Authors: Jun Zhou, Zhanglu Yan
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
Please refer to the wiki
CQ Trainig is trained in stages as the figure below. The details of training methods is in learning_tricks.md.
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.
This simulator is inspired by and makes use of the code from slayerPytorch
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/.