PyTorch implementations of Generative Adversarial Networks.

Keras implementations of Generative Adversarial Networks.

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

Code and hyperparameters for the paper "Generative Adversarial Networks"

Interactive Image Generation via Generative Adversarial Networks

A list of papers on Generative Adversarial (Neural) Networks

Deep Convolutional Generative Adversarial Networks

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

Image Deblurring using Generative Adversarial Networks

Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)

HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis

A very simple generative adversarial network (GAN) in PyTorch

GAN Lab: An Interactive, Visual Experimentation Tool for Generative Adversarial Networks

WaveGAN: Learn to synthesize raw audio with generative adversarial networks

A simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing.

Implementation A Style-Based Generator Architecture for Generative Adversarial Networks in PyTorch

PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

Codebase for Time-series Generative Adversarial Networks (TimeGAN) - NeurIPS 2019

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

Keras implementation of Deep Convolutional Generative Adversarial Networks

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

TextGAN is a PyTorch framework for Generative Adversarial Networks (GANs) based text generation models.

Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018

Keras Generative Adversarial Networks

Generative Adversarial Networks (GANs) resources sorted by citations

Generative Adversarial Networks implemented in PyTorch and Tensorflow

Generative adversarial networks integrating modules from FUNIT and SPADE for face-swapping.

Official implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

Awesome Generative Adversarial Networks with tensorflow

Recurrent (conditional) generative adversarial networks for generating real-valued time series data.