|b1| |b2| |b3| |b4|
.. |b2| image:: https://readthedocs.org/projects/snntoolbox/badge/?version=latest :target: https://snntoolbox.readthedocs.io/en/latest/?badge=latest :alt: Documentation Status
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).
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>
[Rueckauer and Liu, 2018] <https://ieeexplore.ieee.org/abstract/document/8351295/>_.