An implementation of VAEGAN (variational autoencoder + generative adversarial network).
-
Updated
Mar 9, 2017 - Python
An implementation of VAEGAN (variational autoencoder + generative adversarial network).
PyTorch implementation of "Auto-Encoding Variational Bayes"
Tensorflow implementation of variational auto-encoder for MNIST
Tensorflow implementation of conditional variational auto-encoder for MNIST
Rannnnnnnnndoooooooommmmm Code
Variational Auto Encoder
Playing around with generative models trained on natural images, along with (eventually) some visualization tools.
Contiguous Recurrent Variational Autoencoder
UofU GANS
Variational autoencoder implementation in tensorflow following the classic paper by Kingma and Welling.
Fork of ROOT Repository for GSoC project
This is implementation of convolutional variational autoencoder in TensorFlow library and it will be used for video generation.
Variational Autoencoder in Pytorch
Experiments with Variational Autoencoders
Keras implementation of a Variational Auto Encoder with a Concrete Latent Distribution
A Tensorflow implementation of a Variational Autoencoder
conditional variational autoencoder written in Keras [not actively maintained]
Synthesizing sequence of images by learning latent dynamics and VAE
A WebDNN implementation of a variational autoencoder trained on the shoe sector of Fashion-MNIST
Add a description, image, and links to the variational-autoencoder topic page so that developers can more easily learn about it.
To associate your repository with the variational-autoencoder topic, visit your repo's landing page and select "manage topics."