Factual package intelligence from PyPI
Implementation of Machine Learning algorithms, experiments and utilities.
pip install ml-research
PyPI declares 48 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=2.2.0>=1.26.0>=1.2.0>=0.11.0>=2.28.0The compact report shows 25 of 48 declarations. The interactive dependency graph loads the complete metadata.
ml-research publishes 1 wheel and 1 source archive for version 0.5.3. Wheel platform tags: any.
Declared Python classifiers: 3.11, 3.12, 3.13, 3.14.
PyPI lists 15 releases 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 . The preceding dated release was .