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Lp-nested priors for learning disentangled representations with variational autoencoders

License: Other

Python 100.00%

isa-vae's Introduction

Independent Subspace Analysis for Unsupervised Learning of Disentangled Representations

This repository contains the code for reproducing the quantitative experiments in our publication "Independent Subspace Analysis for Unsupervised Learning of Disentangled Representations"

Usage

Help about the command line options is provided by the '-h' flag.

Datasets

dSprites

The dSprites dataset can be downloaded from here.

3D faces

We can't distribute this dataset due to the license.

Contact

Email [email protected] if you have questions about the code/data.

Privacy & Cookies

Please refer to the Microsoft Privacy Statement.

isa-vae's People

Contributors

microsoftopensource avatar msftgits avatar

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