Factual package intelligence from PyPI
Compact implementation of basic operations in the tensor-train (TT) format with jax framework for approximation, optimization and sampling with multidimensional arrays and multivariate functions
pip install teneva-jax
PyPI declares 1 unique dependency rule for this release. Environment markers are shown when supplied by the project.
>=0.4.6teneva-jax publishes 1 wheel and 1 source archive for version 0.1.1. Wheel platform tags: any.
Declared Python classifiers: 3.8, 3.9.
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 .