29 Open source projects that are alternatives of or similar to Wgan Gp

でぃーぷらーにんぐを無限にやってディープラーニングでDeepLearningするための実装CheatSheet

Awesome Generative Adversarial Networks with tensorflow

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

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

Chainer implementation of recent GAN variants

Collection of generative models in Tensorflow

DCGAN LSGAN WGAN-GP DRAGAN Tensorflow 2

Improved WGAN in Pytorch

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".

Pytorch implementation of Wasserstein GANs with Gradient Penalty

Generative Deep Learning Sessions led by Anugraha Sinha (Machine Learning Tokyo)

Improved Wasserstein GAN (WGAN-GP) application on medical (MRI) images

GitHub repo for my Tensorflow World hackathon submission

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

Tensorflow Implementation of Paper "Improved Training of Wasserstein GANs"

Repository for implementation of generative models with Tensorflow 1.x

Pure tensorflow implementation of progressive growing of GANs

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

Keras model and tensorflow optimization of 'improved Training of Wasserstein GANs'

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

Playing with MNIST. Machine Learning. Generative Models.

Simple Implementation of many GAN models with PyTorch.

Collection of generative models in Pytorch version.

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

DCGAN LSGAN WGAN-GP DRAGAN PyTorch

PyTorch implementation of DCGAN, WGAN-GP and SNGAN.

Machine learning, in numpy

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

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