Metadata-Version: 2.1
Name: snntoolbox
Version: 0.4.1
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
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
Requires-Dist: future
Requires-Dist: numpy
Requires-Dist: tensorflow
Requires-Dist: keras

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/>`_.


