xiangzhang1015 / Deep-Learning-for-BCI
Resources for Book: Deep Learning for EEG-based Brain-Computer Interface: Representations, Algorithms and Applications
Why this job: works in the areas we cover, but does not say which job it does
What it does
This repository contains implementable Python and Jupyter Notebook code alongside benchmark datasets for learning how to classify brain signals using deep learning. It accompanies our survey on deep learning for noninvasive brain signals and the textbook.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 3 months ago
- Stars
- 303
- On GitHub
- Licence
- Custom
- Read before business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Jupyter Notebook
- 76% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 50% closed
- 2 still open
- Pull requests
- 1 merged
- 0 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Jupyter Notebook 76%
- Python 24%
Topics
- eeg
- bci
- deep-learning
- machine-learning
- datamining
- artificial-intelligence
Project record
- JobOther AI tools
- StatusListed
- Commits105
- Forks71
- Watching3
- Stars in 28 days+3
- CreatedJul 29, 2020
- First seen by usNov 7, 2026
- CheckedNov 8, 2026