This project implements a CNN-based visual classifier for retinal images, focusing on identifying various conditions like Age-Related Macular Degeneration (AMD), Diabetic Retinopathy (DR), and Glaucoma. The model has been optimized through hyperparameter tuning and enhanced with attention mechanisms like CBAM and Transformer.
active 2024-10-04 → 2024-10-04 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2024-10-04 to 2024-10-04. Pushes: 7 total, peak 7 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: 0 total, peak 0 in a day.
- Pushes
- Pull requests
- Issues
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- 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 |
|---|---|---|---|---|
| waqaas108 | 7 | 7 | 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 — 0 stars here means stars gained during the window, not the repo's star count.