Deep learning methods were employed to classify real and fake face images using datasets sourced from Kaggle. Pre-trained CNN models such as MobileNetV3 Large, MobileNetV3 Small, ResNet50, SqueezeNet, and ShuffleNet were individually evaluated as well as in combined architectures.
active 2024-05-25 → 2024-05-31 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 7 days from 2024-05-25 to 2024-05-31. Pushes: 4 total, peak 3 in a day. Pull requests: 2 total, peak 2 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 |
|---|---|---|---|---|
| alialtunoglu | 5 | 4 | 1 | 0 |
| sena1bayram | 1 | 0 | 1 | 0 |
Recent activity
Latest issues, pull requests and releases
- Pull request#1alialtunoglu2024-05-30 07:20
- Pull request#1sena1bayram2024-05-30 07:18
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.