There are 2 repositories under wgan topic.
Collection of generative models in Tensorflow
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
Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN
Implementations of (theoretical) generative adversarial networks and comparison without cherry-picking
Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai
Simple Implementation of many GAN models with PyTorch.
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.
A minimal implementaion (less than 150 lines of code with visualization) of DCGAN/WGAN in PyTorch with jupyter notebooks
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.
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.
A Tensorflow implementation of GAN, WGAN and WGAN with gradient penalty.
implementation of several GANs with pytorch
Tensorflow implementation of different GANs and their comparisions
Simple Pytorch implementations of most used Generative Adversarial Network (GAN) varieties.
🚀 Variants of GANs most easily implemented as TensorFlow2. GAN, DCGAN, LSGAN, WGAN, WGAN-GP, DRAGAN, ETC...
Repository for implementation of generative models with Tensorflow 1.x
DCGAN and WGAN implementation on Keras for Bird Generation
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.
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
stock prediction with GAN and WGAN
Capsule GAN: Unsupervised representation learning with CapsNet based Generative Adversarial Networks
Unofficial PyTorch implementation of "Progressive Growing of GANs for Improved Quality, Stability, and Variation".
Performance comparison of ACGAN, BEGAN, CGAN, DRAGAN, EBGAN, GAN, infoGAN, LSGAN, VAE, WGAN, WGAN_GP on cifar-10
PyTorch implemented generative models for CelebA dataset: DCGAN, LSGAN, WGAN, WGANGP, InfoGAN, BEGAN, VAE, VAEGAN
Generative Adversarial Networks with TensorFlow2, Keras and Python (Jupyter Notebooks Implementations)
Pure tensorflow implementation of progressive growing of GANs