This project develops a deep learning model for image classification, focusing on accuracy, uncertainty, and robustness. A custom CNN was built using the Adam optimizer and cross-entropy loss. Uncertainty metrics (least confidence, entropy) and diversity metrics (cosine similarity, Kullback-Leibler divergence) were used to evaluate performance.
active 2024-12-24 → 2025-01-05 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 13 days from 2024-12-24 to 2025-01-05. Pushes: 26 total, peak 18 in a day. Pull requests: 10 total, peak 4 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
- 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 |
|---|---|---|---|---|
| syntaxking-7 | 36 | 26 | 10 | 0 |
Recent activity
Latest issues, pull requests and releases
- Pull request#5syntaxking-72025-01-05 15:20
- Pull request#5syntaxking-72025-01-05 15:20
- Pull request#4syntaxking-72025-01-04 17:38
- Pull request#4syntaxking-72025-01-04 17:38
- Pull request#3syntaxking-72024-12-29 15:19
- Pull request#3syntaxking-72024-12-29 15:18
- Pull request#2syntaxking-72024-12-29 11:08
- Pull request#2syntaxking-72024-12-29 11:08
- Pull request#1syntaxking-72024-12-24 13:36
- Pull request#1syntaxking-72024-12-24 13:36
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.