bindsnet
norse
bindsnet | norse | |
---|---|---|
1 | 1 | |
1,433 | 61 | |
1.7% | - | |
8.6 | 0.0 | |
4 days ago | almost 2 years ago | |
Python | Python | |
GNU Affero General Public License v3.0 | GNU Lesser General Public License v3.0 only |
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bindsnet
norse
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Don't Mess with Backprop: Doubts about Biologically Plausible Deep Learning
If you are interested in deep learning with spiking neural networks there is also the norse framework: https://github.com/electronicvisions/norse
What are some alternatives?
snntorch - Deep and online learning with spiking neural networks in Python
spikingjelly - SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.
Spiking-Neural-Network - Pure python implementation of SNN
norse - Deep learning with spiking neural networks (SNNs) in PyTorch.
OpenWorm - Repository for the main Dockerfile with the OpenWorm software stack and project-wide issues
pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]
Spiking-Neural-Network-SNN-with-PyTorch-where-Backpropagation-engenders-STDP - What about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural network sees data throughout time, and activation functions are instead spikes that are raised past a certain pre-activation threshold. Pre-activation values constantly fades if neurons aren't excited enough.
Sophysics2D
tntorch - Tensor Network Learning with PyTorch