A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)

Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)

Program Synthesis

PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"

Variational autoencoders using Tensorflow's eager API

A-Paper-A-Week

Code for "The Reversible Residual Network: Backpropagation Without Storing Activations"

A Chainer implementation of VQ-VAE.

Tensorforce: a TensorFlow library for applied reinforcement learning

DeepMind's Tacotron-2 Tensorflow implementation

Learning to See in the Dark. CVPR 2018

SampleRNN: An Unconditional End-to-End Neural Audio Generation Model

sketch + style = paints 🎨 (TOG2018/SIGGRAPH2018ASIA)

[ICLR 2018] TensorFlow code for zero-shot visual imitation by self-supervised exploration

Pytorch implementation of pyramidnet

Recent Deep Learning papers in NLU and RL

Natural Language Processing Tasks and References

Decoupled Neural Interfaces using Synthetic Gradients for PyTorch

Progressively Growing GAN in PyTorch for Image and Sound generation

Paper list of multi-agent reinforcement learning (MARL)

a Realistic and Rich 3D Environment

Unsupervised Learning of Video Representations using LSTMs

in progress

Cleaned original source code from my NIPS publication

Security Tool to detect arp poisoning attacks

Interpretable Models for NLP using PyTorch