Collection of generative models in Tensorflow

Collection of generative models in Pytorch version.

wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch

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

Awesome Generative Adversarial Networks with tensorflow

Implementations of (theoretical) generative adversarial networks and comparison without cherry-picking

Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

DCGAN LSGAN WGAN-GP DRAGAN Tensorflow 2

Code for training and evaluation of the model from "Language Generation with Recurrent Generative Adversarial Networks without Pre-training"

Simple Implementation of many GAN models with PyTorch.

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.

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

A minimal implementaion (less than 150 lines of code with visualization) of DCGAN/WGAN in PyTorch with jupyter notebooks

Tensorflow implementation of different GANs and their comparisions

Chainer implementation of Wasserstein GAN

Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.

A Tensorflow implementation of GAN, WGAN and WGAN with gradient penalty.

DCGAN and WGAN implementation on Keras for Bird Generation

GAN models with Anime.

Repository for implementation of generative models with Tensorflow 1.x

A minimal implementation of Wasserstein GAN

Unsupervised representation learning with CapsNet based Generative Adversarial Networks

Source code for "Progressive Growing of GANs for Improved Quality, Stability, and Variation".

Pure tensorflow implementation of progressive growing of GANs

Tensorflow Implementation of Paper "Improved Training of Wasserstein GANs"

GANs Implementations in Keras

Performance comparison of ACGAN, BEGAN, CGAN, DRAGAN, EBGAN, GAN, infoGAN, LSGAN, VAE, WGAN, WGAN_GP on cifar-10

Chainer implementation of the Wesserstein GAN

mxnet implement for Conditional Wasserstein GAN