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GitHub / oskopek / mvae

Mixed-curvature Variational Autoencoders (ICLR 2020)

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/oskopek%2Fmvae

Stars: 57
Forks: 13
Open Issues: 2

License: apache-2.0
Language: Python
Repo Size: 243 KB
Dependencies: 19

Created: about 5 years ago
Updated: about 1 year ago
Last pushed: over 3 years ago
Last synced: 10 months ago

Topics: citation, conda, curvature, deep-learning, eth-zurich, evaluation, geometry, iclr, iclr2020, machine-learning, non-euclidean-geometry, non-euclidean-spaces, papers-with-code, pytorch, thesis, vae, variational-autoencoder, variational-inference

Files
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    Readme
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    Dependencies
    environment.yml conda