrics,2022-04-26 17:57:01.000,,3990.0,3990.0,,,,,,,,3.0,8.0,,,,,,,,,,,,,,,,,,, +781,Auto Tune Models,HDI-Project/ATM,hyperopt,,https://github.com/HDI-Project/ATM,https://github.com/HDI-Project/ATM,MIT,2016-10-14 18:03:00.000,2020-02-21 17:44:07.000000,2020-02-21 17:40:58,775.0,,138.0,55.0,72.0,18.0,71.0,529.0,"Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).",17.0,19,False,2019-07-30 09:28:26.000,0.2.2,14.0,atm,,,,,25.0,25.0,https://pypi.org/project/atm,2019-07-30 09:25:11.000,,363.0,363.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +782,pymdp,infer-actively/pymdp,others,,https://github.com/infer-actively/pymdp,https://github.com/infer-actively/pymdp,MIT,2019-11-27 19:03:35.000,2024-12-18 08:30:19.000000,2024-11-26 14:53:35,988.0,1.0,96.0,32.0,100.0,18.0,27.0,488.0,A Python implementation of active inference for Markov Decision Processes.,18.0,19,True,2023-03-25 17:58:52.000,0.0.7.1,8.0,inferactively-pymdp,,,,,14.0,14.0,https://pypi.org/project/inferactively-pymdp,2022-12-08 15:25:01.498,,3467.0,3467.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +783,animatplot,t-makaro/animatplot,data-viz,,https://github.com/t-makaro/animatplot,https://github.com/t-makaro/animatplot,MIT,2017-04-03 00:54:04.000,2024-09-01 04:12:59.669000,2024-08-29 18:18:33,183.0,,38.0,9.0,32.0,17.0,20.0,412.0,A python package for animating plots build on matplotlib.,6.0,19,True,2024-08-29 18:26:55.000,0.4.3,11.0,animatplot,conda-forge/animatplot,,,,67.0,63.0,https://pypi.org/project/animatplot,2024-08-29 17:08:23.000,4.0,449.0,753.0,https://anaconda.org/conda-forge/animatplot,2024-09-01 04:12:59.669,15526.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +784,fairness-indicators,tensorflow/fairness-indicators,interpretability,,https://github.com/tensorflow/fairness-indicators,https://github.com/tensorflow/fairness-indicators,Apache-2.0,2019-09-30 22:56:45.000,2025-01-09 09:32:45.000000,2025-01-09 00:30:05,333.0,6.0,79.0,25.0,357.0,26.0,10.0,345.0,Tensorflows Fairness Evaluation and Visualization Toolkit.,36.0,19,True,2024-04-26 21:27:16.000,0.46.0,31.0,fairness-indicators,,,,"['tensorflow', 'jupyter']",,,https://pypi.org/project/fairness-indicators,2024-04-26 21:27:16.000,,1841.0,1841.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +785,Camphr,PKSHATechnology-Research/camphr,nlp,,https://github.com/PKSHATechnology-Research/camphr,https://github.com/PKSHATechnology-Research/camphr,Apache-2.0,2020-02-10 03:39:58.000,2023-03-07 22:10:10.175000,2021-08-18 06:06:51,1404.0,,17.0,6.0,217.0,4.0,26.0,341.0,Camphr - NLP libary for creating pipeline components.,8.0,19,False,2023-03-07 22:10:10.175,0.8.9,49.0,camphr,,,,['spacy'],17.0,15.0,https://pypi.org/project/camphr,2023-03-07 22:10:10.175,2.0,1657.0,1657.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +786,Sherpa,sherpa-ai/sherpa,hyperopt,,https://github.com/sherpa-ai/sherpa,https://github.com/sherpa-ai/sherpa,GPL-3.0,2018-05-16 21:41:54.000,2020-10-18 07:57:50.000000,2020-10-18 07:57:48,823.0,,54.0,11.0,60.0,17.0,41.0,334.0,"Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.",43.0,19,False,2020-07-31 05:29:09.000,1.0.7,8.0,parameter-sherpa,,,,,44.0,40.0,https://pypi.org/project/parameter-sherpa,2019-11-23 21:32:27.000,4.0,320.0,320.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +787,ivis,beringresearch/ivis,data-viz,,https://github.com/beringresearch/ivis,https://github.com/beringresearch/ivis,Apache-2.0,2018-08-13 08:31:01.000,2024-09-29 23:44:29.000000,2024-09-29 23:43:33,584.0,,43.0,13.0,64.0,3.0,57.0,332.0,Dimensionality reduction in very large datasets using Siamese Networks.,10.0,19,True,2024-06-13 05:28:35.000,2.0.11,36.0,ivis,,,,['tensorflow'],38.0,36.0,https://pypi.org/project/ivis,2024-06-13 05:28:35.000,2.0,1444.0,1444.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +788,launchpad,deepmind/launchpad,distributed-ml,,https://github.com/google-deepmind/launchpad,https://github.com/google-deepmind/launchpad,Apache-2.0,2021-02-18 15:16:49.000,2023-08-22 08:22:46.000000,2023-08-22 08:22:26,367.0,,37.0,18.0,6.0,19.0,21.0,317.0,Launchpad is a library that simplifies writing distributed programs and seamlessly launching them on a range of..,28.0,19,False,2022-04-28 06:23:38.000,0.5.2,9.0,dm-launchpad,,,,['tensorflow'],3.0,,https://pypi.org/project/dm-launchpad,2022-04-28 06:23:38.000,3.0,1428.0,1428.0,,,,,,,,3.0,,,google-deepmind/launchpad,,,,,,,,,,,,,,,,, +789,PipelineDP,OpenMined/PipelineDP,privacy-ml,,https://github.com/OpenMined/PipelineDP,https://github.com/OpenMined/PipelineDP,Apache-2.0,2021-02-10 18:04:22.000,2024-10-17 15:32:02.000000,2024-10-17 15:32:02,431.0,4.0,77.0,21.0,447.0,28.0,51.0,276.0,PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch..,32.0,19,False,2023-10-25 10:51:36.000,0.2.1,23.0,pipeline-dp,,,,,6.0,6.0,https://pypi.org/project/pipeline-dp,2023-11-22 19:01:05.000,,436.0,436.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +790,Larq Compute Engine,larq/compute-engine,model-serialisation,,https://github.com/larq/compute-engine,https://github.com/larq/compute-engine,Apache-2.0,2019-08-29 15:02:43.000,2024-10-28 07:18:15.000000,2024-10-28 07:18:14,592.0,1.0,35.0,24.0,645.0,21.0,130.0,245.0,Highly optimized inference engine for Binarized Neural Networks.,18.0,19,False,2024-06-21 06:39:45.000,0.16.0,21.0,larq-compute-engine,,,,,10.0,10.0,https://pypi.org/project/larq-compute-engine,2024-06-21 07:18:03.000,,1804.0,1825.0,,,,,,,,3.0,1257.0,,,,,,,,,,,,,,,,,,, +791,pyfasttext,vrasneur/pyfasttext,nlp,,https://github.com/vrasneur/pyfasttext,https://github.com/vrasneur/pyfasttext,GPL-3.0,2017-06-30 18:44:42.000,2018-12-08 15:32:09.000000,2018-12-08 15:02:12,153.0,,31.0,9.0,4.0,20.0,29.0,227.0,Yet another Python binding for fastText.,4.0,19,False,2018-12-08 15:32:09.000,0.4.6,13.0,pyfasttext,,,,,450.0,448.0,https://pypi.org/project/pyfasttext,2018-12-08 15:32:09.000,2.0,832.0,836.0,,,,,,,,3.0,436.0,,,,,,,,,,,,,,,,,,, +792,mesh-transformer-jax,kingoflolz/mesh-transformer-jax,distributed-ml,,https://github.com/kingoflolz/mesh-transformer-jax,https://github.com/kingoflolz/mesh-transformer-jax,Apache-2.0,2021-03-13 23:31:13.000,2023-01-21 00:09:29.000000,2023-01-12 19:54:10,143.0,,891.0,113.0,51.0,46.0,160.0,6314.0,Model parallel transformers in JAX and Haiku.,23.0,18,False,,,,,,,,['jax'],20.0,20.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +793,Spotlight,maciejkula/spotlight,recommender-systems,,https://github.com/maciejkula/spotlight,https://github.com/maciejkula/spotlight,MIT,2017-06-25 18:52:19.000,2023-06-16 13:22:46.522000,2020-02-09 21:03:48,299.0,,415.0,106.0,83.0,67.0,48.0,2995.0,Deep recommender models using PyTorch.,11.0,18,False,2019-09-08 10:19:53.000,0.1.6,7.0,,maciejkula/spotlight,,,['pytorch'],,,,,,,97.0,https://anaconda.org/maciejkula/spotlight,2023-06-16 13:22:46.522,8917.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +794,NeuroNER,Franck-Dernoncourt/NeuroNER,nlp,,https://github.com/Franck-Dernoncourt/NeuroNER,https://github.com/Franck-Dernoncourt/NeuroNER,MIT,2017-03-07 01:24:15.000,2023-03-24 22:29:09.000000,2019-10-02 23:26:11,132.0,,458.0,80.0,36.0,83.0,68.0,1703.0,Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,7.0,18,False,2019-10-02 23:30:15.000,1.0.8,7.0,pyneuroner,,,,,,,https://pypi.org/project/pyneuroner,2019-10-02 23:30:15.000,,202.0,202.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +795,keepsake,replicate/keepsake,ml-experiments,,https://github.com/replicate/keepsake,https://github.com/replicate/keepsake,Apache-2.0,2020-07-01 04:37:44.000,2025-01-07 23:11:46.000000,2024-12-03 12:26:16,792.0,1.0,71.0,27.0,1019.0,127.0,65.0,1650.0,Version control for machine learning.,18.0,18,True,2021-03-11 21:15:01.000,0.4.2,7.0,keepsake,,,,,1.0,,https://pypi.org/project/keepsake,2021-01-25 21:51:16.000,1.0,171.0,171.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +796,Advisor,tobegit3hub/advisor,hyperopt,,https://github.com/tobegit3hub/advisor,https://github.com/tobegit3hub/advisor,Apache-2.0,2017-09-14 03:50:33.000,2019-11-11 07:09:57.869705,2019-11-11 06:59:31,165.0,,256.0,52.0,13.0,20.0,13.0,1551.0,Open-source implementation of Google Vizier for hyper parameters tuning.,11.0,18,False,2018-10-18 02:54:09.000,0.1.6,4.0,advisor,,tobegit3hub/advisor,,,,,https://pypi.org/project/advisor,2018-10-18 02:54:09.000,,169.0,188.0,,,,https://hub.docker.com/r/tobegit3hub/advisor,2019-11-11 07:09:57.869705,,1701.0,3.0,,,,,,,,,,,,,,,,,,,, +797,Xcessiv,reiinakano/xcessiv,hyperopt,,https://github.com/reiinakano/xcessiv,https://github.com/reiinakano/xcessiv,Apache-2.0,2017-03-07 18:18:25.000,2018-06-06 22:23:37.000000,2017-08-21 00:51:15,316.0,,109.0,55.0,34.0,22.0,13.0,1269.0,"A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.",6.0,18,False,2017-08-21 00:53:25.000,0.5.1,34.0,xcessiv,,,,,4.0,3.0,https://pypi.org/project/xcessiv,2017-08-21 00:49:41.000,1.0,400.0,400.