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vlawhern/arl-eegmodels
This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow
1.5k 329 +0/wk
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brain-computer-interface convolutional-neural-networks deep-learning eeg eeg-classification event-related-potentials keras sensory-motor-rhythm tensorflow time-series-classification
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vlawhern/arl-eegmodels has +0 stars this period . 7-day velocity: 0.2%.
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| Metric | arl-eegmodels | pycm | Category_Theory_Machine_Learning | mind |
|---|---|---|---|---|
| Stars | 1.5k | 1.5k | 1.5k | 1.5k |
| Forks | 329 | 123 | 100 | 110 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Python | Python | JavaScript |
| Sources | 1 | 1 | 1 | 1 |
| License | NOASSERTION | MIT | N/A | N/A |
Capability Radar vs pycm
arl-eegmodels
pycm
Maintenance Activity 0
Last code push 1437 days ago.
Community Engagement 100
Fork-to-star ratio: 21.9%. Active community forking and contributing.
Issue Burden 70
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Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 30
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