This project aims to develop a machine learning-based system for classifying chest X-ray images into two categories: pneumonia and normal. The system will be trained on a dataset of labeled chest X-ray images, using deep learning algorithms to extract features and learn patterns that distinguish pneumonia cases from normal ones.
active 2024-05-29 → 2024-07-09 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 42 days from 2024-05-29 to 2024-07-09. Pushes: 7 total, peak 2 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 1 total, peak 1 in a day. Comments: 1 total, peak 1 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 |
|---|---|---|---|---|
| Codedestructor56 | 6 | 6 | 0 | 0 |
| SyedIsmaeelHamza | 3 | 1 | 0 | 1 |
Recent activity
Latest issues, pull requests and releases
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.