NeuroTS
snntorch
| NeuroTS | snntorch | |
|---|---|---|
| 1 | 2 | |
| 35 | 1,107 | |
| - | - | |
| 6.8 | 9.2 | |
| 17 days ago | 6 days ago | |
| Python | Python | |
| GNU General Public License v3.0 only | MIT License |
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NeuroTS
snntorch
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Bio inspired computer vision
Spiking Neural Networks (SNNs): neural networks that use spiking neurons (i.e. neurons that communicate using asynchronous binary spikes similarly to biological neurons) instead of artificial neurons. Apart from this particularity, SNNs can be organized in any kind of topology we all know, like CNNs, ViT, etc. There are tons of approaches to train SNNs, like bio-inspired learning rules (STDP, three factor rules, etc) or adaptations of backprop (which remains the SOTA in a lot of vision tasks). A good resource to begin with backprop-trained SNNs: https://snntorch.readthedocs.io/en/latest/ .
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How to train brain-inspired spiking neural networks using lessons from deep learning. Interactive Colab notebook links in thread.
Github: https://github.com/jeshraghian/snntorch
What are some alternatives?
momepy - Urban Morphology Measuring Toolkit
spikingjelly - SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.
UniqueBible - A cross-platform bible application, integrated with high-quality resources and amazing features, running offline in Windows, macOS and Linux, ChromeOS, Android, iOS. Various running modes are supported.
norse - Deep learning with spiking neural networks (SNNs) in PyTorch.
pyphi - A toolbox for integrated information theory.
bindsnet - Simulation of spiking neural networks (SNNs) using PyTorch.
pytorch-forecasting - Time series forecasting with PyTorch
TorchGA - Train PyTorch Models using the Genetic Algorithm with PyGAD
Kilosort - Fast spike sorting with drift correction for up to a thousand channels
pycox - Survival analysis with PyTorch
norse - Deep learning for spiking neural networks
Keras - Deep Learning for humans