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A PyTorch Lightning extension that enhances model experimentation with flexible fine-tuning schedules.
pip install finetuning-scheduler
PyPI declares 58 unique dependency rules for this release. Environment markers are shown when supplied by the project.
The compact report shows 25 of 58 declarations. The interactive dependency graph loads the complete metadata.
finetuning-scheduler publishes 1 wheel and 1 source archive for version 2.10.0. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.13.
PyPI lists 45 releases with files. The first dated release is ; 6 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .