eracah's Stars
tensorflow/tensorflow
An Open Source Machine Learning Framework for Everyone
janishar/mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
jason718/awesome-self-supervised-learning
A curated list of awesome self-supervised methods
tkarras/progressive_growing_of_gans
Progressive Growing of GANs for Improved Quality, Stability, and Variation
open-mmlab/mmdetection3d
OpenMMLab's next-generation platform for general 3D object detection.
JerryLead/SparkInternals
Notes talking about the design and implementation of Apache Spark
mosaicml/composer
Supercharge Your Model Training
facebookresearch/moco
PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722
tristandeleu/pytorch-meta
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
pytorch/tnt
A lightweight library for PyTorch training tools and utilities
mosaicml/streaming
A Data Streaming Library for Efficient Neural Network Training
mosaicml/diffusion
ctallec/world-models
Reimplementation of World-Models (Ha and Schmidhuber 2018) in pytorch
mila-iqia/myia
Myia prototyping
Epistimio/orion
Asynchronous Distributed Hyperparameter Optimization.
inferno-pytorch/inferno
A utility library around PyTorch
mila-iqia/atari-representation-learning
Code for "Unsupervised State Representation Learning in Atari"
valiantljk/h5spark
Supporting Hierarchical Data Format and Rich Parallel I/O Interface in Spark
shiwangi27/deep_learning_cosmology
Deep Learning on Cosmology Maps
NERSC/dayabay-learn
Learning to Extract Features from the Daya Bay Reactor Neutrino Experiment
nithin127/nest-vae
PGM projects
joaquincorrea/Spearmint
Spearmint Bayesian optimization codebase
michelwandermaas/tf_distri_cori