AntixK / PyTorch-VAE

A Collection of Variational Autoencoders (VAE) in PyTorch.

Date Created 2020-01-10 (5 years ago)

Commits 72 (last one 3 years ago)

Stargazers 6,940 (13 this week)

Watchers 43 (0 this week)

Forks 1,102

License apache-2.0

Ranking

RepositoryStats indexes 622,366 repositories, of these AntixK/PyTorch-VAE is ranked #6,607 (99th percentile) for total stargazers, and #49,924 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #1,025/126,222.

AntixK/PyTorch-VAE is also tagged with popular topics, for these it's ranked: deep-learning (#242/8741), pytorch (#135/6166), architecture (#32/626)

Other Information

AntixK/PyTorch-VAE has 6 open pull requests on Github, 2 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 60 open issues and 29 closed issues.

All Topics

vae wae iwae vqvae dfc-vae pytorch beta-vae pytorch-vae architecture deep-learning celeba-dataset gumbel-softmax vae-implementation paper-implementations reproducible-research pytorch-implementation variational-autoencoders

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The only known language in this repository is Python

updated: 2025-03-02 @ 10:14pm, id: 233044521 / R_kgDODeP6KQ