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eeg_mi_dl

imported

software/eeg-mi-dl

A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualization & analysis), papers(research and summary), deep learning…

Machine-generated from the listed sources and not yet reviewed by a human.

eeg_mi_dl project image
GitHub preview card for edw4rdyao/eeg_mi_dl. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
bci · bci-systems · braindecode · cnn · eeg · eeg-classification · eeg-signals-processing · gcn
Regulatory
unknown
built by · 1

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.

  • motor-imagery-BCIbci-systems · eeg · eeg-classification · eeg-signals-processing

    A MATLAB toolbox for classification of motor imagery tasks in EEG-based BCI system with CSP, FB-CSP and BSSFO

  • Developed an Electroencephalography(EEG) based Brain Computer Interface to play Pong with brain activity

  • EEGNetbci · bci-systems · eeg

    This project focuses on implementing CNN model based on the EEGNet architecture with Pytorch library for classifying motor imagery tasks using EEG data.

  • Eegle.jleeg · eeg-classification · eeg-signals-processing

    A Julia integrative package for EEG data analysis and machine learning

  • electroCUDAeeg · eeg-classification · eeg-signals-processing

    Robust electrophysiology tools with GPU acceleration

  • Muse-Analysis-Toolseeg · eeg-classification · eeg-signals-processing

    A set of tools to analyze and create charts from Muse EEG devices.

sources
  1. api.github.com/repos/edw4rdyao/eeg_mi_dl
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2024-08-03, 92 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/32.json→ .entries["eeg-mi-dl"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.