Skip to content

Code for the Hamiltonian Variational Auto-Encoder from the proceedings of NeurIPS 2018

License

Notifications You must be signed in to change notification settings

anthonycaterini/hvae-nips

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

6 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

hvae-nips

This Code to reproduce the experiments in the Hamiltonian Variational Auto-Encoder (HVAE) paper (available here).

This paper appeared in the proceedings of the 2018 conference on Neural Information Processing Systems (NeurIPS).

Structure

The code is structured into two separate directories:

  1. gaussian for the Gaussian example
  2. mnist for the MNIST example

Requirements

All tests work with Python 3.5.x and 3.6.x (Python 2 functionality not guaranteed). The tests use tensorflow, and have been tested with versions 1.3 and 1.8. Other main requirements include numpy, matplotlib, and scipy.

About

Code for the Hamiltonian Variational Auto-Encoder from the proceedings of NeurIPS 2018

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published