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +798,Torch-Struct,harvardnlp/pytorch-struct,pytorch-utils,,https://github.com/harvardnlp/pytorch-struct,https://github.com/harvardnlp/pytorch-struct,MIT,2019-08-26 19:34:30.000,2022-04-20 08:21:20.000000,2022-01-30 19:49:08,271.0,,93.0,33.0,72.0,31.0,30.0,1108.0,"Fast, general, and tested differentiable structured prediction in PyTorch.",16.0,18,False,2021-02-15 20:20:59.000,0.5,2.0,torch-struct,,,,['pytorch'],2.0,,https://pypi.org/project/torch-struct,2021-02-14 02:43:46.000,2.0,4375.0,4375.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +799,LOFO,aerdem4/lofo-importance,interpretability,,https://github.com/aerdem4/lofo-importance,https://github.com/aerdem4/lofo-importance,MIT,2019-01-14 10:46:46.000,2024-01-16 09:19:50.000000,2024-01-16 09:12:58,32.0,,86.0,13.0,35.0,3.0,25.0,821.0,Leave One Feature Out Importance.,6.0,18,True,2024-01-16 09:19:50.000,0.3.4,14.0,lofo-importance,,,,,41.0,37.0,https://pypi.org/project/lofo-importance,2024-01-16 09:19:50.000,4.0,3558.0,3558.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +800,Tensor Sensor,parrt/tensor-sensor,pytorch-utils,,https://github.com/parrt/tensor-sensor,https://github.com/parrt/tensor-sensor,MIT,2020-08-28 22:54:04.000,2025-01-01 07:35:12.509000,2022-04-07 20:49:56,235.0,,37.0,12.0,13.0,8.0,16.0,800.0,"The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy,..",4.0,18,False,2021-12-11 21:24:11.000,1.0,37.0,tensor-sensor,conda-forge/tensor-sensor,,,['pytorch'],48.0,48.0,https://pypi.org/project/tensor-sensor,2021-12-11 21:24:35.000,,615.0,716.0,https://anaconda.org/conda-forge/tensor-sensor,2025-01-01 07:35:12.509,3966.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +801,tffm,geffy/tffm,tensorflow-utils,,https://github.com/geffy/tffm,https://github.com/geffy/tffm,MIT,2016-05-02 17:06:07.000,2022-01-17 20:39:04.000000,2022-01-17 20:38:58,107.0,,175.0,33.0,15.0,19.0,22.0,781.0,TensorFlow implementation of an arbitrary order Factorization Machine.,11.0,18,False,2022-01-17 20:35:57.000,1.0.2,3.0,tffm,,,,['tensorflow'],16.0,16.0,https://pypi.org/project/tffm,2022-01-17 20:35:57.000,,101.0,101.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +802,ThunderGBM,Xtra-Computing/thundergbm,ml-frameworks,,https://github.com/Xtra-Computing/thundergbm,https://github.com/Xtra-Computing/thundergbm,Apache-2.0,2016-11-11 09:58:08.000,2024-01-29 12:26:32.000000,2024-01-29 12:26:25,611.0,,87.0,26.0,4.0,39.0,42.0,696.0,ThunderGBM: Fast GBDTs and Random Forests on GPUs.,12.0,18,True,2022-09-19 20:15:07.376,0.3.17,25.0,thundergbm,,,,,4.0,4.0,https://pypi.org/project/thundergbm,2022-09-19 20:15:07.376,,655.0,655.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +803,nboost,koursaros-ai/nboost,nlp,,https://github.com/koursaros-ai/nboost,https://github.com/koursaros-ai/nboost,Apache-2.0,2019-10-29 20:56:24.000,2020-09-30 14:51:16.000000,2020-07-16 19:48:25,1336.0,,65.0,17.0,21.0,29.0,50.0,676.0,"NBoost is a scalable, search-api-boosting platform for deploying transformer models to improve the relevance of search..",10.0,18,False,2020-06-12 20:05:15.000,0.3.9,26.0,nboost,,,,,5.0,5.0,https://pypi.org/project/nboost,2020-06-12 20:05:15.000,,413.0,413.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +804,fastT5,Ki6an/fastT5,nlp,,https://github.com/Ki6an/fastT5,https://github.com/Ki6an/fastT5,Apache-2.0,2021-03-11 08:46:42.000,2023-04-24 18:46:40.000000,2022-04-05 03:21:24,38.0,,72.0,13.0,10.0,26.0,41.0,572.0,boost inference speed of T5 models by 5x & reduce the model size by 3x.,5.0,18,False,2022-04-05 03:23:12.000,0.1.4,14.0,fastt5,,,,,54.0,54.0,https://pypi.org/project/fastt5,2022-04-05 03:23:12.000,,906.0,906.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +805,shap-hypetune,cerlymarco/shap-hypetune,hyperopt,,https://github.com/cerlymarco/shap-hypetune,https://github.com/cerlymarco/shap-hypetune,MIT,2021-05-16 09:30:03.000,2024-06-08 12:12:57.000000,2024-02-21 14:09:04,30.0,,69.0,7.0,6.0,4.0,32.0,567.0,A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.,3.0,18,True,2024-02-21 14:38:09.000,0.2.7,10.0,shap-hypetune,,,,,22.0,20.0,https://pypi.org/project/shap-hypetune,2024-02-21 14:34:22.000,2.0,1850.0,1850.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +806,scikit-tda,scikit-tda/scikit-tda,sklearn-utils,,https://github.com/scikit-tda/scikit-tda,https://github.com/scikit-tda/scikit-tda,MIT,2018-04-13 21:00:31.000,2024-07-19 18:49:00.000000,2024-07-19 16:10:42,70.0,,55.0,18.0,10.0,4.0,18.0,528.0,Topological Data Analysis for Python.,6.0,18,True,2024-07-19 18:49:00.000,1.1.1,6.0,scikit-tda,,,,['sklearn'],67.0,67.0,https://pypi.org/project/scikit-tda,2024-07-19 18:49:00.000,,1116.0,1116.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +807,Case Recommender,caserec/CaseRecommender,recommender-systems,,https://github.com/caserec/CaseRecommender,https://github.com/caserec/CaseRecommender,MIT,2015-11-12 18:25:39.000,2024-01-10 20:36:33.000000,2021-11-25 23:08:43,204.0,,92.0,22.0,19.0,6.0,20.0,489.0,Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems.,11.0,18,False,2021-11-25 23:19:05.000,1.1.1,42.0,caserecommender,,,,['sklearn'],15.0,15.0,https://pypi.org/project/caserecommender,2021-11-25 23:19:05.000,,964.0,964.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +808,DESlib,scikit-learn-contrib/DESlib,sklearn-utils,,https://github.com/scikit-learn-contrib/DESlib,https://github.com/scikit-learn-contrib/DESlib,BSD-3-Clause,2017-12-08 22:49:49.000,2024-04-15 06:19:14.000000,2024-04-15 06:19:14,282.0,,105.0,13.0,130.0,18.0,138.0,482.0,A Python library for dynamic classifier and ensemble selection.,17.0,18,True,2024-04-12 03:07:31.000,0.3.7,6.0,deslib,,,,['sklearn'],3.0,,https://pypi.org/project/deslib,2024-04-12 03:07:31.000,3.0,2177.0,2177.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +809,sklearn-evaluation,edublancas/sklearn-evaluation,interpretability,,https://github.com/edublancas/sklearn-evaluation,https://github.com/edublancas/sklearn-evaluation,MIT,2023-01-15 21:18:52.000,2024-09-18 17:05:04.000000,2023-01-13 21:57:34,832.0,,54.0,,,,,455.0,"Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook..",19.0,18,False,2024-09-18 17:05:04.000,0.12.2,50.0,sklearn-evaluation,,,,['sklearn'],3.0,,https://pypi.org/project/sklearn-evaluation,2024-09-18 17:05:04.000,3.0,3920.0,3920.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +810,model-card-toolkit,tensorflow/model-card-toolkit,interpretability,,https://github.com/tensorflow/model-card-toolkit,https://github.com/tensorflow/model-card-toolkit,Apache-2.0,2020-07-24 16:48:58.000,2023-07-26 12:05:00.000000,2023-07-26 12:04:59,273.0,,85.0,20.0,248.0,10.0,23.0,427.0,A toolkit that streamlines and automates the generation of model cards.,22.0,18,False,2023-04-03 18:05:05.715,2.0.0,12.0,model-card-toolkit,,,,,1.0,,https://pypi.org/project/model-card-toolkit,2022-04-28 16:34:21.000,1.0,2217.0,2217.0,,,,,,,,3.0,31.0,,,,,,,,,,,,,,,,,,, +811,textaugment,dsfsi/textaugment,nlp,,https://github.com/dsfsi/textaugment,https://github.com/dsfsi/textaugment,MIT,2019-05-06 12:28:19.000,2024-02-20 11:57:52.000000,2023-11-17 08:50:12,72.0,,60.0,8.0,12.0,11.0,18.0,410.0,TextAugment: Text Augmentation Library.,8.0,18,False,2023-11-16 20:54:10.000,2.0.0,9.0,textaugment,,,,,146.0,142.0,https://pypi.org/project/textaugment,2023-11-16 20:49:04.000,4.0,5483.0,5484.0,,,,,,,,3.0,131.0,,,,,,,,,,,,,,,,,,, +812,carefree-learn,carefree0910/carefree-learn,tabular,,https://github.com/carefree0910/carefree-learn,https://github.com/carefree0910/carefree-learn,MIT,2020-06-17 17:44:17.000,2024-03-18 12:01:04.000000,2024-03-18 12:01:00,5152.0,,38.0,12.0,1.0,2.0,80.0,407.0,Deep Learning PyTorch.,1.0,18,True,2024-01-09 05:17:07.000,0.5.0,103.0,carefree-learn,,,,['pytorch'],8.0,8.0,https://pypi.org/project/carefree-learn,2024-01-09 05:17:07.000,,1713.0,1713.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +813,datmo,datmo/datmo,ml-experiments,,https://github.com/datmo/datmo,https://github.com/datmo/datmo,MIT,2017-11-03 05:46:43.000,2022-06-21 21:41:58.000000,2019-11-29 00:48:44,1051.0,,30.0,11.0,121.0,31.0,150.0,344.0,Open source production model management tool for data scientists.,6.0,18,False,2018-12-07 06:16:42.000,0.0.40,41.0,datmo,,,,,7.0,7.0,https://pypi.org/project/datmo,2018-12-07 06:16:42.000,,776.0,776.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +814,bluefog,Bluefog-Lib/bluefog,distributed-ml,,https://github.com/Bluefog-Lib/bluefog,https://github.com/Bluefog-Lib/bluefog,Apache-2.0,2019-12-03 05:27:21.000,2024-07-25 10:59:34.000000,2023-03-28 03:38:13,1094.0,,69.0,28.0,59.0,30.0,32.0,295.0,Distributed and decentralized training framework for PyTorch over graph.,9.0,18,False,2021-05-15 01:39:45.000,0.3.0,10.0,bluefog,,,,['pytorch'],5.0,5.0,https://pypi.org/project/bluefog,2021-05-15 01:39:45.000,,188.0,191.0,,,,,,,,3.0,206.0,,,,,,,,,,,,,,,,,,, +815,DeepGraph,deepgraph/deepgraph,graph,,https://github.com/deepgraph/deepgraph,https://github.com/deepgraph/deepgraph,BSD-3-Clause,2015-10-27 12:28:45.000,2024-09-03 22:45:13.000000,2024-03-27 08:46:27,190.0,,41.0,19.0,4.0,10.0,8.0,286.0,Analyze Data with Pandas-based Networks. Documentation:.,3.0,18,False,2024-03-27 10:16:33.000,0.2.4,14.0,deepgraph,conda-forge/deepgraph,,,['pandas'],12.0,12.0,https://pypi.org/project/deepgraph,2024-03-27 10:16:33.000,,1316.0,6130.0,https://anaconda.org/conda-forge/deepgraph,2024-07-11 16:39:33.824,245545.