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A modular and asynchronous framework for neuromorphic optimisation using spike-driven metaheuristics and heuristic-controlled spiking dynamics.
pip install neuroptimiser
PyPI declares 30 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=8.31.0>=3.10.0>=1.25.0>=2.8>=0.11.1>=2.5.1>=1.15.3>=0.20.3>=0.0.4>=0.10.0>=0.13.2>=0.7.7>=7.4.5The compact report shows 18 of 30 declarations. The interactive dependency graph loads the complete metadata.
neuroptimiser publishes 1 wheel and 1 source archive for version 1.0.4. Wheel platform tags: any.
Declared Python classifiers: 3.10.
PyPI lists 6 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 .