Machine learning, in numpy

Collection of generative models in Tensorflow

Collection of generative models in Pytorch version.

A pytorch implementation of Paper "Improved Training of Wasserstein GANs"

Awesome Generative Adversarial Networks with tensorflow

[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.

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

Improved WGAN in Pytorch

Reimplementation of GANs

Chainer implementation of recent GAN variants

Pytorch implementation of Wasserstein GANs with Gradient Penalty

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

PyTorch implementation of DCGAN, WGAN-GP and SNGAN.

DCGAN LSGAN WGAN-GP DRAGAN PyTorch

implementation of several GANs with pytorch

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

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...

Keras implementation of "Image Inpainting via Generative Multi-column Convolutional Neural Networks" paper published at NIPS 2018

A PyTorch implementation of SRGAN specific for Anime Super Resolution based on "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network". And another PyTorch WGAN-gp implementation of SRGAN referring to "Improved Training of Wasserstein GANs".