Factual package intelligence from PyPI
Advancements on non-negative matrix factorization in PyTorch, with crystallography as a primary use case.
pip install constrained-matrix-factorization
PyPI declares 3 unique dependency rules for this release. Environment markers are shown when supplied by the project.
constrained-matrix-factorization publishes 1 wheel and 1 source archive for version 0.1.2. Wheel platform tags: any.
No version-specific Python classifiers are declared.
PyPI lists 3 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .