JOSS: https://github.com/MedMaxLab/selfEEG
deep-learning eeg self-supervised-learning
Score: 12.805870223098427
Last synced: about 7 hours ago
JSON representation
Repository metadata:
selfEEG: a Python library for Self-Supervised Learning on Electroencephalography (EEG) data
- Host: GitHub
- URL: https://github.com/MedMaxLab/selfEEG
- Owner: MedMaxLab
- License: mit
- Created: 2023-09-25T07:41:57.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2026-08-04T13:58:35.000Z (11 days ago)
- Last Synced: 2026-08-07T03:48:10.153Z (8 days ago)
- Topics: deep-learning, eeg, self-supervised-learning
- Language: Python
- Homepage: https://selfeeg.readthedocs.io/en/latest/
- Size: 13.3 MB
- Stars: 75
- Watchers: 5
- Forks: 14
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE.md
- Code of conduct: CODE_OF_CONDUCT.md
- Citation: CITATION.cff
Owner metadata:
- Name: MedMaxLab
- Login: MedMaxLab
- Email:
- Kind: organization
- Description:
- Website:
- Location:
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/119063619?v=4
- Repositories: 1
- Last Synced at: 2023-12-14T15:04:09.425Z
- Profile URL: https://github.com/MedMaxLab
GitHub Events
Total
- Fork event: 1
- Pull request event: 8
- Push event: 7
- Watch event: 20
- Total: 36
Last Year
- Watch event: 3
- Total: 3
Committers metadata
Last synced: 1 day ago
Total Commits: 199
Total Committers: 7
Avg Commits per committer: 28.429
Development Distribution Score (DDS): 0.111
Commits in past year: 10
Committers in past year: 1
Avg Commits per committer in past year: 10.0
Development Distribution Score (DDS) in past year: 0.0
| Name | Commits | |
|---|---|---|
| fedepup | f****p@s****t | 177 |
| andreazanola98 | “****8@g****” | 8 |
| Marijn van Vliet | w****t@g****m | 7 |
| Federico Del Pup | f****p@M****l | 3 |
| Louis Fabrice Tshimanga | l****3@g****m | 2 |
| andreazanola98 | a****8@g****m | 1 |
| Elizabeth DuPre | e****2@c****u | 1 |
Issue and Pull Request metadata
Last synced: 6 days ago
Total issues: 4
Total pull requests: 24
Average time to close issues: 7 days
Average time to close pull requests: 5 days
Total issue authors: 3
Total pull request authors: 4
Average comments per issue: 3.75
Average comments per pull request: 0.13
Merged pull request: 20
Bot issues: 0
Bot pull requests: 0
Past year issues: 0
Past year pull requests: 5
Past year average time to close issues: N/A
Past year average time to close pull requests: 22 days
Past year issue authors: 0
Past year pull request authors: 2
Past year average comments per issue: 0
Past year average comments per pull request: 0.2
Past year merged pull request: 1
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- wmvanvliet (2)
- adejumoridwan (1)
- vferat (1)
Top Pull Request Authors
- fedepup (17)
- tyro880 (4)
- wmvanvliet (2)
- emdupre (1)
Top Issue Labels
Top Pull Request Labels
Package metadata
- Total packages: 1
-
Total downloads:
- pypi: 693 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 5
- Total maintainers: 1
pypi.org: selfeeg
Self-Supervised Learning for EEG
- Homepage: https://github.com/MedMaxLab/selfEEG
- Documentation: https://selfeeg.readthedocs.io/en/latest/index.html
- Licenses: MIT
- Latest release: 0.2.2 (published 11 days ago)
- Last Synced: 2026-08-13T23:01:03.381Z (1 day ago)
- Versions: 5
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 693 Last month
-
Rankings:
- Dependent packages count: 10.151%
- Average: 38.58%
- Dependent repos count: 67.01%
- Maintainers (1)
Dependencies
- actions/checkout v4 composite
- actions/setup-python v5 composite
- actions/checkout v3 composite
- actions/upload-artifact v1 composite
- openjournals/openjournals-draft-action master composite
- actions/checkout v4 composite
- actions/setup-python v4 composite
- IPython *
- matplotlib *
- myst_parser *
- nbsphinx *
- numpy *
- pandas *
- scikit-learn *
- selfeeg *
- sphinx_automodapi *
- sphinx_rtd_theme *
- torch *
- torchaudio *
- torchvision *
- pandas >=2.0.0
- pip >=23.3
- scikit-learn >=1.2.2
- torch >=2.0.1
- torchaudio >=2.0.2
- torchvision >=0.15.2
- tqdm >=4.65.0