Home
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
ShenjingCat is for the simulation of SNN with weight transferred from ANN training.
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/.