PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

Official Implementation of the paper "A U-Net Based Discriminator for Generative Adversarial Networks" (CVPR 2020)

starter from "How to Train a GAN?" at NIPS2016

Unsupervised Image-to-Image Translation

Image-to-Image Translation in PyTorch

A Variational Autoencoder (VAE) implemented in PyTorch

Generation of 128x128 bird images using VAE-GAN with additional feature matching loss

We apply Beta-VAE Model to address scene detection problem and explore quantization methods to improve performance.

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

VAE for color images

Implementation of a Conditional Variational Auto-Encoder GAN in pytorch

A Collection of Variational Autoencoders (VAE) in PyTorch.

For beginner, this will be the best start for VAEs, GANs, and CVAE-GAN. This contains AE, DAE, VAE, GAN, CGAN, DCGAN, WGAN, WGAN-GP, VAE-GAN, CVAE-GAN. All use PyTorch.

PyTorch implementations of Generative Adversarial Networks.

Learning deep representations by mutual information estimation and maximization