braindecode
Deep learning software to decode EEG, ECG or MEG signals (by braindecode)
snntorch
Deep and online learning with spiking neural networks in Python (by jeshraghian)
braindecode | snntorch | |
---|---|---|
1 | 2 | |
719 | 1,107 | |
5.7% | - | |
9.3 | 9.2 | |
1 day ago | 10 days ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | 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.
braindecode
Posts with mentions or reviews of braindecode.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-05-03.
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[D] [P] Need help in my Thesis project "A comparison study of EEG analysis by Deep Learning vs Expert board cerrtified Neurologist analysis for 100 patient data
Till now i have found only 1 open source model (aka BRAINCODE) that can be used (I will try to make a setup and analyse its feasability , it looks like it can be used as far as i can understnad from its Github reprository (https://github.com/braindecode/braindecode/)
snntorch
Posts with mentions or reviews of snntorch.
We have used some of these posts to build our list of alternatives
and similar projects.
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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?
When comparing braindecode and snntorch you can also consider the following projects:
awesome-tech-rss - List of awesome RSS channels related to startup, science and technology.
spikingjelly - SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.