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-0.1.17.tar.gz
(32.3 kB
view hashes)
Built Distribution
Close
Hashes for hvae_backbone-0.1.17-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | f2450199be5c0fa432938d065772fad61f712c46b5be0ae23c44d9326b6b7d14 |
|
MD5 | 3aad93623db7aa75787af9ff4775d709 |
|
BLAKE2b-256 | 4a8101d11818f665bc4d3ca0ae8a41cc75b3bb609d6243501559aece1127f09e |