Skip to content

jbornschein/reweighted-ws

Repository files navigation

image

Requirements Status

AGPLv3

Reweighted Wake-Sleep

This repository contains the implementation of the machine learning method described in http://arxiv.org/abs/1406.2751 .

Note: There is an alternative implementation based on Blocks/Theano in https://github.com/jbornschein/bihm

Installation & Requirements

This implementation in written in Python and uses Theano. To automatically install all dependencies run

pip install -r requirements.txt

In order to reproduce the experiments in the paper you need to download about 500 MB of training data:

cd data sh download.sh

About

Implementation of the reweighted wake-sleep machine learning algorithm

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published