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

Simple Implementation of many GAN models with PyTorch.

Pytorch implementations of GANs

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

Collection of generative models in Tensorflow

Awesome Generative Adversarial Networks with tensorflow

This repository contains code and bonus content which will be added from time to time for the books "Learning Generative Adversarial Network- GAN" and "R Data Analysis Cookbook - 2nd Edition" by Packt

PyTorch implementations of Generative Adversarial Network series

Official implementation of the paper: https://arxiv.org/abs/2108.04957

Paper implementation of Boundary Equilibrium Generative Adversarial Network in TensorFlow 2.x

BEGAN trained on CelebA dataset

Collection of generative models in Pytorch version.

A pytorch🔥🔥🔥 implementation of paper "GAN-Based Realistic Face Pose Synthesis with Continuous Latent Code", https://aaai.org/ocs/index.php/FLAIRS/FLAIRS18/paper/view/17643

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

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

Playing with MNIST. Machine Learning. Generative Models.

Replicated Results of Generative Adversarial Networks Papers

A implement of GAN-collection for tensorflow version

Pytorch implementation of BEGAN(arxiv:1703.10717)

Tensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"