Top 33 wgan open source projects

Rnn.wgan
Code for training and evaluation of the model from "Language Generation with Recurrent Generative Adversarial Networks without Pre-training"
Gan Tutorial
Simple Implementation of many GAN models with PyTorch.
Dcgan wgan wgan Gp lsgan sngan rsgan began acgan pggan tensorflow
Implementation of some different variants of GANs by tensorflow, Train the GAN in Google Cloud Colab, DCGAN, WGAN, WGAN-GP, LSGAN, SNGAN, RSGAN, RaSGAN, BEGAN, ACGAN, PGGAN, pix2pix, BigGAN
Gan theories
Resources and Implementations of Generative Adversarial Nets which are focusing on how to stabilize training process and generate high quality images: DCGAN, WGAN, EBGAN, BEGAN, etc.
Pytorch Gan
A minimal implementaion (less than 150 lines of code with visualization) of DCGAN/WGAN in PyTorch with jupyter notebooks
Generative adversarial networks 101
Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.
Tf Exercise Gan
Tensorflow implementation of different GANs and their comparisions
Ganotebooks
wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch
Wasserstein Gan
Chainer implementation of Wasserstein GAN
Unified Gan Tensorflow
A Tensorflow implementation of GAN, WGAN and WGAN with gradient penalty.
Anime gan
GAN models with Anime.
Deeplearningmugenknock
でぃーぷらーにんぐを無限にやってディープラーニングでDeepLearningするための実装CheatSheet
Tf.gans Comparison
Implementations of (theoretical) generative adversarial networks and comparison without cherry-picking
Generative Models
Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN
chainer-wasserstein-gan
Chainer implementation of the Wesserstein GAN
minimal wgan
A minimal implementation of Wasserstein GAN
generative deep learning
Generative Deep Learning Sessions led by Anugraha Sinha (Machine Learning Tokyo)
GAN-Anime-Characters
Applied several Generative Adversarial Networks (GAN) techniques such as: DCGAN, WGAN and StyleGAN to generate Anime Faces and Handwritten Digits.
WGAN-GP-tensorflow
Tensorflow Implementation of Paper "Improved Training of Wasserstein GANs"
progressive-growing-of-gans.pytorch
Unofficial PyTorch implementation of "Progressive Growing of GANs for Improved Quality, Stability, and Variation".
Pytorch-Basic-GANs
Simple Pytorch implementations of most used Generative Adversarial Network (GAN) varieties.
gan
Generate new images with Generative Adversarial Network and Tensorflow.
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