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-0.1.15.tar.gz
(32.3 kB
view hashes)
Built Distribution
Close
Hashes for hvae_backbone-0.1.15-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3dbf3ca20f34461d99a9931e0da78f189af349a7f56fe07cd551d36b904d00a9 |
|
MD5 | 65c039f60bec078639028f89253f3b84 |
|
BLAKE2b-256 | da6331e3cefa5481a2d1264588903e6c03274f180d7ad083b1346e68eac745f2 |