oskopek / mvae

Mixed-curvature Variational Autoencoders (ICLR 2020)

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

Commits 12 (last one 3 years ago)

Stargazers 58 (0 this week)

Watchers 4 (0 this week)

Forks 13

License apache-2.0

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RepositoryStats indexes 565,279 repositories, of these oskopek/mvae is ranked #408,526 (28th percentile) for total stargazers, and #366,496 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #76,778/111,292.

oskopek/mvae is also tagged with popular topics, for these it's ranked: deep-learning (#6,382/8171), machine-learning (#6,070/7698), pytorch (#4,520/5822)

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: 2024-04-25 @ 09:36pm, id: 187709785 / R_kgDOCzA5WQ