GitHub / jaanli / variational-autoencoder
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
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PURL: pkg:github/jaanli/variational-autoencoder
Stars: 1,174
Forks: 258
Open issues: 2
License: mit
Language: Python
Size: 94.7 KB
Dependencies parsed at: Pending
Created at: almost 9 years ago
Updated at: 7 days ago
Pushed at: over 1 year ago
Last synced at: 6 days ago
Commit Stats
Commits: 50
Authors: 7
Mean commits per author: 7.14
Development Distribution Score: 0.34
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/jaanli/variational-autoencoder
Topics: autoregressive-neural-networks, deep, deep-learning, deep-neural-networks, learning, machine-learning, probabilistic-graphical-models, pytorch, tensorflow, unsupervised-learning, vae, variational-autoencoder, variational-inference