Popular GitHub Repositories for Wgan 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.

a tensorflow implementation of WGAN

Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai

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

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

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

implementation of several GANs with pytorch