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Implementation of the reweighted wake-sleep machine learning algorithm

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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

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Implementation of the reweighted wake-sleep machine learning algorithm

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