A Data Streaming Library for Efficient Neural Network Training

OpenMMLab's next-generation platform for general 3D object detection.

Supercharge Your Model Training

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

Reimplementation of World-Models (Ha and Schmidhuber 2018) in pytorch

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

Code for "Unsupervised State Representation Learning in Atari"

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

A curated list of awesome self-supervised methods

Myia prototyping

Asynchronous Distributed Hyperparameter Optimization.

A utility library around PyTorch

A lightweight library for PyTorch training tools and utilities

PGM projects

Progressive Growing of GANs for Improved Quality, Stability, and Variation

Deep Learning on Cosmology Maps

Learning to Extract Features from the Daya Bay Reactor Neutrino Experiment

An Open Source Machine Learning Framework for Everyone

Notes talking about the design and implementation of Apache Spark

Supporting Hierarchical Data Format and Rich Parallel I/O Interface in Spark

Spearmint Bayesian optimization codebase