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +816,solt,Oulu-IMEDS/solt,image,,https://github.com/imedslab/solt,https://github.com/imedslab/solt,MIT,2018-08-02 15:09:05.000,2024-11-22 00:27:00.000000,2024-11-22 00:26:52,380.0,1.0,20.0,6.0,33.0,20.0,44.0,265.0,Streaming over lightweight data transformations.,6.0,18,False,2020-03-10 14:09:31.000,0.1.9,18.0,solt,,,,,63.0,60.0,https://pypi.org/project/solt,2020-03-10 14:09:31.000,3.0,515.0,515.0,,,,,,,,3.0,,,imedslab/solt,,,,,,,,,,,,,,,,, +817,skift,shaypal5/skift,nlp,,https://github.com/shaypal5/skift,https://github.com/shaypal5/skift,MIT,2018-02-03 11:37:21.000,2022-06-07 15:07:07.000000,2022-06-07 15:07:04,141.0,,24.0,10.0,8.0,1.0,10.0,235.0,scikit-learn wrappers for Python fastText.,9.0,18,False,2022-02-14 13:45:54.000,0.0.23,18.0,skift,,,,['sklearn'],17.0,17.0,https://pypi.org/project/skift,2018-03-15 09:05:47.000,,17035.0,17035.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +818,Muda,bmcfee/muda,audio,,https://github.com/bmcfee/muda,https://github.com/bmcfee/muda,ISC,2014-11-07 21:21:22.000,2021-12-15 16:53:25.527000,2021-05-03 14:04:36,293.0,,33.0,14.0,36.0,9.0,44.0,233.0,A library for augmenting annotated audio data.,7.0,18,False,2019-11-15 15:46:21.000,0.4.1,12.0,muda,,,,,33.0,31.0,https://pypi.org/project/muda,2019-11-15 15:46:21.000,2.0,151.0,151.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +819,chitra,gradsflow/chitra,ml-experiments,,https://github.com/aniketmaurya/chitra,https://github.com/aniketmaurya/chitra,Apache-2.0,2020-01-23 14:17:54.000,2025-01-07 01:49:25.000000,2024-06-01 12:08:31,372.0,,37.0,6.0,135.0,,35.0,225.0,"A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model..",14.0,18,False,2021-11-26 17:10:22.000,0.2.0,38.0,chitra,conda-forge/chitra,,,,1.0,,https://pypi.org/project/chitra,2022-01-09 08:50:45.005,1.0,1310.0,1421.0,https://anaconda.org/conda-forge/chitra,2025-01-03 20:34:33.129,4020.0,,,,,3.0,,,aniketmaurya/chitra,,,,,,,,,,,,,,,,, +820,nvidia-ml-py3,nicolargo/nvidia-ml-py3,gpu-utilities,,https://github.com/nicolargo/nvidia-ml-py3,https://github.com/nicolargo/nvidia-ml-py3,BSD-3-Clause,2017-06-03 07:47:03.000,2024-06-30 08:01:08.000000,2024-06-30 08:01:08,6.0,,57.0,5.0,2.0,3.0,1.0,134.0,Python 3 Bindings for the NVIDIA Management Library.,2.0,18,False,2017-06-03 07:43:46.000,7.352.0,1.0,nvidia-ml-py3,anaconda/nvidia-ml,,,,10215.0,10086.0,https://pypi.org/project/nvidia-ml-py3,2017-06-03 07:43:46.000,129.0,257506.0,257536.0,https://anaconda.org/anaconda/nvidia-ml,2023-06-16 19:26:58.970,1290.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +821,DeepMind Lab,deepmind/lab,reinforcement-learning,,https://github.com/google-deepmind/lab,https://github.com/google-deepmind/lab,,2016-11-30 13:41:26.000,2023-01-04 15:38:37.000000,2023-01-04 15:19:06,509.0,,1352.0,465.0,21.0,59.0,167.0,7153.0,A customisable 3D platform for agent-based AI research.,9.0,17,False,2020-12-07 11:26:33.000,release-2020-12-07,8.0,,,,,,,,,,,,,,,,,,,,3.0,,,google-deepmind/lab,,,,,,,,,,,,,,,,, +822,scenic,google-research/scenic,image,,https://github.com/google-research/scenic,https://github.com/google-research/scenic,Apache-2.0,2021-07-12 14:27:08.000,2024-12-29 23:44:07.000000,2024-12-18 07:50:39,715.0,7.0,437.0,39.0,872.0,149.0,119.0,3380.0,Scenic: A Jax Library for Computer Vision Research and Beyond.,90.0,17,True,,,,,,,,['jax'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +823,pycls,facebookresearch/pycls,image,,https://github.com/facebookresearch/pycls,https://github.com/facebookresearch/pycls,MIT,2019-06-10 22:47:17.000,2024-03-20 15:45:40.000000,2023-08-26 20:55:56,106.0,,237.0,60.0,106.0,27.0,56.0,2143.0,"Codebase for Image Classification Research, written in PyTorch.",19.0,17,False,2021-05-21 00:29:47.000,0.2,3.0,pycls,,,,['pytorch'],,,https://pypi.org/project/pycls,2020-09-05 00:21:00.000,,1024.0,1024.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +824,Tez,abhishekkrthakur/tez,pytorch-utils,,https://github.com/abhishekkrthakur/tez,https://github.com/abhishekkrthakur/tez,Apache-2.0,2020-11-13 10:19:22.000,2023-01-29 16:52:18.000000,2022-09-16 11:03:31,144.0,,143.0,17.0,11.0,25.0,18.0,1164.0,Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle..,2.0,17,False,2022-09-20 02:28:33.973,0.7.2,26.0,tez,,,,['pytorch'],59.0,57.0,https://pypi.org/project/tez,2022-09-20 02:28:33.973,2.0,677.0,677.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +825,Fiber,uber/fiber,distributed-ml,,https://github.com/uber/fiber,https://github.com/uber/fiber,Apache-2.0,2020-01-07 18:16:24.000,2023-03-19 22:55:22.000000,2021-03-15 07:00:08,66.0,,110.0,19.0,37.0,20.0,8.0,1041.0,Distributed Computing for AI Made Simple.,5.0,17,False,2020-07-09 03:28:28.000,0.2.1,6.0,fiber,,,,,88.0,87.0,https://pypi.org/project/fiber,2020-07-09 03:28:28.000,1.0,194.0,194.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +826,parallelformers,tunib-ai/parallelformers,distributed-ml,,https://github.com/tunib-ai/parallelformers,https://github.com/tunib-ai/parallelformers,Apache-2.0,2021-07-17 12:50:43.000,2023-04-24 11:42:30.000000,2022-07-27 19:55:38,93.0,,57.0,15.0,10.0,26.0,17.0,781.0,Parallelformers: An Efficient Model Parallelization Toolkit for Deployment.,5.0,17,False,2022-07-27 19:52:00.185,1.2.7,19.0,parallelformers,,,,,62.0,62.0,https://pypi.org/project/parallelformers,2022-07-27 19:52:00.185,,417.0,417.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +827,Caer,jasmcaus/caer,image,,https://github.com/jasmcaus/caer,https://github.com/jasmcaus/caer,MIT,2020-08-06 18:36:14.000,2023-10-13 12:16:35.000000,2023-04-01 08:26:45,5080.0,,102.0,20.0,58.0,2.0,13.0,778.0,"A lightweight Computer Vision library. Scale your models, not boilerplate.",8.0,17,False,2021-10-13 21:04:12.000,2.0.8,119.0,caer,,,https://caer.rtfd.io,,2.0,,https://pypi.org/project/caer,2021-10-13 21:04:12.000,2.0,7428.0,7428.0,,,,,,,,3.0,48.0,,,,,,,,,,,,,,,,,,, +828,HyperparameterHunter,HunterMcGushion/hyperparameter_hunter,hyperopt,,https://github.com/HunterMcGushion/hyperparameter_hunter,https://github.com/HunterMcGushion/hyperparameter_hunter,MIT,2018-06-01 23:17:00.000,2021-01-20 03:52:41.000000,2021-01-20 03:52:40,1096.0,,103.0,24.0,101.0,37.0,84.0,705.0,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries.,4.0,17,False,2021-02-16 11:34:12.211,3.0.0,16.0,hyperparameter-hunter,,,,,,,https://pypi.org/project/hyperparameter-hunter,2018-06-14 02:21:57.000,,474.0,481.0,,,,,,,,3.0,562.0,,,,,,,,,,,,,,,,,,, +829,textflint,textflint/textflint,adversarial,,https://github.com/textflint/textflint,https://github.com/textflint/textflint,GPL-3.0,2021-03-06 11:15:52.000,2022-09-27 17:09:16.000000,2022-06-21 04:27:47,257.0,,94.0,18.0,19.0,5.0,29.0,643.0,Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing.,18.0,17,False,2022-03-15 07:18:47.000,0.1.0,6.0,textflint,,,,,19.0,19.0,https://pypi.org/project/textflint,2022-03-15 07:18:47.000,,253.0,253.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +830,kglib,vaticle/kglib,graph,,https://github.com/typedb/typedb-ml,https://github.com/typedb/typedb-ml,Apache-2.0,2018-09-16 16:46:48.000,2023-11-18 17:08:08.000000,2023-11-18 17:08:08,508.0,,93.0,39.0,106.0,12.0,51.0,551.0,TypeDB-ML is the Machine Learning integrations library for TypeDB.,13.0,17,False,2022-07-29 11:37:34.000,0.3.0,8.0,grakn-kglib,,,,,,,https://pypi.org/project/grakn-kglib,2020-08-19 15:39:10.000,,203.0,206.0,,,,,,,,3.0,255.0,,typedb/typedb-ml,,,,,,,,,,,,,,,,, +831,Sematch,gsi-upm/sematch,graph,,https://github.com/gsi-upm/sematch,https://github.com/gsi-upm/sematch,Apache-2.0,2012-11-30 11:11:53.000,2023-11-07 11:11:44.000000,2023-11-07 11:10:46,137.0,,107.0,71.0,7.0,15.0,19.0,433.0,semantic similarity framework for knowledge graph.,10.0,17,False,2017-04-17 10:56:52.000,1.0.4,5.0,sematch,,,,,49.0,49.0,https://pypi.org/project/sematch,2017-04-17 10:56:52.000,,96.0,96.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +832,tfdeploy,riga/tfdeploy,model-serialisation,,https://github.com/riga/tfdeploy,https://github.com/riga/tfdeploy,BSD-3-Clause,2016-03-07 13:08:21.000,2025-01-04 18:56:14.000000,2025-01-04 18:56:14,175.0,1.0,38.0,21.0,5.0,11.0,23.0,353.0,Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.,4.0,17,True,2017-03-30 10:51:26.000,0.4.2,22.0,tfdeploy,,,,['tensorflow'],,,https://pypi.org/project/tfdeploy,2017-03-30 10:51:26.000,,337.0,337.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +833,skggm,skggm/skggm,sklearn-utils,,https://github.com/skggm/skggm,https://github.com/skggm/skggm,MIT,2016-06-11 18:35:56.000,2024-03-20 15:29:38.000000,2023-06-15 16:53:55,703.0,,43.0,11.0,61.0,31.0,47.0,244.0,Scikit-learn compatible estimation of general graphical models.,7.0,17,False,2018-09-12 01:12:49.000,0.2.8,6.0,skggm,,,,['sklearn'],22.0,18.0,https://pypi.org/project/skggm,2018-09-12 01:12:49.000,4.0,109.0,109.