Skip to content

Pytorch implementation of Deep Variational Information Bottleneck

Notifications You must be signed in to change notification settings

1Konny/VIB-pytorch

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

29 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Deep Variational Information Bottleneck


Overview

Pytorch implementation of Deep Variational Information Bottleneck(paper, original code)

ELBO monte_carlo

Dependencies

python 3.6.4
pytorch 0.3.1.post2
tensorboardX(optional)
tensorflow(optional)

Usage

  1. train
python main.py --mode train --beta 1e-3 --tensorboard True --env_name [NAME]
  1. test
python main.py --mode test --env_name [NAME] --load_ckpt best_acc.tar

References

  1. Deep Learning and the Information Bottleneck Principle, Tishby et al.
  2. Deep Variational Information Bottleneck, Alemi et al.
  3. Tensorflow Demo : https://github.com/alexalemi/vib_demo

Releases

No releases published

Packages

No packages published

Languages