Metadata-Version: 2.1
Name: hvae-backbone
Version: 0.1.19
Summary: Universal and customizable implementation of the Hierarchical Variational Autoencoder architecture.
Home-page: https://github.com/lacykaltgr/hvae-backbone
Author: László Freund
Author-email: freundl0509@gmail.com
License: MIT
Keywords: vae,hierarchical vae,generative model
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: torch
Requires-Dist: numpy
Requires-Dist: wandb
Requires-Dist: tqdm

# hvae-backbone
Universal backbone implementation of Hierarchical Variational Autoencoder in PyTorch.


# TODO:
- callbacks
- preprocessing
- imports
- move priors to device
- sample vs rsmaple blokkoknál (SimpleGenBlock)