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +834,modelkit,Cornerstone-OnDemand/modelkit,model-serialisation,,https://github.com/Cornerstone-OnDemand/modelkit,https://github.com/Cornerstone-OnDemand/modelkit,MIT,2021-05-14 12:10:51.000,2024-06-06 14:34:14.000000,2024-06-06 14:27:44,864.0,,17.0,8.0,184.0,11.0,23.0,154.0,Toolkit for developing and maintaining ML models.,14.0,17,False,2024-02-02 14:57:28.000,0.1.2,35.0,modelkit,,,,,,,https://pypi.org/project/modelkit,2024-02-02 14:55:53.000,,8699.0,8699.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +835,steppy,minerva-ml/steppy,ml-experiments,,https://github.com/minerva-ml/steppy,https://github.com/minerva-ml/steppy,MIT,2018-01-15 09:40:49.000,2018-11-23 09:49:59.000000,2018-11-23 09:47:34,69.0,,32.0,13.0,54.0,13.0,50.0,134.0,"Lightweight, Python library for fast and reproducible experimentation.",7.0,17,False,2018-11-23 09:49:59.000,0.1.16,16.0,steppy,,,,,65.0,60.0,https://pypi.org/project/steppy,2018-11-23 09:49:59.000,5.0,259.0,259.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +836,Collie,ShopRunner/collie,recommender-systems,,https://github.com/ShopRunner/collie,https://github.com/ShopRunner/collie,BSD-3-Clause,2021-04-12 20:54:06.000,2024-02-21 16:29:12.000000,2023-03-31 15:44:32,231.0,,20.0,31.0,53.0,7.0,7.0,108.0,"A library for preparing, training, and evaluating scalable deep learning hybrid recommender systems using PyTorch.",15.0,17,False,2023-03-31 16:09:03.477,1.3.1,10.0,collie,,,,['pytorch'],52.0,52.0,https://pypi.org/project/collie,2022-01-18 23:07:16.000,,398.0,398.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +837,OpenNRE,thunlp/OpenNRE,nlp,,https://github.com/thunlp/OpenNRE,https://github.com/thunlp/OpenNRE,MIT,2017-02-26 07:37:12.000,2024-01-10 11:52:49.000000,2024-01-10 11:52:48,177.0,,1055.0,123.0,24.0,17.0,353.0,4367.0,An Open-Source Package for Neural Relation Extraction (NRE).,14.0,16,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +838,StarSpace,facebookresearch/StarSpace,ml-frameworks,,https://github.com/facebookresearch/StarSpace,https://github.com/facebookresearch/StarSpace,MIT,2017-06-28 17:50:18.000,2022-12-04 04:02:21.000000,2019-12-13 19:03:25,138.0,,531.0,176.0,110.0,56.0,149.0,3950.0,"Learning embeddings for classification, retrieval and ranking.",17.0,16,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +839,Euler,alibaba/euler,graph,,https://github.com/alibaba/euler,https://github.com/alibaba/euler,Apache-2.0,2019-01-10 06:32:32.000,2023-08-19 12:30:48.000000,2020-07-29 05:53:01,8.0,,560.0,138.0,28.0,217.0,102.0,2902.0,A distributed graph deep learning framework.,5.0,16,False,2020-07-07 02:24:18.000,2.0.0,2.0,euler-gl,,,,['tensorflow'],2.0,2.0,https://pypi.org/project/euler-gl,2019-04-10 01:53:45.000,,44.0,44.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +840,automl-gs,minimaxir/automl-gs,hyperopt,,https://github.com/minimaxir/automl-gs,https://github.com/minimaxir/automl-gs,MIT,2019-01-13 18:57:44.000,2019-10-22 11:20:40.000000,2019-04-05 06:48:14,102.0,,170.0,61.0,10.0,26.0,6.0,1856.0,"Provide an input CSV and a target field to predict, generate a model + code to run it.",7.0,16,False,2019-04-05 06:51:04.000,0.2.1,2.0,automl_gs,,,,,,,https://pypi.org/project/automl_gs,2019-04-05 06:47:54.000,,77.0,77.0,,,,,,,,3.0,52.0,,,,,,,,,,,,,,,,,,, +841,MedicalTorch,perone/medicaltorch,medical-data,,https://github.com/perone/medicaltorch,https://github.com/perone/medicaltorch,Apache-2.0,2018-02-27 02:50:07.000,2024-04-26 17:46:05.000000,2021-04-16 18:50:54,57.0,,123.0,48.0,22.0,15.0,9.0,857.0,A medical imaging framework for Pytorch.,8.0,16,False,2018-11-24 00:33:11.000,0.2,2.0,medicaltorch,,,,['pytorch'],18.0,18.0,https://pypi.org/project/medicaltorch,2018-11-24 00:29:36.000,,295.0,295.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +842,madgrad,facebookresearch/madgrad,pytorch-utils,,https://github.com/facebookresearch/madgrad,https://github.com/facebookresearch/madgrad,MIT,2021-01-12 19:41:06.000,2023-04-11 19:24:43.000000,2023-04-11 19:24:38,24.0,,57.0,17.0,7.0,,10.0,803.0,MADGRAD Optimization Method.,2.0,16,False,,,4.0,madgrad,,,,['pytorch'],95.0,94.0,https://pypi.org/project/madgrad,2022-03-08 18:23:32.000,1.0,2800.0,2800.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +843,FlashTorch,MisaOgura/flashtorch,interpretability,,https://github.com/MisaOgura/flashtorch,https://github.com/MisaOgura/flashtorch,MIT,2019-03-22 13:00:57.000,2023-09-21 07:22:50.000000,2023-09-21 07:22:50,127.0,,85.0,16.0,15.0,10.0,22.0,738.0,Visualization toolkit for neural networks in PyTorch! Demo --.,2.0,16,False,2020-05-29 14:39:38.000,0.1.3,12.0,flashtorch,,,,['pytorch'],23.0,23.0,https://pypi.org/project/flashtorch,2020-05-29 14:38:32.000,,236.0,236.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +844,TensorFrames,databricks/tensorframes,distributed-ml,,https://github.com/databricks/tensorframes,https://github.com/databricks/tensorframes,Apache-2.0,2016-03-04 19:25:19.000,2018-12-28 23:37:03.000000,,,,150.0,,,51.0,,718.0,Tensorflow wrapper for DataFrames on Apache Spark.,9.0,16,False,2018-05-16 14:20:28.000,0.2.9,2.0,tensorframes,,,,"['tensorflow', 'spark']",1.0,,https://pypi.org/project/tensorframes,2018-05-16 14:20:28.000,1.0,10491.0,10491.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +845,cuSignal,rapidsai/cusignal,gpu-utilities,,https://github.com/rapidsai/cusignal,https://github.com/rapidsai/cusignal,Apache-2.0,2019-08-22 14:27:27.000,2023-09-21 18:53:21.000000,2023-09-21 18:53:18,1296.0,,128.0,43.0,435.0,25.0,130.0,716.0,GPU accelerated signal processing.,46.0,16,False,2023-08-09 16:45:21.000,23.08.00,21.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +846,SpeedTorch,Santosh-Gupta/SpeedTorch,gpu-utilities,,https://github.com/Santosh-Gupta/SpeedTorch,https://github.com/Santosh-Gupta/SpeedTorch,MIT,2019-09-07 18:57:52.000,2020-02-21 23:13:29.000000,2020-02-21 23:13:28,170.0,,38.0,24.0,4.0,4.0,2.0,685.0,Library for faster pinned CPU - GPU transfer in Pytorch.,3.0,16,False,2020-01-06 05:27:17.000,0.1.6,14.0,SpeedTorch,,,,['pytorch'],9.0,7.0,https://pypi.org/project/SpeedTorch,2020-01-06 05:27:17.000,2.0,307.0,307.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +847,KD-Lib,SforAiDl/KD_Lib,others,,https://github.com/SforAiDl/KD_Lib,https://github.com/SforAiDl/KD_Lib,MIT,2020-05-10 13:08:42.000,2023-03-01 21:06:37.000000,2023-03-01 21:03:09,298.0,,57.0,16.0,83.0,18.0,49.0,613.0,A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge..,6.0,16,False,2022-05-18 08:35:04.000,0.0.32,8.0,KD-Lib,,,,['pytorch'],,,https://pypi.org/project/KD-Lib,2022-05-18 08:35:04.000,,225.0,225.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +848,NeuralCompression,facebookresearch/NeuralCompression,others,,https://github.com/facebookresearch/NeuralCompression,https://github.com/facebookresearch/NeuralCompression,MIT,2021-07-09 15:14:13.000,2024-09-20 14:21:23.000000,2024-09-20 14:21:18,142.0,,42.0,21.0,171.0,6.0,65.0,522.0,A collection of tools for neural compression enthusiasts.,10.0,16,True,2023-10-03 14:26:28.000,0.3.1,6.0,neuralcompression,,,,,,,https://pypi.org/project/neuralcompression,2023-10-03 14:26:28.000,,161.0,161.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +849,caliban,google/caliban,ml-experiments,,https://github.com/google/caliban,https://github.com/google/caliban,Apache-2.0,2020-06-02 18:12:50.000,2024-06-06 22:38:20.000000,2024-01-25 16:57:26,261.0,,66.0,19.0,101.0,19.0,15.0,495.0,"Research workflows made easy, locally and in the Cloud.",10.0,16,True,2023-06-16 17:26:21.434,0.4.2,11.0,caliban,,,,,4.0,4.0,https://pypi.org/project/caliban,2020-09-12 19:41:23.000,,410.0,410.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +850,VizSeq,facebookresearch/vizseq,nlp,,https://github.com/facebookresearch/vizseq,https://github.com/facebookresearch/vizseq,MIT,2019-08-26 13:19:38.000,2024-10-29 16:15:42.000000,2024-09-28 19:49:30,81.0,,61.0,16.0,68.0,7.0,9.0,443.0,"An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.).",4.0,16,True,2020-08-07 01:13:52.000,0.1.15,16.0,vizseq,,,,,12.0,12.0,https://pypi.org/project/vizseq,2020-08-07 01:13:52.000,,217.0,217.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +851,OpenRec,ylongqi/openrec,recommender-systems,,https://github.com/ylongqi/openrec,https://github.com/ylongqi/openrec,Apache-2.0,2017-11-29 16:04:40.000,2023-03-24 23:54:19.000000,2020-02-19 07:57:17,213.0,,84.0,36.0,47.0,5.0,12.0,413.0,OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms.,11.0,16,False,2020-02-18 06:52:11.000,0.3.0,12.0,openrec,,,,,5.0,4.0,https://pypi.org/project/openrec,2020-02-18 06:52:11.000,1.0,148.0,148.