norse
Spiking-Neural-Network
| norse | Spiking-Neural-Network | |
|---|---|---|
| 1 | 1 | |
| 61 | 978 | |
| - | - | |
| 0.0 | 0.0 | |
| almost 2 years ago | almost 2 years ago | |
| Python | Python | |
| GNU Lesser General Public License v3.0 only | Apache License 2.0 |
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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
Spiking-Neural-Network
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Don't Mess with Backprop: Doubts about Biologically Plausible Deep Learning
I'm not very familiar with deep learning. How does this compare to the biomimicking Spike Time Dependent Plasticity of spiking neural networks?
https://github.com/Shikhargupta/Spiking-Neural-Network#train...
What are some alternatives?
bindsnet - Simulation of spiking neural networks (SNNs) using PyTorch.
norse - Deep learning with spiking neural networks (SNNs) in PyTorch.
snntorch - Deep and online learning with spiking neural networks in Python
lava - A Software Framework for Neuromorphic Computing
Neuromorphic-Computing-Guide - Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.
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]
pyN - Neuron(s)-based library in Python using numpy and Blender Game Engine.
spikingjelly - SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.
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.
tntorch - Tensor Network Learning with PyTorch