Lp-nested priors for learning disentangled representations with variational autoencoders
License: Other
This repository contains the code for reproducing the quantitative experiments in our publication "Independent Subspace Analysis for Unsupervised Learning of Disentangled Representations"
Help about the command line options is provided by the '-h' flag.
The dSprites dataset can be downloaded from here.
We can't distribute this dataset due to the license.
Email [email protected] if you have questions about the code/data.
Please refer to the Microsoft Privacy Statement.
isa-vae/lpnested-vae/vae_quant.py
Line 20 in 55e8f89
Hi!
I noticed that the lib package is not included in the source code.
Is there any chance you could add it to the source?
Cheers
Alex
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