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ziatdinovmax authored May 23, 2021
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[![Documentation Status](https://readthedocs.org/projects/pyroved/badge/?version=latest)](https://pyroved.readthedocs.io/en/latest/README.html)
[![PyPI version](https://badge.fury.io/py/pyroved.svg)](https://badge.fury.io/py/pyroved)

pyroVED is an open-source package built on top of the Pyro probabilistic programming language for applications of variational encoder-decoder models in spectral and image analyses. The currently available models include variational autoencoders with translational and/or rotational invariance for unsupervised, class-conditioned, and semi-supervised learning, as well as *im2spec*-type models for predicting spectra from images and vice versa.
pyroVED is an open-source package built on top of the Pyro probabilistic programming language for applications of variational encoder-decoder models in spectral and image analyses. The currently available models include variational autoencoders with translational, rotational, and scale invariances for unsupervised, class-conditioned, and semi-supervised learning, as well as *im2spec*-type models for predicting spectra from images and vice versa.
More models to come!

If you found a bug in the code or would like a specific feature to be added, please create a report/request [here](https://github.com/ziatdinovmax/pyroVED/issues/new/choose).
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