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +852,Pywick,achaiah/pywick,pytorch-utils,,https://github.com/achaiah/pywick,https://github.com/achaiah/pywick,MIT,2019-03-25 15:42:47.000,2022-02-04 15:57:11.000000,2021-10-22 03:09:17,149.0,,38.0,15.0,39.0,2.0,13.0,397.0,High-level batteries-included neural network training library for Pytorch.,4.0,16,False,2021-10-22 03:19:11.000,0.6.5,8.0,pywick,,,,['pytorch'],12.0,12.0,https://pypi.org/project/pywick,2021-10-22 03:19:11.000,,110.0,110.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +853,pdvega,altair-viz/pdvega,data-viz,,https://github.com/altair-viz/pdvega,https://github.com/altair-viz/pdvega,MIT,2018-01-11 21:30:27.000,2019-03-29 16:09:14.000000,2019-03-29 16:09:13,177.0,,32.0,23.0,21.0,17.0,10.0,344.0,Interactive plotting for Pandas using Vega-Lite.,9.0,16,False,,,1.0,pdvega,,,,,90.0,90.0,https://pypi.org/project/pdvega,2018-02-01 04:56:43.000,,34.0,34.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +854,pandas-ml,pandas-ml/pandas-ml,others,,https://github.com/pandas-ml/pandas-ml,https://github.com/pandas-ml/pandas-ml,BSD-3-Clause,2015-02-21 03:14:04.000,2020-08-14 12:29:33.000000,2019-03-05 01:36:55,153.0,,79.0,18.0,93.0,30.0,18.0,318.0,"pandas, scikit-learn, xgboost and seaborn integration.",5.0,16,False,2019-03-05 01:36:12.000,0.6.1,9.0,pandas-ml,,,,"['sklearn', 'pandas']",2.0,,https://pypi.org/project/pandas-ml,2019-03-05 01:35:23.000,2.0,2757.0,2757.0,,,,,,,,3.0,12.0,,,,,,,,,,,,,,,,,,, +855,Torch Points 3D,nicolas-chaulet/torch-points3d,image,,https://github.com/nicolas-chaulet/torch-points3d,https://github.com/nicolas-chaulet/torch-points3d,BSD-3-Clause,2022-01-09 14:41:37.000,2021-12-10 20:17:18.000000,2021-12-10 20:17:18,1788.0,,47.0,1.0,,,,224.0,Pytorch framework for doing deep learning on point clouds.,29.0,16,False,2021-04-30 09:00:22.000,1.3.0,14.0,torch-points3d,,,,['pytorch'],,,https://pypi.org/project/torch-points3d,2021-04-30 09:00:22.000,,869.0,869.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +856,ipyexperiments,stas00/ipyexperiments,gpu-utilities,,https://github.com/stas00/ipyexperiments,https://github.com/stas00/ipyexperiments,Apache-2.0,2018-11-15 01:19:40.000,2023-12-15 03:22:24.000000,2023-12-15 03:22:22,207.0,,14.0,9.0,2.0,,5.0,210.0,"Automatic GPU+CPU memory profiling, re-use and memory leaks detection using jupyter/ipython experiment containers.",3.0,16,False,2023-12-15 03:21:06.000,0.1.29,25.0,ipyexperiments,,,,['jupyter'],12.0,10.0,https://pypi.org/project/ipyexperiments,2023-12-15 03:21:06.000,2.0,566.0,566.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +857,HugsVision,qanastek/HugsVision,image,,https://github.com/qanastek/HugsVision,https://github.com/qanastek/HugsVision,MIT,2021-08-12 21:46:08.000,2023-08-13 00:37:26.000000,2023-01-22 01:25:39,75.0,,19.0,5.0,2.0,17.0,23.0,196.0,HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision.,2.0,16,False,2023-01-22 01:21:35.467,0.75.5,78.0,hugsvision,,,,['huggingface'],14.0,14.0,https://pypi.org/project/hugsvision,2023-01-22 01:21:35.467,,1907.0,1907.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +858,ZhuSuan,thu-ml/zhusuan,probabilistics,,https://github.com/thu-ml/zhusuan,https://github.com/thu-ml/zhusuan,MIT,2016-07-18 13:31:38.000,2022-12-17 20:33:19.000000,2019-08-05 10:00:04,439.0,,420.0,144.0,72.0,12.0,53.0,2215.0,"A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow.",20.0,15,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +859,BLINK,facebookresearch/BLINK,nlp,,https://github.com/facebookresearch/BLINK,https://github.com/facebookresearch/BLINK,MIT,2019-09-25 21:27:44.000,2023-09-21 16:18:30.000000,2021-04-02 03:03:34,211.0,,232.0,39.0,40.0,73.0,34.0,1177.0,Entity Linker solution.,16.0,15,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +860,TextBox,RUCAIBox/TextBox,nlp,,https://github.com/RUCAIBox/TextBox,https://github.com/RUCAIBox/TextBox,MIT,2020-11-08 07:35:46.000,2023-07-27 14:39:30.000000,2023-05-18 02:26:52,1358.0,,117.0,20.0,295.0,3.0,70.0,1080.0,TextBox 2.0 is a text generation library with pre-trained language models.,18.0,15,False,2022-12-28 02:06:22.000,2.0.0,10.0,textbox,,,,,7.0,7.0,https://pypi.org/project/textbox,2021-04-15 09:35:06.000,,2.0,2.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +861,Translate,pytorch/translate,nlp,,https://github.com/pytorch/translate,https://github.com/pytorch/translate,BSD-3-Clause,2018-04-24 16:44:04.000,2023-04-27 20:56:00.000000,2022-06-10 23:04:56,813.0,,203.0,43.0,667.0,28.0,27.0,828.0,Translate - a PyTorch Language Library.,88.0,15,False,,,1.0,pytorch-translate,,,,['pytorch'],,,https://pypi.org/project/pytorch-translate,2018-05-01 19:59:40.000,,19.0,19.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +862,Anchor,marcotcr/anchor,interpretability,,https://github.com/marcotcr/anchor,https://github.com/marcotcr/anchor,BSD-2-Clause,2018-02-02 23:38:50.000,2022-07-19 18:09:12.000000,2022-07-19 18:08:39,47.0,,112.0,29.0,10.0,25.0,51.0,799.0,Code for High-Precision Model-Agnostic Explanations paper.,10.0,15,False,,,10.0,anchor_exp,,,,,2.0,,https://pypi.org/project/anchor_exp,2020-09-10 22:52:00.000,2.0,1038.0,1038.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +863,atspy,firmai/atspy,time-series-data,,https://github.com/firmai/atspy,https://github.com/firmai/atspy,MIT,2020-01-28 05:00:10.000,2022-11-21 21:55:23.000000,2021-12-18 09:26:18,99.0,,88.0,21.0,18.0,22.0,2.0,515.0,AtsPy: Automated Time Series Models in Python (by @firmai).,5.0,15,False,2020-11-12 16:10:48.000,zen,39.0,atspy,,,,,14.0,14.0,https://pypi.org/project/atspy,2020-04-24 18:16:15.000,,703.0,703.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +864,ExplainX.ai,explainX/explainx,interpretability,,https://github.com/explainX/explainx,https://github.com/explainX/explainx,MIT,2020-06-16 14:27:15.000,2024-08-21 16:55:05.000000,2024-08-21 16:55:05,192.0,,53.0,10.0,17.0,10.0,29.0,421.0,Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line..,5.0,15,True,2021-02-07 11:06:21.000,2.407,56.0,explainx,,,,,,,https://pypi.org/project/explainx,2021-02-04 16:44:24.000,,928.0,928.0,,,,,,,,3.0,20.0,,,,,,,,,,,,,,,,,,, +865,interpret-text,interpretml/interpret-text,interpretability,,https://github.com/interpretml/interpret-text,https://github.com/interpretml/interpret-text,MIT,2019-09-04 16:39:48.000,2024-02-05 16:37:11.000000,2024-02-05 16:37:10,152.0,,69.0,19.0,177.0,87.0,16.0,421.0,A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the..,18.0,15,True,2021-12-07 15:12:02.000,0.1.3,5.0,interpret-text,,,,['jupyter'],,,https://pypi.org/project/interpret-text,2021-12-07 01:57:31.000,,204.0,204.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +866,Adversary,airbnb/artificial-adversary,adversarial,,https://github.com/airbnb/artificial-adversary,https://github.com/airbnb/artificial-adversary,MIT,2018-08-08 04:42:11.000,2023-06-16 19:21:01.312000,2018-08-29 15:31:30,15.0,,55.0,18.0,6.0,6.0,,399.0,Tool to generate adversarial text examples and test machine learning models against them.,5.0,15,False,2018-08-29 15:14:41.000,1.1.1,3.0,Adversary,conda-forge/artificial-adversary,,,,13.0,12.0,https://pypi.org/project/Adversary,2018-08-29 15:14:41.000,1.0,109.0,249.0,https://anaconda.org/conda-forge/artificial-adversary,2023-06-16 19:21:01.312,7563.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +867,ptgnn,microsoft/ptgnn,graph,,https://github.com/microsoft/ptgnn,https://github.com/microsoft/ptgnn,MIT,2020-05-12 08:42:30.000,2022-02-01 17:31:29.000000,2022-02-01 17:31:29,99.0,,39.0,12.0,17.0,2.0,5.0,375.0,A PyTorch Graph Neural Network Library.,8.0,15,False,2021-10-21 21:43:04.000,0.10.4,18.0,ptgnn,,,,['pytorch'],5.0,5.0,https://pypi.org/project/ptgnn,2021-10-21 21:43:04.000,,443.0,443.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +868,TorchDrift,torchdrift/torchdrift,pytorch-utils,,https://github.com/TorchDrift/TorchDrift,https://github.com/TorchDrift/TorchDrift,Apache-2.0,2021-02-10 09:27:48.000,2022-08-26 08:15:45.000000,2022-08-26 08:15:45,38.0,,15.0,11.0,6.0,9.0,6.0,311.0,Drift Detection for your PyTorch Models.,4.0,15,False,2021-03-08 12:21:48.000,0.1.0,3.0,torchdrift,,,,['pytorch'],28.0,28.0,https://pypi.org/project/torchdrift,2021-03-08 12:51:05.000,,203.0,203.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +869,data-describe,data-describe/data-describe,data-viz,,https://github.com/data-describe/data-describe,https://github.com/data-describe/data-describe,Apache-2.0,2020-05-04 17:58:14.000,2023-02-22 05:20:46.000000,2021-11-19 06:05:15,700.0,,19.0,13.0,271.0,64.0,181.0,298.0,datadescribe: Pythonic EDA Accelerator for Data Science.,13.0,15,False,,,5.0,data-describe,,,,,,,https://pypi.org/project/data-describe,2020-12-03 23:07:43.000,,475.0,475.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +870,nanodl,HMUNACHI/nanodl,ml-frameworks,,https://github.com/HMUNACHI/nanodl,https://github.com/HMUNACHI/nanodl,MIT,2023-08-22 13:22:24.000,2024-08-28 21:24:22.000000,2024-08-28 21:24:19,158.0,,11.0,9.0,15.0,2.0,7.0,279.0,A Jax-based library for designing and training transformer models from scratch.,3.0,15,False,2024-08-28 20:41:08.000,0.0.0,8.0,nanodl,,,,['jax'],2.0,2.0,https://pypi.org/project/nanodl,2024-08-28 20:41:08.000,,208.0,208.