Popular GitHub Repositories for Wcgan Gp

Machine learning, in numpy

Collection of generative models in Tensorflow

Collection of generative models in Pytorch version.

Gaussian processes in TensorFlow

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.

Official Chainer implementation of GP-GAN: Towards Realistic High-Resolution Image Blending (ACMMM 2019, oral)

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

Reimplementation of GANs

Chainer implementation of recent GAN variants

Simple Implementation of many GAN models with PyTorch.

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...

Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood

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

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