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Advancements on non-negative matrix factorization in PyTorch, with crystallography as a primary use case.

Project description

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Advancements on non-negative matrix factorization in PyTorch, with crystallography as a primary use case.

Features

  • TODO

Developer’s Instructions

Install from github:

$ python3 -m venv nmf_env
$ source nmf_env/bin/activate
$ git clone https://github.com/maffettone/constrained-matrix-factorization
$ cd constrained-matrix-factorization
$ python -m pip install --upgrade pip wheel
$ python -m pip install -r requirements-dev.txt
$ pre-commit install
$ python -m pip install -e .

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constrained-matrix-factorization-0.1.0.tar.gz (38.0 kB view hashes)

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