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +871,backprop,backprop-ai/backprop,model-serialisation,,https://github.com/backprop-ai/backprop,https://github.com/backprop-ai/backprop,Apache-2.0,2020-10-30 15:25:14.000,2024-07-31 15:16:51.000000,2021-05-03 09:15:21,219.0,,12.0,16.0,14.0,5.0,4.0,243.0,"Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.",8.0,15,False,2021-04-20 13:53:12.000,0.1.2,16.0,backprop,,,,,5.0,5.0,https://pypi.org/project/backprop,2024-07-31 15:16:51.000,,698.0,698.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +872,NeuralQA,victordibia/neuralqa,nlp,,https://github.com/victordibia/neuralqa,https://github.com/victordibia/neuralqa,MIT,2020-05-19 03:55:56.000,2023-06-07 20:12:03.000000,2020-12-16 17:41:37,312.0,,32.0,8.0,72.0,31.0,8.0,231.0,NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT.,3.0,15,False,,,27.0,neuralqa,,,,,6.0,6.0,https://pypi.org/project/neuralqa,2020-09-18 17:54:50.000,,264.0,264.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +873,Headliner,as-ideas/headliner,nlp,,https://github.com/as-ideas/headliner,https://github.com/as-ideas/headliner,MIT,2019-09-30 11:33:28.000,2021-03-26 07:19:57.000000,2020-02-14 09:03:27,276.0,,41.0,16.0,7.0,2.0,13.0,228.0,Easy training and deployment of seq2seq models.,2.0,15,False,2020-01-24 09:06:29.000,1.0.2,30.0,headliner,,,,,8.0,7.0,https://pypi.org/project/headliner,2020-01-24 09:06:29.000,1.0,1027.0,1027.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +874,nx-altair,Zsailer/nx_altair,data-viz,,https://github.com/Zsailer/nx_altair,https://github.com/Zsailer/nx_altair,MIT,2018-05-13 00:10:12.000,2023-09-27 23:13:07.000000,2020-06-02 21:10:26,51.0,,26.0,10.0,15.0,9.0,4.0,224.0,Draw interactive NetworkX graphs with Altair.,3.0,15,False,2020-06-02 21:11:12.000,0.1.6,8.0,nx-altair,,,,['jupyter'],9.0,,https://pypi.org/project/nx-altair,2020-06-02 21:11:12.000,9.0,667.0,667.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +875,Parfit,jmcarpenter2/parfit,hyperopt,,https://github.com/jmcarpenter2/parfit,https://github.com/jmcarpenter2/parfit,MIT,2017-11-22 20:17:51.000,2024-02-13 04:16:38.000000,2020-04-04 19:26:37,127.0,,28.0,5.0,5.0,6.0,5.0,197.0,"A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization..",4.0,15,False,,,23.0,parfit,,,,['sklearn'],29.0,29.0,https://pypi.org/project/parfit,2018-10-11 22:03:16.000,,684.0,684.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +876,DeepNeuro,QTIM-Lab/DeepNeuro,medical-data,,https://github.com/QTIM-Lab/DeepNeuro,https://github.com/QTIM-Lab/DeepNeuro,MIT,2017-06-01 19:36:34.000,2020-06-24 13:00:15.000000,2020-06-24 13:00:14,285.0,,37.0,14.0,18.0,27.0,18.0,125.0,A deep learning python package for neuroimaging data. Made by:.,6.0,15,False,2019-06-10 21:04:04.000,0.2.3,6.0,deepneuro,,,,,3.0,3.0,https://pypi.org/project/deepneuro,2019-06-10 21:04:04.000,,158.0,158.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +877,CometML,comet-ml/examples,ml-experiments,,,https://www.comet.com,MIT,,2024-12-23 18:24:49.000000,,,,,,,,,,Supercharging Machine Learning.,,15,True,2024-12-16 00:50:08.000,3.47.5,304.0,comet_ml,comet_ml,,,,83.0,,https://pypi.org/project/comet_ml,2024-12-23 18:24:49.000,83.0,151007.0,151007.0,https://anaconda.org/anaconda/comet_ml,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +878,GraphEmbedding,shenweichen/GraphEmbedding,graph,,https://github.com/shenweichen/GraphEmbedding,https://github.com/shenweichen/GraphEmbedding,MIT,2019-02-11 16:27:20.000,2024-03-14 09:28:18.000000,2022-06-21 18:24:09,30.0,,1001.0,64.0,13.0,45.0,26.0,3754.0,Implementation and experiments of graph embedding algorithms.,9.0,14,False,,,,,,,,['sklearn'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +879,GraphSAGE,williamleif/GraphSAGE,graph,,https://github.com/williamleif/GraphSAGE,https://github.com/williamleif/GraphSAGE,MIT,2017-05-29 15:36:22.000,2024-08-04 16:33:52.000000,2018-09-19 19:27:00,59.0,,843.0,78.0,35.0,120.0,59.0,3454.0,Representation learning on large graphs using stochastic graph convolutions.,9.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +880,OpenNE,thunlp/OpenNE,graph,,https://github.com/thunlp/OpenNE,https://github.com/thunlp/OpenNE,MIT,2017-10-08 04:58:20.000,2024-01-10 11:53:25.000000,2024-01-10 11:53:25,104.0,,488.0,66.0,26.0,10.0,97.0,1691.0,An Open-Source Package for Network Embedding (NE).,12.0,14,True,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +881,Medical Detection Toolkit,MIC-DKFZ/medicaldetectiontoolkit,medical-data,,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,Apache-2.0,2018-10-12 12:34:57.000,2024-06-17 22:47:46.000000,2022-04-04 08:29:54,41.0,,294.0,54.0,23.0,42.0,85.0,1314.0,"The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN,..",3.0,14,False,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +882,GraphVite,DeepGraphLearning/graphvite,graph,,https://github.com/DeepGraphLearning/graphvite,https://github.com/DeepGraphLearning/graphvite,Apache-2.0,2019-07-16 15:48:20.000,2024-06-14 21:18:09.000000,2024-06-14 21:18:09,16.0,,154.0,32.0,,53.0,60.0,1238.0,GraphVite: A General and High-performance Graph Embedding System.,1.0,14,True,,,4.0,,milagraph/graphvite,,,,,,,,,,77.0,https://anaconda.org/milagraph/graphvite,2023-06-16 16:16:18.265,5013.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +883,AutoGL,THUMNLab/AutoGL,graph,,https://github.com/THUMNLab/AutoGL,https://github.com/THUMNLab/AutoGL,Apache-2.0,2020-11-30 14:26:22.000,2024-08-08 16:55:04.000000,2024-02-05 15:11:35,743.0,,119.0,30.0,111.0,14.0,25.0,1094.0,An autoML framework & toolkit for machine learning on graphs.,16.0,14,True,2022-12-30 06:11:04.000,0.4.0,4.0,auto-graph-learning,,,,['pytorch'],,,https://pypi.org/project/auto-graph-learning,2020-12-23 08:05:25.000,,1.0,1.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +884,Skater,oracle/Skater,interpretability,,https://github.com/oracle/Skater,https://github.com/oracle/Skater,UPL-1.0,2017-01-26 05:45:42.000,2023-09-18 15:13:22.392000,,,,182.0,,,72.0,,1067.0,Python Library for Model Interpretation/Explanations.,7.0,14,False,2018-09-21 07:03:32.000,1.1.2,23.0,skater,conda-forge/skater,,,,1.0,,https://pypi.org/project/skater,2018-09-21 07:03:32.000,1.0,595.0,2178.0,https://anaconda.org/conda-forge/skater,2023-09-18 15:13:22.392,85496.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +885,tsaug,arundo/tsaug,time-series-data,,https://github.com/arundo/tsaug,https://github.com/arundo/tsaug,Apache-2.0,2019-09-27 00:38:05.000,2023-01-11 11:16:16.000000,2020-04-17 02:46:38,10.0,,37.0,11.0,8.0,10.0,3.0,348.0,A Python package for time series augmentation.,4.0,14,False,2020-04-17 02:50:25.000,0.2.1,4.0,tsaug,,,,,2.0,,https://pypi.org/project/tsaug,2020-04-17 02:50:25.000,2.0,1736.0,1736.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +886,ONNX-T5,abelriboulot/onnxt5,nlp,,https://github.com/abelriboulot/onnxt5,https://github.com/abelriboulot/onnxt5,Apache-2.0,2020-08-01 09:38:35.000,2022-11-02 18:43:57.000000,2021-01-28 09:24:52,74.0,,29.0,9.0,6.0,8.0,8.0,254.0,"Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version..",4.0,14,False,2021-01-28 09:26:15.000,0.1.8,11.0,onnxt5,,,,,4.0,4.0,https://pypi.org/project/onnxt5,2021-01-28 09:26:15.000,,143.0,143.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +887,spacy-dbpedia-spotlight,MartinoMensio/spacy-dbpedia-spotlight,nlp,,https://github.com/MartinoMensio/spacy-dbpedia-spotlight,https://github.com/MartinoMensio/spacy-dbpedia-spotlight,MIT,2020-04-29 19:35:04.000,2023-03-24 11:33:01.000000,2023-03-24 11:32:56,55.0,,11.0,8.0,4.0,6.0,14.0,107.0,A spaCy wrapper for DBpedia Spotlight.,5.0,14,False,2023-03-08 10:33:19.000,0.2.6,11.0,spacy-dbpedia-spotlight,,,,['spacy'],,,https://pypi.org/project/spacy-dbpedia-spotlight,2022-10-07 09:58:11.751,,13452.0,13452.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +888,nylon,Palashio/nylon,others,,https://github.com/Palashio/nylon,https://github.com/Palashio/nylon,MIT,2021-06-04 17:33:49.000,2021-07-29 20:34:04.000000,2021-07-23 19:37:10,185.0,,8.0,7.0,4.0,14.0,18.0,83.0,"An intelligent, flexible grammar of machine learning.",3.0,14,False,2021-06-25 14:27:32.000,0.0.7,8.0,nylon-ai,,,,,3.0,3.0,https://pypi.org/project/nylon-ai,2021-06-25 14:27:32.000,,217.0,217.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +889,LazyCluster,ml-tooling/lazycluster,distributed-ml,,https://github.com/ml-tooling/lazycluster,https://github.com/ml-tooling/lazycluster,Apache-2.0,2019-08-07 08:05:13.000,2023-02-16 02:23:02.000000,2021-08-19 13:59:11,444.0,,11.0,7.0,20.0,3.0,,49.0,Distributed machine learning made simple.,2.0,14,False,2020-12-14 15:25:59.000,0.2.4,5.0,lazycluster,,,,,44.0,44.0,https://pypi.org/project/lazycluster,2020-12-14 14:49:33.000,,146.0,146.