norse
Deep learning for spiking neural networks (by electronicvisions)
snntorch
Deep and online learning with spiking neural networks in Python (by jeshraghian)
norse | snntorch | |
---|---|---|
1 | 2 | |
61 | 1,099 | |
- | - | |
0.0 | 9.2 | |
almost 2 years ago | 21 days ago | |
Python | Python | |
GNU Lesser General Public License v3.0 only | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
norse
Posts with mentions or reviews of norse.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-02-15.
-
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
snntorch
Posts with mentions or reviews of snntorch.
We have used some of these posts to build our list of alternatives
and similar projects.
-
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/ .
-
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?
When comparing norse and snntorch you can also consider the following projects:
bindsnet - Simulation of spiking neural networks (SNNs) using PyTorch.
spikingjelly - SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.