Popular GitHub Repositories for Wgan Gp

Collection of generative models in Pytorch version.

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

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

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

implementation of several GANs with pytorch

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

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

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

Improved training of Wasserstein GANs

TensorFlow implementations of Wasserstein GAN with Gradient Penalty (WGAN-GP), Least Squares GAN (LSGAN), GANs with the hinge loss.

Generative Adversarial Networks with TensorFlow2, Keras and Python (Jupyter Notebooks Implementations)

speech enhancement GAN on waveform/log-power-spectrum data using Improved WGAN

Implementation of "Over-the-Air Design of GAN Training for mmWave MIMO Channel Estimation"

Pure tensorflow implementation of progressive growing of GANs

[CVPR 2021: Oral] In this work, we show that high frequency Fourier spectrum decay discrepancies are not inherent characteristics for existing CNN-based generative models.