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +890,OpenKE,thunlp/OpenKE,graph,,https://github.com/thunlp/OpenKE,https://github.com/thunlp/OpenKE,,2017-10-08 11:20:23.000,2024-01-10 11:51:05.000000,2024-01-10 11:51:05,143.0,,984.0,103.0,28.0,28.0,357.0,3884.0,An Open-Source Package for Knowledge Embedding (KE).,14.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +891,ENAS,carpedm20/ENAS-pytorch,hyperopt,,https://github.com/carpedm20/ENAS-pytorch,https://github.com/carpedm20/ENAS-pytorch,Apache-2.0,2018-02-15 04:54:37.000,2023-07-06 21:33:33.000000,2020-06-16 07:23:32,53.0,,484.0,108.0,12.0,39.0,8.0,2709.0,PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing.,6.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +892,ml-ane-transformers,apple/ml-ane-transformers,model-serialisation,,https://github.com/apple/ml-ane-transformers,https://github.com/apple/ml-ane-transformers,,2022-06-03 16:36:06.000,2023-04-25 09:24:38.000000,2022-08-09 04:03:14,5.0,,86.0,48.0,4.0,3.0,,2579.0,Reference implementation of the Transformer architecture optimized for Apple Neural Engine (ANE).,1.0,13,False,2022-08-09 04:22:55.000,0.1.3,4.0,ane-transformers,,,,['pytorch'],1.0,,https://pypi.org/project/ane-transformers,2022-08-09 04:22:00.465,1.0,1568.0,1570.0,,,,,,,,3.0,80.0,,,,,,,,,,,,,,,,,,, +893,traingenerator,jrieke/traingenerator,others,,https://github.com/jrieke/traingenerator,https://github.com/jrieke/traingenerator,MIT,2020-12-03 16:47:16.000,2023-08-23 08:35:09.000000,2022-06-30 14:05:23,118.0,,174.0,37.0,10.0,13.0,3.0,1370.0,A web app to generate template code for machine learning.,3.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +894,rliable,google-research/rliable,reinforcement-learning,,https://github.com/google-research/rliable,https://github.com/google-research/rliable,Apache-2.0,2021-08-20 00:41:06.000,2024-08-12 20:48:27.000000,2024-08-12 20:48:27,72.0,,48.0,11.0,11.0,3.0,16.0,792.0,"[NeurIPS21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of..",9.0,13,True,,,,rliable`,,,,,173.0,173.0,https://pypi.org/project/rliable`,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +895,deltapy,firmai/deltapy,tabular,,https://github.com/firmai/deltapy,https://github.com/firmai/deltapy,MIT,2020-04-08 05:27:53.000,2023-09-19 11:11:53.000000,2022-03-01 16:13:48,42.0,,53.0,17.0,3.0,2.0,1.0,539.0,DeltaPy - Tabular Data Augmentation (by @firmai).,4.0,13,False,2020-11-12 16:13:21.000,zen,11.0,deltapy,,,,,5.0,5.0,https://pypi.org/project/deltapy,2020-04-09 01:48:32.000,,211.0,211.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +896,TransferNLP,feedly/transfer-nlp,nlp,,https://github.com/feedly/transfer-nlp,https://github.com/feedly/transfer-nlp,MIT,2019-03-12 20:00:31.000,2024-07-25 10:16:22.000000,2020-05-28 17:31:53,465.0,,16.0,11.0,58.0,4.0,20.0,293.0,NLP library designed for reproducible experimentation management.,7.0,13,False,2020-05-28 19:00:02.000,0.1.6,8.0,transfer-nlp,,,,['pytorch'],,,https://pypi.org/project/transfer-nlp,2020-05-28 19:00:02.000,,122.0,122.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +897,Maze,enlite-ai/maze,reinforcement-learning,,https://github.com/enlite-ai/maze,https://github.com/enlite-ai/maze,Custom,2021-02-11 08:26:37.000,2024-12-19 13:05:21.000000,2022-11-21 12:12:41,1044.0,,11.0,7.0,26.0,1.0,2.0,267.0,Maze Applied Reinforcement Learning Framework.,3.0,13,False,2022-11-21 12:23:00.858,0.2.0,21.0,maze-rl,,enliteai/maze,,['pytorch'],,,https://pypi.org/project/maze-rl,2021-12-13 16:04:42.000,,317.0,322.0,,,,https://hub.docker.com/r/enliteai/maze,2021-06-24 21:00:27.801118,,281.0,3.0,11.0,,,,,,,,,,,,,,,,,,, +898,Auptimizer,LGE-ARC-AdvancedAI/auptimizer,hyperopt,,https://github.com/LGE-ARC-AdvancedAI/auptimizer,https://github.com/LGE-ARC-AdvancedAI/auptimizer,GPL-3.0,2019-09-12 01:08:37.000,2023-01-27 02:15:43.000000,2021-03-03 01:30:06,79.0,,28.0,21.0,44.0,1.0,5.0,200.0,An automatic ML model optimization tool.,11.0,13,False,2021-03-03 02:00:23.000,2.0,7.0,auptimizer,,,,,,,https://pypi.org/project/auptimizer,2021-03-02 02:40:32.000,,492.0,492.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +899,textvec,textvec/textvec,nlp,,https://github.com/textvec/textvec,https://github.com/textvec/textvec,MIT,2018-04-12 14:03:53.000,2024-06-17 22:44:04.000000,2024-01-09 14:26:42,74.0,,26.0,8.0,17.0,4.0,6.0,194.0,Text vectorization tool to outperform TFIDF for classification tasks.,11.0,13,False,2019-09-12 07:41:04.000,2.0,4.0,textvec,,,,['sklearn'],6.0,6.0,https://pypi.org/project/textvec,2020-12-03 14:17:09.000,,93.0,93.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +900,ModelChimp,ModelChimp/modelchimp,ml-experiments,,https://github.com/ModelChimp/modelchimp,https://github.com/ModelChimp/modelchimp,BSD-2-Clause,2018-11-05 08:39:03.000,2023-11-14 18:32:58.000000,2021-08-01 07:11:57,363.0,,12.0,5.0,1238.0,4.0,10.0,127.0,Experiment tracking for machine and deep learning projects.,3.0,13,False,2019-04-09 10:43:15.000,0.4.0,37.0,modelchimp,,modelchimp/modelchimp-server,,,,,https://pypi.org/project/modelchimp,2019-04-09 10:41:20.000,,462.0,471.0,,,,https://hub.docker.com/r/modelchimp/modelchimp-server,2019-04-09 10:15:09.532793,,693.0,3.0,,,,,,,,,,,,,,,,,,,, +901,Attribution Priors,suinleelab/attributionpriors,interpretability,,https://github.com/suinleelab/attributionpriors,https://github.com/suinleelab/attributionpriors,MIT,2019-06-24 23:54:24.000,2021-03-19 19:43:58.000000,2021-03-19 19:43:51,72.0,,9.0,6.0,,2.0,4.0,122.0,Tools for training explainable models using attribution priors.,6.0,13,False,2021-03-16 17:47:18.000,1.0.0,4.0,attributionpriors,,,,"['tensorflow', 'pytorch']",7.0,7.0,https://pypi.org/project/attributionpriors,2019-10-31 18:03:05.000,,210.0,210.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +902,Hypermax,electricbrainio/hypermax,hyperopt,,https://github.com/genixpro/hypermax,https://github.com/genixpro/hypermax,BSD-3-Clause,2018-07-27 18:43:01.000,2024-01-03 19:06:45.000000,2024-01-03 19:06:45,209.0,,13.0,12.0,5.0,3.0,2.0,112.0,"Better, faster hyper-parameter optimization.",8.0,13,False,2019-10-23 15:40:12.000,0.5.1,11.0,hypermax,,,,,6.0,6.0,https://pypi.org/project/hypermax,2019-10-23 15:40:12.000,,212.0,212.0,,,,,,,,3.0,,,genixpro/hypermax,,,,,,,,,,,,,,,,, +903,bias-detector,intuit/bias-detector,interpretability,,https://github.com/intuit/bias-detector,https://github.com/intuit/bias-detector,MIT,2021-02-02 16:58:52.000,2024-02-04 11:31:27.000000,2024-02-04 11:28:34,124.0,,12.0,12.0,17.0,,,43.0,Bias Detector is a python package for detecting bias in machine learning models.,4.0,13,False,2024-02-04 11:31:27.000,0.0.13,12.0,bias-detector,,,,,4.0,4.0,https://pypi.org/project/bias-detector,2024-02-04 11:31:27.000,,568.0,568.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +904,nptsne,biovault/nptsne,data-viz,,https://github.com/biovault/nptsne,https://github.com/biovault/nptsne,Apache-2.0,2019-06-28 08:40:25.000,2023-07-14 11:30:56.000000,2021-02-03 08:52:27,857.0,,2.0,3.0,3.0,7.0,6.0,32.0,nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.,3.0,13,False,2021-12-23 15:53:08.000,1.2.0,3.0,nptsne,,,,,8.0,8.0,https://pypi.org/project/nptsne,2021-12-23 15:53:08.000,,235.0,235.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +905,MedicalNet,Tencent/MedicalNet,medical-data,,https://github.com/Tencent/MedicalNet,https://github.com/Tencent/MedicalNet,MIT,2019-07-17 09:53:10.000,2023-07-06 21:26:54.000000,2020-08-27 13:37:26,26.0,,415.0,63.0,7.0,66.0,17.0,1967.0,Many studies have shown that the performance on deep learning is significantly affected by volume of training data...,1.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +906,surpriver,tradytics/surpriver,financial-data,,https://github.com/tradytics/surpriver,https://github.com/tradytics/surpriver,GPL-3.0,2020-08-30 07:56:22.000,2021-08-13 08:02:31.000000,2020-09-21 04:32:05,64.0,,328.0,90.0,11.0,12.0,6.0,1793.0,Find big moving stocks before they move using machine learning and anomaly detection.,6.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +907,autodist,petuum/autodist,distributed-ml,,https://github.com/petuum/autodist,https://github.com/petuum/autodist,Apache-2.0,2020-06-29 19:45:38.000,2022-09-23 22:45:06.000000,2021-01-28 00:04:40,208.0,,26.0,16.0,51.0,11.0,1.0,134.0,Simple Distributed Deep Learning on TensorFlow.,11.0,12,False,,,2.0,autodist,,,,['tensorflow'],4.0,4.0,https://pypi.org/project/autodist,2020-07-16 05:36:19.000,,115.0,115.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +908,jaxdf,ucl-bug/jaxdf,jax-utils,,https://github.com/ucl-bug/jaxdf,https://github.com/ucl-bug/jaxdf,LGPL-3.0,2021-09-08 16:38:46.000,2024-09-17 10:38:04.000000,2024-09-17 10:34:46,319.0,,7.0,7.0,127.0,9.0,9.0,123.0,A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations.,4.0,12,False,2024-09-17 10:36:38.000,0.2.8,10.0,,,,,['jax'],8.0,8.