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eegauge

imported

data/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.

eegauge project image
GitHub preview card for YG-paaleee/eegauge. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Data & Standards
Subcategory
unknown
License
MIT(osi)
Status
active
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
bci · benchmarking · brain-computer-interface · dataset-card · eeg · eeg-classification · eegdash · machine-learning
Regulatory
unknown
built by · 2

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.

similar by tags

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

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  • 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.

sources
  1. api.github.com/repos/YG-paaleee/eegauge
    retrieved 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 →

machine-readable

/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.