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ShenjingCat: An SNN framework with PyTorch

Authors: Jun Zhou, Zhanglu Yan

Installation

The repository includes C++ and CUDA code that has to be compiled and installed before it can be used from Python, download the repository and run the following command to do so:

python setup.py install

Documentation

Please refer to the wiki

Training Workflow

CQ Trainig is trained in stages as the figure below.

Publications:

Z. Yan, J. Zhou, and W.F. Wong, "Near Lossless Transfer Learning for Spiking Neural Networks." Accepted by Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21). Virtual conference. Feb 2021.

Acknowledgement

This simulator is inspired by and makes use of the code from slayerPytorch

License & Copyright

Copyright 2020 Jun Zhou, ShenjingCat is free software: you can redistribute it and/or modoify it under the terms of GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

ShenjingCat is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details http://www.gnu.org/licenses/.

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