wgan

znxlwm/pytorch-generative-model-collections

Collection of generative models in Pytorch version.

tjwei/GANotebooks

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

kozistr/Awesome-GANs

Awesome Generative Adversarial Networks with tensorflow

shayneobrien/generative-models

Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

khanrc/tf.gans-comparison

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

amanchadha/coursera-gan-specialization

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

LynnHo/DCGAN-LSGAN-WGAN-GP-DRAGAN-Tensorflow-2

Reimplementation of GANs

Yangyangii/GAN-Tutorial

Simple Implementation of many GAN models with PyTorch.

amirbar/rnn.wgan

Code for training and evaluation of the model from "Language Generation with Recurrent Generative Adversarial Networks without Pre-training"

MingtaoGuo/DCGAN_WGAN_WGAN-GP_LSGAN_SNGAN_RSGAN_BEGAN_ACGAN_PGGAN_TensorFlow

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

mafda/generative_adversarial_networks_101

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

chenyuntc/pytorch-GAN

A minimal implementaion (less than 150 lines of code with visualization) of DCGAN/WGAN in PyTorch with jupyter notebooks

yfeng95/GAN_Theories

Resources and Implementations of Generative Adversarial Nets which are focusing on how to stabilize training process and generate high quality images: DCGAN, WGAN, EBGAN, BEGAN, etc.

krishk97/ECE-C247-EEG-GAN

GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, datasets 2a. Final project for UCLA's EE C247: Neural Networks and Deep Learning course.

LixiangHan/GANs-for-1D-Signal

implementation of several GANs with pytorch

lilianweng/unified-gan-tensorflow

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

sanghoon/tf-exercise-gan

Tensorflow implementation of different GANs and their comparisions

wangguanan/Pytorch-Basic-GANs

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

marload/GANs-TensorFlow2

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

musyoku/wasserstein-gan

Chainer implementation of Wasserstein GAN

ChickenBenny/Stock-prediction-with-GAN-and-WGAN

stock prediction with GAN and WGAN

Kyushik/Generative-Model

Repository for implementation of generative models with Tensorflow 1.x

Tejas-Nanaware/GAN-Anime-Characters

Creating Anime Faces using Generative Adversarial Networks (GAN) techniques such as: DCGAN, WGAN, StyleGAN, StyleGAN2 and StyleGAN3. Top repos on GitHub for AnimeFace GAN Generative AI Models

1Konny/WAE-pytorch

CasperHogenboom/WGAN_financial_time-series

Thesis project done on Generation Financial Time-Series with GANs. The project was a collaboration between Wholesale Banking Advanced Analytics team with ING and University Maastricht.

tensorfreitas/DCGAN-for-Bird-Generation

DCGAN and WGAN implementation on Keras for Bird Generation

FangYang970206/Anime_GAN

GAN models with Anime.

raeidsaqur/CapsGAN

Capsule GAN: Unsupervised representation learning with CapsNet based Generative Adversarial Networks

luzhixing12345/Anime-WGAN

pytorch implementation of WGAN to generate anime avatar

RahulBhalley/progressive-growing-of-gans.pytorch

ProGAN with Standard, WGAN, WGAN-GP, LSGAN, BEGAN, DRAGAN, Conditional GAN, InfoGAN, and Auxiliary Classifier GAN training methods

adler-j/minimal_wgan

A minimal implementation of Wasserstein GAN

kartikgill/TF2-Keras-GAN-Notebooks

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

AliceAria/Performance-comparison-of-GAN-on-cifar-10

Performance comparison of ACGAN, BEGAN, CGAN, DRAGAN, EBGAN, GAN, infoGAN, LSGAN, VAE, WGAN, WGAN_GP on cifar-10

msurtsukov/generative-models-collection

PyTorch implemented generative models for CelebA dataset: DCGAN, LSGAN, WGAN, WGANGP, InfoGAN, BEGAN, VAE, VAEGAN

preritj/progressive_growing_of_GANs

Pure tensorflow implementation of progressive growing of GANs