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Production-ready meta-learning algorithms with research-accurate implementations of MAML, Prototypical Networks, and test-time compute scaling
pip install meta-learning-toolkit
PyPI declares 45 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=1.21.0>=6.0>=2.25.0>=12.0.0>=1.0.0>=1.7.0>=2.0.0>=0.15.0>=4.64.0The compact report shows 25 of 45 declarations. The interactive dependency graph loads the complete metadata.
meta-learning-toolkit publishes 1 wheel and 1 source archive for version 2.5.0. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.9.
PyPI lists 18 releases with files. The first dated release is ; 18 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .