Generative image model with learned similarity measures

Adversarial Variational Auto-Encoders (AVAEs) in Theano

Tensorflow implementation of VAE and GAN for MNIST

A implement of GAN-collection for tensorflow version

Tensorflow code of "autoencoding beyond pixels using a learned similarity metric"

dcgan combined with vae in pytorch!

A tensorflow implementation of VAE-GAN. This is the first approach which viewed the discriminator as a loss function to improve.

Hybrid Architecture Network, originally VAE+CPPN+GAN by hardmaru

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

The Pytorch implementation of the NIPS 2018 paper

Repository of all notebooks used in the GANs and VAEs event.

Stochastic Adversarial Video Prediction

Variational Autoencoder-Generative Adversarial Network (VAE-GAN) to hide data inside images

Implementation of https://arxiv.org/pdf/1805.12352.pdf (ICLR 2019)

deep learning

Simple Tensorflow implementation of the paper Autoencoding Beyond Pixels Using a Similarity Metric

Towards Generative Modeling from (variational) Autoencoder to DCGAN

Comparison of DCGAN, CapsuleGAN and Variational Autoencoder for Image Generation

work in-progress