# 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](https://arxiv.org/abs/2007.06176)
## Copyright and license
Copyright © 2020-2022, UChicago Argonne, LLC
spikelearn is distributed under the terms of BSD License. See
[LICENSE](https://github.com/spikingnn/spikingtorch/blob/master/LICENSE.md)
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