Decision trees, random and causal forests in Rust

A comprehensive guide to building RAG-based LLM applications for production.

The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens.

Accessible large language models via k-bit quantization for PyTorch.

QLoRA: Efficient Finetuning of Quantized LLMs

Fast inference engine for Transformer models

OpenLLaMA, a permissively licensed open source reproduction of Meta AI’s LLaMA 7B trained on the RedPajama dataset

Classifier for business and individual names

pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (…

Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org

Deep Learning over PyTorch

TensorFlow CNN for fast style transfer ⚡🖥🎨🖼

Repository for "Known Unknowns: Uncertainty Quality in Bayesian Neural Networks" paper.

Classification uncertainty using Bayesian neural networks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…

Variational and semi-supervised neural network toppings for Lasagne

OverFeat-Torch7 Wrapper Library

Exploring the Space of Adversarial Images

Repository for the main Dockerfile with the OpenWorm software stack and project-wide issues

Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex.

CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained …