eegauge
importeddata/eegauge
Honest dataset cards for public EEG/BCI datasets: leakage-aware baselines, chance/significance, per-class metrics, and MOABB + EEGDash metadata. Not medical software.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Data & Standards
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- active
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/YG-paaleee/eegauge
- Documentation
- unknown
- Tags
- bci · benchmarking · brain-computer-interface · dataset-card · eeg · eeg-classification · eegdash · machine-learning
- 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.
- bcibci · brain-computer-interface · eeg · eeg-classification
Framework for P300 wave detection and noise-based cyberattacks in Brain-Computer Interfaces - Enrique Tomás Martínez Beltrán
- Sans-Tracasbci · brain-computer-interface · eeg
An Interactive Cross-Platform tool to run Online EEG Experiments using Web-Bluetooth and the Muse EEG headset.
- bci_toolboxbenchmarking · brain-computer-interface · eeg
Classification toolbox for ERP and SSVEP based BCI data
- CTNetbci · brain-computer-interface · eeg-classification
CTNet: A Convolutional Transformer Network for EEG-Based Motor Imagery Classification
- NeuralFlightbci · brain-computer-interface · eeg-classification
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.
- pdf-brainbci · brain-computer-interface · eeg-classification
📚 Index and enrich your PDFs and Markdown files locally for a powerful, unified knowledge base with semantic search capabilities.
- api.github.com/repos/YG-paaleee/eegaugeretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2026-06-23, 4 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/38.json→ .entries["eegauge"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.