BrainWaveEmotion is a machine learning project for classifying emotional states using EEG data. It includes data preprocessing, feature extraction, and model training scripts to identify emotions like happiness and sadness from raw EEG recordings. Ideal for researchers and developers in neuroinformatics and affective computing.
active 2024-06-30 → 2024-07-03 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 4 days from 2024-06-30 to 2024-07-03. Pushes: 13 total, peak 13 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 1 total, peak 1 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| alexncrsc | 13 | 13 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
No issue or PR events — this repo's activity is pushes only.
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1 stars here means stars gained during the window, not the repo's star count.