Inference and backprop training of spiking neural networks in Pytorch
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
Copyright and license
Copyright © 2020-2022, UChicago Argonne, LLC
spikelearn is distributed under the terms of BSD License. See LICENSE
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