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https://github.com/Schlumberger/joint-vae

Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation :star2:
https://github.com/Schlumberger/joint-vae

disentangled-representations disentanglement generative-models gumbel-softmax pytorch vae

Last synced: 3 months ago
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Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation :star2:

Host: GitHub
URL: https://github.com/Schlumberger/joint-vae
Owner: Schlumberger
License: mit
Created: 2018-05-08T01:48:14.000Z (almost 7 years ago)
Default Branch: master
Last Pushed: 2019-04-02T01:46:48.000Z (almost 6 years ago)
Last Synced: 2024-08-04T00:13:12.244Z (6 months ago)
Topics: disentangled-representations, disentanglement, generative-models, gumbel-softmax, pytorch, vae
Language: Jupyter Notebook
Homepage:
Size: 34.5 MB
Stars: 458
Watchers: 20
Forks: 62
Open Issues: 1