Collection of generative models in Tensorflow

Collection of generative models in Pytorch version.

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

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

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

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.

Tensorflow implementation of different GANs and their comparisions

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

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

Playing with MNIST. Machine Learning. Generative Models.

Implementation of BEGAN in Pytorch and other interpolation experiments

Pytorch implementations of GANs

Pytorch implementation of BEGAN(arxiv:1703.10717)

Collection of generative models in 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

Replicated Results of Generative Adversarial Networks Papers

PyTorch implementations of Generative Adversarial Network series