jaanli / variational-autoencoder

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

Date Created 2016-08-15 (8 years ago)

Commits 59 (last one 7 months ago)

Stargazers 1,154 (1 this week)

Watchers 33 (0 this week)

Forks 256

License mit

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RepositoryStats indexes 584,353 repositories, of these jaanli/variational-autoencoder is ranked #44,631 (92nd percentile) for total stargazers, and #65,878 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #6,940/116,326.

jaanli/variational-autoencoder is also tagged with popular topics, for these it's ranked: deep-learning (#1,159/8389), machine-learning (#1,188/7926), pytorch (#732/5948), tensorflow (#391/2241), learning (#119/686), deep-neural-networks (#98/626)

Other Information

jaanli/variational-autoencoder has Github issues enabled, there are 2 open issues and 24 closed issues.

There have been 1 release, the latest one was published on 2021-01-22 (3 years ago) with the name Canonical release.

Homepage URL: https://jaan.io/what-is-variational-autoencoder-vae-tutorial/

All Topics

vae deep pytorch learning tensorflow deep-learning machine-learning deep-neural-networks unsupervised-learning variational-inference variational-autoencoder autoregressive-neural-networks probabilistic-graphical-models

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The only known language in this repository is Python

updated: 2024-11-21 @ 04:33am, id: 65744394 / R_kgDOA-suCg