clementchadebec / benchmark_VAE

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

Date Created 2021-10-02 (3 years ago)

Commits 373 (last one 5 months ago)

Stargazers 1,848 (2 this week)

Watchers 18 (0 this week)

Forks 167

License apache-2.0

Ranking

RepositoryStats indexes 595,856 repositories, of these clementchadebec/benchmark_VAE is ranked #28,086 (95th percentile) for total stargazers, and #123,334 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #4,327/119,431.

clementchadebec/benchmark_VAE is also tagged with popular topics, for these it's ranked: pytorch (#503/6025)

Other Information

clementchadebec/benchmark_VAE has 6 open pull requests on Github, 65 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 26 open issues and 43 closed issues.

There have been 11 releases, the latest one was published on 2023-09-06 (about a year ago) with the name Pythae 0.1.2.

All Topics

vae vq-vae pytorch vae-gan beta-vae pixel-cnn comparison vae-pytorch benchmarking reproducibility normalizing-flows vae-implementation reproducible-research variational-autoencoder wasserstein-autoencoder

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100 commits on the default branch (main) since jan '22

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The only known language in this repository is Python

updated: 2024-12-20 @ 09:16am, id: 412850368 / R_kgDOGJuYwA