🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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Updated
May 15, 2024 - Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Examples for Clarifai Python SDK and Integrations. Give the repo a star ⭐
🔮 SuperDuperDB: Bring AI to your database! Build, deploy and manage any AI application directly with your existing data infrastructure, without moving your data. Including streaming inference, scalable model training and vector search.
👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search, ❓ Question Answering, ℹ️ Information Extraction, 📄 Document Intelligence, 💌 Sentiment Analysis etc.
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
SwissArmyTransformer is a flexible and powerful library to develop your own Transformer variants.
A multi-target leaf disease detection model. It can detect 7 types of leaves and 4 types of diseases.
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
Segmentation models with pretrained backbones. PyTorch.
A treasure chest for visual classification and recognition powered by PaddlePaddle
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting
Swift native on-device speech recognition with Whisper for Apple Silicon
[TNNLS] Knowledge Graphs and Pre-trained Language Models enhanced Representation Learning for Conversational Recommender Systems
Code for Where's the Point? Self-Supervised Multilingual Punctuation-Agnostic Sentence Segmentation
Experience the power of Clarifai’s AI platform with the python SDK. 🌟 Star to support our work!
Library for handling atomistic graph datasets focusing on transformer-based implementations. It provide utilities for training various models, experimenting with different pre-training tasks, and a suite of pre-trained models with huggingface integrations.
A PyTorch Computer Vision (CV) module library for building n-D networks flexibly ~
The official Python client for the Huggingface Hub.
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