Metadata-Version: 2.1
Name: pyroved
Version: 0.0.3
Summary: Variational encoder-decoder models
Home-page: https://github.com/ziatdinovmax/pyroVED/
Author: Maxim Ziatdinov
Author-email: maxim.ziatdinov@ai4microcopy.com
License: MIT license
Description: ## pyroVED
        
        [![build](https://github.com/ziatdinovmax/pyroVED/actions/workflows/actions.yml/badge.svg)](https://github.com/ziatdinovmax/pyroVED/actions/workflows/actions.yml)
        [![PyPI version](https://badge.fury.io/py/pyroved.svg)](https://badge.fury.io/py/pyroved)
        
        Variational encoder-decoder models in Pyro probabilistic programming language for applications in spectral and image analysis. The currently available models include variational autoencoders with translational and/or rotational invariance for unsupervised, class-conditioned and semi-supervised learning. More models to come!
        
        Please check out our interactive [examples](https://colab.research.google.com/github/ziatdinovmax/pyroVED/blob/main/examples/pyroVED_examples.ipynb) and let us know if you have any questions or if you would like to see the addition of any specific functionality!
        
Platform: UNKNOWN
Classifier: Programming Language :: Python
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering
Requires-Python: >=3.6
Description-Content-Type: text/markdown
