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Spikeometric is a Pytorch Geometric based framework for simulating Spiking Neural Networks using Linear Non-linear Cascade models
pip install spikeometric
PyPI declares 10 unique dependency rules for this release. Environment markers are shown when supplied by the project.
<1.24>=3.7.1,<4.0.0>=4.62.3,<5.0.0>=1.7.3,<2.0.0>=0.12.2,<0.13.0>=3.0,<4.0>=3.1.1,<4.0.0==9.4.0==1.4.4==2023.3spikeometric publishes 1 wheel and 1 source archive for version 1.0.3. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.8, 3.9.
PyPI lists 5 releases with files. The first dated release is ; 5 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .