awesome-tech-rss
braindecode
awesome-tech-rss | braindecode | |
---|---|---|
1 | 1 | |
114 | 698 | |
- | 3.2% | |
3.2 | 9.3 | |
26 days ago | 8 days ago | |
Python | Python | |
Creative Commons Zero v1.0 Universal | BSD 3-clause "New" or "Revised" License |
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.
awesome-tech-rss
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Debate with People who enjoy tinkering about technology
https://github.com/tuan3w/awesome-tech-rss
braindecode
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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/)
What are some alternatives?
snntorch - Deep and online learning with spiking neural networks in Python
Shallow-learning - Replicating brain's low energy high efficiency model architecture & calculating (maths)
feelskunaman - A tool for visualizing emotions in music using a Python wrapper for Spotify API. Independent post-baccalaureate research by Nick Stapleton. For Kunaveer, a friend.
AdaTime - [TKDD 2023] AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data
awesome-python - 📚 Awesome Python Resources (mostly PyCon).
python-meegkit - 🔧🧠MEEGkit: MEG & EEG processing toolkit in Python
awesome-cvelabs - A list of all awesome CVELabs
EEG-Datasets - A list of all public EEG-datasets
eyeloop - EyeLoop is a Python 3-based eye-tracker tailored specifically to dynamic, closed-loop experiments on consumer-grade hardware.
fooof - Parameterizing neural power spectra into periodic & aperiodic components.