oskopek / mvae

Mixed-curvature Variational Autoencoders (ICLR 2020)

Date Created 2019-05-20 (5 years ago)

Commits 12 (last one 4 years ago)

Stargazers 61 (0 this week)

Watchers 3 (0 this week)

Forks 13

License apache-2.0

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RepositoryStats indexes 633,155 repositories, of these oskopek/mvae is ranked #430,206 (32nd percentile) for total stargazers, and #418,158 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #83,578/129,369.

oskopek/mvae is also tagged with popular topics, for these it's ranked: deep-learning (#6,640/8816), machine-learning (#6,323/8408), pytorch (#4,693/6220)

Other Information

oskopek/mvae has Github issues enabled, there are 2 open issues and 6 closed issues.

Homepage URL: https://openreview.net/forum?id=S1g6xeSKDS

All Topics

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

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updated: 2025-03-07 @ 03:08am, id: 187709785 / R_kgDOCzA5WQ