Popular GitHub Repositories for Wasserstein Gans

??? 60+ Implementations/tutorials of deep learning papers with side-by-side notes ?; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), ? reinforcement learning (ppo, dqn), capsnet, distillation, ... ?

Image-to-Image Translation in PyTorch

Bringing Old Photo Back to Life (CVPR 2020 oral)

A list of all named GANs!

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

Synthesizing and manipulating 2048x1024 images with conditional GANs

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

A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.

Synthetic data generation for tabular data

The author's officially unofficial PyTorch BigGAN implementation.

POT : Python Optimal Transport

EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019 https://arxiv.org/abs/1901.00212

Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

A simple interface for editing natural photos with generative neural networks.

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

Implementation of GigaGAN, new SOTA GAN out of Adobe. Culmination of nearly a decade of research into GANs

Synthetic data generators for tabular and time-series data

A very simple generative adversarial network (GAN) in PyTorch

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

Generative Adversarial Transformers