README

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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. More models to come!

mnist

Installation

Requirements

  • python >= 3.6

  • pytorch >= 1.8

  • pyro-ppl >= 1.6

Install pyroVED using pip:

pip install pyroved

Latest (unstable) version

To upgrade to the latest (unstable) version, run

pip install --upgrade git+https://github.com/ziatdinovmax/pyroved.git

Development

To run the unit tests, you’ll need to have a pytest framework installed:

python3 -m pip install pytest

Then run tests as:

pytest tests

If this is your first time contributing to an open-source project, we highly recommend starting by familiarizing yourself with these very nice and detailed contribution guidelines.