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Active learning with tensorflow. Create custom and generic active learning loops. Export and share your experiments.
pip install tf-al
PyPI declares 4 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=2,<3>=0.24.2,<0.25.0>=1,<2>=4.62.2,<5.0.0tf-al publishes 1 wheel and 1 source archive for version 0.1.1. Wheel platform tags: any.
Declared Python classifiers: 3.6, 3.7, 3.8, 3.9.
PyPI lists 7 releases with files. The first dated release is ; 7 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .