Metadata-Version: 1.1
Name: snntoolbox
Version: 0.6.0
Summary: Spiking neural network conversion toolbox
Home-page: https://github.com/NeuromorphicProcessorProject/snn_toolbox
Author: Bodo Rueckauer
Author-email: bodo.rueckauer@gmail.com
License: MIT
Download-URL: https://github.com/NeuromorphicProcessorProject/snn_toolbox.git
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        Spiking neural network conversion toolbox
        =========================================
        
        The SNN conversion toolbox (SNN-TB) is a framework to transform rate-based
        artificial neural networks into spiking neural networks, and to run them using
        various spike encodings. A unique feature about SNN-TB is that it accepts input
        models from many different deep-learning libraries (Keras / TF, pytorch, ...)
        and provides an interface to several backends for simulation (pyNN, brian2,
        ...) or deployment (SpiNNaker, Loihi).
        
        Please
        refer to the `Documentation <http://snntoolbox.readthedocs.io>`_ for a complete
        user guide and API reference. See also the accompanying articles
        `[Rueckauer et al., 2017] <https://www.frontiersin.org/articles/10.3389/fnins.2017.00682/abstract>`_
        and `[Rueckauer and Liu, 2018] <https://ieeexplore.ieee.org/abstract/document/8351295/>`_.
        
Keywords: neural networks,deep learning,spiking
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
