eeg-classification-api
importedsoftware/eeg-classification-api
EEG Classification API using Flask
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- GPL-3.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Documentation
- unknown
- Tags
- api · brain-computer-interface · eegnet · flask · machine-learning · motor-imagery-classification
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- BCI-ToolBoxbrain-computer-interface · eegnet · motor-imagery-classification
Deep Learning pipeline for motor-imagery classification.
- Muse-MotorImageryClassificationbrain-computer-interface · motor-imagery-classification
Record EEG data from a Muse 2 headband using the MInd Monitor app and python osc module. Build and train a CNN model in Keras framework to classify Left-Right Motor Imagery. Make real-time…
- NeuralFlightbrain-computer-interface · eegnet
Neural control framework for drones using motor imagery EEG classification. Achieves 73% cross-subject accuracy with PyTorch and enables hands-free drone control through imagined hand/feet movements.
A tool for bulk download, formatting and SQL DB storage of exercise, training, nutrition, wellness and health data from various trackers.
- CTLabelingflask
A simple privacy-focused web panel in flask for labeling CT Scan's slices
Diabetes Prediction System using support vector classifier and its deployment on local machine
- api.github.com/repos/phanquanghung/eeg-classification-apiretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2023-10-26, 7 stars, license reported as GPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
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/v1/entries/18.json→ .entries["eeg-classification-api"]
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