zhaokaihuang

awesome-rl

Reinforcement learning resources curated

gym

A toolkit for developing and comparing reinforcement learning algorithms.

fast-style-transfer

Fast Style Transfer in TensorFlow! ⚡🖥🎨🖼

got-book-6

LSTM trained on the first five ASOIAF/GOT books

kaggle-2014-criteo

amazon-dsstne

Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models

PhotographicImageSynthesis

Photographic Image Synthesis with Cascaded Refinement Networks

weui

A UI library by WeChat official design team, includes the most useful widgets/modules in mobile web applications.

pix2pix

Image-to-image translation with conditional adversarial nets

pylearn2

Warning: This project does not have any current developer. See bellow.

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

pix2pix-tensorflow

Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/

ganhacks

starter from "How to Train a GAN?" at NIPS2016

srez

Image super-resolution through deep learning

CycleGAN

Tensorflow implementation of CycleGAN

pytorch-CycleGAN-and-pix2pix

Image-to-Image Translation in PyTorch

neuraltalk2

Efficient Image Captioning code in Torch, runs on GPU

SRGAN

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

Super-Resolution-using-Generative-Adversarial-Networks

An implementation of SRGAN model in Keras

sugartensor

A slim tensorflow wrapper that provides syntactic sugar for tensor variables. This library will be helpful for practical deep learning researchers not beginners.

SRGAN

A tensorflow implemenation of Christian et al's SRGAN(super-resolution generative adversarial network)

imitation

Code for the paper "Generative Adversarial Imitation Learning"

SeqGAN

Implementation of Sequence Generative Adversarial Nets with Policy Gradient

Neural-Dialogue-Generation

gan

some demo of GANs

rl-course-experiments

ConvolutionalAutoEncoder

A very simple convolutional autoencoder implemented in lasagne, applied to MNIST as an example

Conditional-GAN

Tensorflow implementation for Conditional Convolutional Adversarial Networks.

BEGAN-tensorflow

Tensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"

resnet

Deep Residual Learning for Image Recognition, http://arxiv.org/abs/1512.03385