Skip to content
/ vae Public

Variational autoencoder implementation in tensorflow following the classic paper by Kingma and Welling.

Notifications You must be signed in to change notification settings

kremerj/vae

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

18 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Yet another variational autoencoder implementation

Implementation in tensorflow which follows the paper Auto-Encoding Variational Bayes by Kingma and Welling to check whether it really works. Just run the script with

python vae.py

and it should produce an output similar to this: Example output of the variational autoencoder

About

Variational autoencoder implementation in tensorflow following the classic paper by Kingma and Welling.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages