Collection of generative models in Tensorflow

Collection of generative models in Pytorch version.

Awesome Generative Adversarial Networks with tensorflow

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

Reimplementation of GANs

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

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

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 several GANs with pytorch

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

Tensorflow implementation of different GANs and their comparisions

Simple Pytorch implementations of most used Generative Adversarial Network (GAN) varieties.

🚀 Variants of GANs most easily implemented as TensorFlow2. GAN, DCGAN, LSGAN, WGAN, WGAN-GP, DRAGAN, ETC...

Chainer implementation of Wasserstein GAN

Thesis project done on Generation Financial Time-Series with GANs. The project was a collaboration between Wholesale Banking Advanced Analytics team with ING and University Maastricht.

DCGAN and WGAN implementation on Keras for Bird Generation

GAN models with Anime.

Capsule GAN: Unsupervised representation learning with CapsNet based Generative Adversarial Networks

pytorch implementation of WGAN to generate anime avatar