Project description

spikingtorch

Training spiking neural networks using Pytorch

About

spikingtorch is a lightweight module for training deep spiking neural networks using Pytorch. spikingtorch includes encoders that transform standard ML datasets into spike trains, and decoders that transform the output spikes into values that can be used with loss functions in Pytorch.

Status

Spikingtorch is still in development.

Quick install

Through pypi:

pip install spikingtorch

Acknowledgements

Argonne National Laboratory's Laboratory Directed Research and Development program.
Threadwork, U.S. Department of Energy Office of Science, Microelectronics Program.

Publications

A. Yanguas-Gil, Coarse scale representation of spiking neural networks: backpropagation through spikes and application to neuromorphic hardware, arXiv:2007.06176

Copyright and license

Spikelearn is distributed under the terms of BSD License. See LICENSE

Project details

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Project links

Homepage

Release history Release notifications | RSS feed

0.1.3

Jun 16, 2024

0.1.1

Jun 10, 2023

This version

0.1.0

Apr 4, 2023

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