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A library that provides a rich set of tools for tensor analysis, multi-linear algebra, tensor regression and multi-dimensional sparse signal representations.
pip install tensor-ml
PyPI declares 4 unique dependency rules for this release. Environment markers are shown when supplied by the project.
tensor-ml publishes 1 wheel and 1 source archive for version 0.2.0. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.13.
PyPI lists 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .