PyTorch implementations of Generative Adversarial Networks.

🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

Keras implementations of Generative Adversarial Networks.

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

Code and hyperparameters for the paper "Generative Adversarial Networks"

Interactive Image Generation via Generative Adversarial Networks

Collection of generative models in Tensorflow

Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

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.

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

SC-FEGAN : Face Editing Generative Adversarial Network with User's Sketch and Color (ICCV2019)

Learning Chinese Character style with conditional GAN

Image Deblurring using Generative Adversarial Networks

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

A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN. Technique was originally created by https://twitter.com/advadnoun

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

Software and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks

A very simple generative adversarial network (GAN) in PyTorch

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

Deep Learning in Haskell

Research Framework for easy and efficient training of GANs based on Pytorch

WaveGAN: Learn to synthesize raw audio with generative adversarial networks

Generative Adversarial Transformers

DeepPrivacy: A Generative Adversarial Network for Face Anonymization

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

A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

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