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TensorFlow-based framework implementing Extreme Learning Machines (ELM) and Random Vector Functional Link (RVFL) networks with all their variants.
pip install tfelm-rvfl
PyPI declares 10 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=2.10.0>=1.21.0>=1.3.0>=1.0.0>=2.10.0>=3.7.0>=2.5.0>=4.64.0>=1.9.0>=3.5.0tfelm-rvfl publishes 1 wheel and 1 source archive for version 1.1.0. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12, 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 .