min(DALL·E) is a fast, minimal port of DALL·E Mini to PyTorch

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

A collection of important graph embedding, classification and representation learning papers with implementations.

a distributed Hyperband implementation on Steroids

A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts

WaveNet vocoder

A Python toolkit used to train reinforcement learning algorithms against arcade games

Distributed Deep learning with Keras & Spark

Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Bayesian Modeling and Probabilistic Programming in Python

A fast Evolution Strategy implementation in Python

Unofficial Documentation of Robinhood Trade's Private API