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +909,contextual-ai,SAP/contextual-ai,interpretability,,https://github.com/SAP-archive/contextual-ai,https://github.com/SAP-archive/contextual-ai,Apache-2.0,2020-05-12 07:15:56.000,2023-07-23 16:23:34.000000,2021-11-11 10:53:33,630.0,,12.0,13.0,26.0,4.0,13.0,86.0,"Contextual AI adds explainability to different stages of machine learning pipelines - data, training, and inference -..",12.0,12,False,2021-01-25 04:56:57.000,0.0.2,2.0,contextual-ai,,,,,,,https://pypi.org/project/contextual-ai,2021-01-25 04:56:57.000,,116.0,116.0,,,,,,,,3.0,,,SAP-archive/contextual-ai,,,,,,,,,,,,,,,,, +910,model_search,google/model_search,hyperopt,,https://github.com/google/model_search,https://github.com/google/model_search,Apache-2.0,2021-01-19 18:26:34.000,2024-07-30 21:36:15.000000,2022-02-09 22:20:11,9.0,,458.0,93.0,22.0,52.0,15.0,3268.0,AutoML algorithms for model architecture search at scale.,1.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +911,Devol,joeddav/devol,hyperopt,,https://github.com/joeddav/devol,https://github.com/joeddav/devol,MIT,2017-02-10 03:07:54.000,2023-05-25 14:45:47.000000,2020-07-05 21:56:58,116.0,,116.0,44.0,13.0,7.0,20.0,950.0,Genetic neural architecture search with Keras.,18.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +912,PySparNN,facebookresearch/pysparnn,nn-search,,https://github.com/facebookresearch/pysparnn,https://github.com/facebookresearch/pysparnn,BSD-3-Clause,2016-03-28 20:43:42.000,2020-10-02 06:01:01.000000,2018-01-31 16:50:23,147.0,,146.0,39.0,7.0,19.0,14.0,919.0,Approximate Nearest Neighbor Search for Sparse Data in Python!.,5.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +913,moolib,facebookresearch/moolib,distributed-ml,,https://github.com/facebookresearch/moolib,https://github.com/facebookresearch/moolib,MIT,2021-08-26 09:15:58.000,2022-12-12 15:07:44.000000,2022-12-12 15:07:38,41.0,,21.0,12.0,41.0,7.0,12.0,366.0,A library for distributed ML training with PyTorch.,6.0,11,False,2022-02-10 16:56:22.000,0.0.9c,1.0,,,,,['pytorch'],5.0,5.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +914,Mozart,aashrafh/Mozart,ocr,,https://github.com/aashrafh/Mozart,https://github.com/aashrafh/Mozart,Apache-2.0,2020-12-14 11:49:14.000,2022-08-24 18:18:43.000000,2022-08-24 18:18:43,62.0,,90.0,17.0,5.0,4.0,12.0,634.0,An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.,6.0,10,False,,,,,,,,['sklearn'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +915,textlesslib,facebookresearch/textlesslib,audio,,https://github.com/facebookresearch/textlesslib,https://github.com/facebookresearch/textlesslib,MIT,2022-02-09 16:28:00.000,2023-08-29 14:47:49.000000,2023-08-29 14:47:44,37.0,,52.0,16.0,13.0,14.0,11.0,530.0,Library for Textless Spoken Language Processing.,8.0,10,False,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +916,pyrtfolio,alvarobartt/pyrtfolio,financial-data,,https://github.com/alvarobartt/pyrtfolio,https://github.com/alvarobartt/pyrtfolio,GPL-3.0,2019-10-06 20:22:12.000,2022-05-14 21:32:20.000000,2020-11-20 09:58:41,19.0,,25.0,7.0,2.0,2.0,6.0,149.0,Python package to generate stock portfolios.,4.0,10,False,2020-03-13 20:04:08.000,0.2,3.0,pyrtfolio,,,,,2.0,2.0,https://pypi.org/project/pyrtfolio,2020-03-13 20:31:47.000,,24.0,24.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +917,Hypertunity,gdikov/hypertunity,hyperopt,,https://github.com/gdikov/hypertunity,https://github.com/gdikov/hypertunity,Apache-2.0,2019-06-02 12:04:55.000,2020-01-26 23:14:49.000000,2020-01-26 22:53:29,64.0,,10.0,9.0,44.0,,2.0,136.0,A toolset for black-box hyperparameter optimisation.,2.0,10,False,2020-01-26 23:08:16.000,1.0.1,7.0,hypertunity,,,,,4.0,4.0,https://pypi.org/project/hypertunity,2020-01-26 23:08:16.000,,117.0,117.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +918,traintool,jrieke/traintool,ml-experiments,,https://github.com/jrieke/traintool,https://github.com/jrieke/traintool,Apache-2.0,2020-09-30 22:23:05.000,2021-03-12 01:44:04.000000,2021-03-12 01:43:14,122.0,,1.0,4.0,,,,12.0,Train off-the-shelf machine learning models in one line of code.,,9,False,2020-11-02 02:25:32.000,0.0.3,3.0,traintool,,,,"['pytorch', 'tensorflow', 'sklearn']",2.0,2.0,https://pypi.org/project/traintool,2020-11-02 02:25:32.000,,99.0,99.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +919,tslumen,hsbc/tslumen,time-series-data,,https://github.com/hsbc/tslumen,https://github.com/hsbc/tslumen,Apache-2.0,2022-11-09 14:06:09.000,2024-08-11 23:52:21.000000,2022-11-22 16:44:39,2.0,,8.0,8.0,2.0,1.0,,68.0,A library for Time Series EDA (exploratory data analysis).,2.0,8,False,2022-11-22 17:50:34.944,0.0.1,1.0,tslumen,conda-forge/tslumen,,,,1.0,,https://pypi.org/project/tslumen,2022-11-22 17:50:34.944,1.0,52.0,52.0,https://anaconda.org/conda-forge/tslumen,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, diff --git a/latest-changes.md b/latest-changes.md index a10d10a..2655c74 100644 --- a/latest-changes.md +++ b/latest-changes.md @@ -2,29 +2,29 @@ _Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._ -- PyTorch Geometric (πŸ₯‡41 Β· ⭐ 22K Β· πŸ“ˆ) - Graph Neural Network Library for PyTorch. MIT -- accelerate (πŸ₯‡41 Β· ⭐ 8.1K Β· πŸ“ˆ) - A simple way to launch, train, and use PyTorch models.. Apache-2 -- jieba (πŸ₯‡37 Β· ⭐ 34K Β· πŸ’€) - Chinese Words Segmentation Utilities. MIT -- opencv-python (πŸ₯ˆ36 Β· ⭐ 4.6K Β· πŸ“ˆ) - Automated CI toolchain to produce precompiled opencv-python,.. MIT -- plotnine (πŸ₯ˆ36 Β· ⭐ 4.1K Β· πŸ“ˆ) - A Grammar of Graphics for Python. MIT -- tensorboardX (πŸ₯ˆ34 Β· ⭐ 7.9K Β· πŸ“ˆ) - tensorboard for pytorch (and chainer, mxnet, numpy, ...). MIT -- jellyfish (πŸ₯ˆ34 Β· ⭐ 2.1K Β· πŸ“ˆ) - a python library for doing approximate and phonetic matching of.. MIT -- tensorpack (πŸ₯‰33 Β· ⭐ 6.3K Β· πŸ’€) - A Neural Net Training Interface on TensorFlow, with.. Apache-2 -- Tesseract (πŸ₯ˆ33 Β· ⭐ 5.9K Β· πŸ“ˆ) - Python-tesseract is an optical character recognition (OCR).. Apache-2 -- USearch (πŸ₯ˆ32 Β· ⭐ 2.4K Β· πŸ“ˆ) - Fast Open-Source Search & Clustering engine for Vectors &.. Apache-2 +- Matplotlib (πŸ₯‡49 Β· ⭐ 21K Β· πŸ“ˆ) - matplotlib: plotting with Python. ❗Unlicensed +- pydeck (πŸ₯‡43 Β· ⭐ 12K Β· πŸ“ˆ) - WebGL2 powered visualization framework. MIT +- TensorFlow Datasets (πŸ₯‡39 Β· ⭐ 4.3K Β· πŸ“ˆ) - TFDS is a collection of datasets ready to use with.. Apache-2 +- Nilearn (πŸ₯‡39 Β· ⭐ 1.2K Β· πŸ“ˆ) - Machine learning for NeuroImaging in Python. BSD-3 +- ChatterBot (πŸ₯ˆ36 Β· ⭐ 14K Β· πŸ“ˆ) - ChatterBot is a machine learning, conversational dialog engine.. BSD-3 +- snowballstemmer (πŸ₯ˆ31 Β· ⭐ 770 Β· πŸ“ˆ) - Snowball compiler and stemming algorithms. BSD-3 +- Essentia (πŸ₯‰29 Β· ⭐ 2.9K Β· πŸ“ˆ) - C++ library for audio and music analysis, description and.. ❗️AGPL-3.0 +- livelossplot (πŸ₯‰28 Β· ⭐ 1.3K Β· πŸ“ˆ) - Live training loss plot in Jupyter Notebook for Keras,.. MIT +- knockknock (πŸ₯‰27 Β· ⭐ 2.8K Β· πŸ’€) - Knock Knock: Get notified when your training ends with only two.. MIT +- Saliency (πŸ₯‰22 Β· ⭐ 960 Β· πŸ’€) - Framework-agnostic implementation for state-of-the-art.. Apache-2 ## πŸ“‰ Trending Down _Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._ -- spaCy (πŸ₯‡44 Β· ⭐ 31K Β· πŸ“‰) - Industrial-strength Natural Language Processing (NLP) in Python. MIT -- LightGBM (πŸ₯ˆ42 Β· ⭐ 17K Β· πŸ“‰) - A fast, distributed, high performance gradient boosting (GBT, GBDT,.. MIT -- Catboost (πŸ₯ˆ41 Β· ⭐ 8.2K Β· πŸ“‰) - A fast, scalable, high performance Gradient Boosting on.. Apache-2 -- OpenAI Gym (πŸ₯‡39 Β· ⭐ 35K Β· πŸ’€) - A toolkit for developing and comparing reinforcement learning.. MIT -- dgl (πŸ₯‡35 Β· ⭐ 14K Β· πŸ“‰) - Python package built to ease deep learning on graph, on top of.. Apache-2 -- Prophet (πŸ₯‡32 Β· ⭐ 19K Β· πŸ“‰) - Tool for producing high quality forecasts for time series data that.. MIT -- kaggle (πŸ₯ˆ31 Β· ⭐ 6.4K Β· πŸ“‰) - Official Kaggle API. Apache-2 -- Essentia (πŸ₯‰27 Β· ⭐ 2.9K Β· πŸ“‰) - C++ library for audio and music analysis, description and.. ❗️AGPL-3.0 -- ivis (πŸ₯‰19 Β· ⭐ 330 Β· πŸ“‰) - Dimensionality reduction in very large datasets using Siamese.. Apache-2 -- Saliency (πŸ₯‰18 Β· ⭐ 960 Β· πŸ’€) - Framework-agnostic implementation for state-of-the-art.. Apache-2 +- XGBoost (πŸ₯‡45 Β· ⭐ 26K Β· πŸ“‰) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT.. Apache-2 +- spaCy (πŸ₯‡43 Β· ⭐ 31K Β· πŸ“‰) - Industrial-strength Natural Language Processing (NLP) in Python. MIT +- Tensorboard (πŸ₯‡42 Β· ⭐ 6.8K Β· πŸ“‰) - TensorFlows Visualization Toolkit. Apache-2 +- SageMaker SDK (πŸ₯ˆ40 Β· ⭐ 2.1K Β· πŸ“‰) - A library for training and deploying machine learning.. Apache-2 +- PyTorch Geometric (πŸ₯‡39 Β· ⭐ 22K Β· πŸ“‰) - Graph Neural Network Library for PyTorch. MIT +- Kornia (πŸ₯ˆ37 Β· ⭐ 10K Β· πŸ“‰) - Geometric Computer Vision Library for Spatial AI. Apache-2 +- imageio (πŸ₯ˆ37 Β· ⭐ 1.5K Β· πŸ“‰) - Python library for reading and writing image data. BSD-2 +- PennyLane (πŸ₯‡36 Β· ⭐ 2.4K Β· πŸ“‰) - PennyLane is a cross-platform Python library for quantum.. Apache-2 +- PySyft (πŸ₯‡34 Β· ⭐ 9.6K Β· πŸ“‰) - Perform data science on data that remains in someone elses.. Apache-2 +- shapash (πŸ₯ˆ29 Β· ⭐ 2.8K Β· πŸ“‰) - Shapash: User-friendly Explainability and Interpretability.. Apache-2