Universal and customizable implementation of the Hierarchical Variational Autoencoder architecture.
Project description
hvae-backbone
Universal backbone implementation of Hierarchical Variational Autoencoder in PyTorch.
TODO:
- callbacks
- preprocessing
- imports
- move priors to device
- sample vs rsmaple blokkoknál (SimpleGenBlock)
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
hvae_backbone-0.1.30.tar.gz
(32.2 kB
view hashes)
Built Distribution
Close
Hashes for hvae_backbone-0.1.30-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 96a75daf7c08f17f30abab626a2a8e4cc9e778326ebcf535543a8ee46fe81ecc |
|
MD5 | ee451052af8e3c52b9b34ec196e870ad |
|
BLAKE2b-256 | 7a04c3a3a1e43b588c025325ed1f6488e8acc33ddac323db454f6b2d01fc342b |