SNNAX
SNNAX is a lightweight library for implementing Spiking Neural Networks (SNN) is JAX. It leverages the excellent and intuitive [Equinox Library](https://docs.kidger.site/equinox/). The core of SNNAX is a module that stacks layers of pre-defined or custom defined SNNs and Equinox neural network modules, and providing the functions to call them in a single scan loop. This mode of operation enables feedback loops across the layers of SNNs, while leveraging GPU acceleration as much as possible
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This project has been set up using PyScaffold 4.3.1. For details and usage information on PyScaffold see https://pyscaffold.org/.
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Release files for snnax 0.0.1
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| snnax-0.0.1.tar.gz | 520.1 kB | Without provenance | Details |
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| snnax-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 538.3 kB
Release files / snnax-0.0.1.tar.gz
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| Tags | Python 3 |
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