Fast and Easy Infinite Neural Networks in Python

PyTorch, TensorFlow, JAX and NumPy — all of them natively using the same code

Training PyTorch models with differential privacy

End-to-End Speech Processing Toolkit

A Pytree Module system for Deep Learning in JAX

The PyTorch-based audio source separation toolkit for researchers

A set of tools to rank molecular pairs by their similarity to components of co-crystal reported in the CSD.

PFRL: a PyTorch-based deep reinforcement learning library

Motion imitation with deep reinforcement learning.

Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.

Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)

Rust bindings for the C++ api of PyTorch.

NBoost is a scalable, search-api-boosting platform for deploying transformer models to improve the relevance of search results on different platforms (i.e. Elasticsearch)

Hunt down social media accounts by username across social networks

pip install antialiased-cnns to improve stability and accuracy

TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199

CS224W Course Notes

Directions overlay for working with pandas in an analysis environment

OpenML's Python API for a World of Data and More 💫

Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (INFORMS Annual Meeting Session 2019)

Large-scale pretraining for dialogue

Check out the new game server:

NLTK Book

Analysis, summaries, cheatsheets about relevant papers

A list of awesome beginners-friendly projects.

Exact Combinatorial Optimization with Graph Convolutional Neural Networks (NeurIPS 2019)