Voxel-Based Variational Autoencoders, VAE GUI, and Convnets for Classification

Code for the paper "Improving Variational Auto-Encoders using Householder Flow" (https://arxiv.org/abs/1611.09630)

A Keras/TensorFlow-based implementation of Adversarial Variational Bayes by L. Mescheder et al.

A PyTorch implementation of alpha-GAN

PyTorch Implementations of Generative models

This repository tries to provide unsupervised deep learning models with Pytorch

A tensorflow implementation of "Generating Sentences from a Continuous Space"

TensorFlow implementation of Auto-Encoding Variational Bayes.

This is the implementation of variational autoencoders (VAE) written in Python 3.6 with Keras.

Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling

A variational autoencoder model trained on the MNIST dataset using Tensorflow's Eager Execution

Implementation of different approaches to train Discrete Variational Autoencoders

Variational Autoencoding for Radio Galaxies

implement Deep Feature Consisten Variational Autoencoder in Tensorflow

(beta-)VAE Tensorflow

A Tensorflow-layer API Implementation of Deep Generative Models (MNIST Examples)

Generator loss to reduce mode-collapse and to improve the generated samples quality.

Variational autoencoders implemented in Tensorflow.

Every Variational Autoencoder that I have encountered in Keras