eeg_mi_dl
importedsoftware/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.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/edw4rdyao/eeg_mi_dl
- Documentation
- unknown
- Tags
- bci · bci-systems · braindecode · cnn · eeg · eeg-classification · eeg-signals-processing · gcn
- 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.
- Muse-Analysis-Toolseeg · eeg-classification · eeg-signals-processing
A set of tools to analyze and create charts from Muse EEG devices.
- EEG-Brain-Computer-Interface-to-play-Pongbci · bci-systems · eeg
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.
- PyNoetic-officialbci-systems · eeg-signals-processing
PyNoetic: A Modular Python Framework for No-Code Development of EEG Brain-Computer Interfaces
- CTNetbci · cnn · eeg-classification
CTNet: A Convolutional Transformer Network for EEG-Based Motor Imagery Classification
- rustymindbci · eeg · eeg-signals-processing
A driver, parser and real time brainwave plotter for NeuroSky MindWave EEG headset
- api.github.com/repos/edw4rdyao/eeg_mi_dlretrieved 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.
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/v1/entries/32.json→ .entries["eeg-mi-dl"]
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