ML Project from 2nd semester AI studies for predicting missing pixels in image files Contains a Convolutional Neural Network (CNN) that is trained to predict missing pixels from images. The missing pixels are stand-alone seperated by an x- and y-spacing which have for the training values between 2 and inlcuding 6 pixels. The missing pixels are starting at an x- and y-offset which have for training values between 0 and 8 pixels. The final accuracy measured as the root mean squared error of the
active 2024-03-18 → 2024-03-18 (UTC)
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Line chart, 1 days from 2024-03-18 to 2024-03-18. Pushes: 2 total, peak 2 in a day. Pull requests: 2 total, peak 2 in a day. Issues: 0 total, peak 0 in a day. Comments: 1 total, peak 1 in a day. Stars: 0 total, peak 0 in a day.
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Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| LeonOrou | 5 | 2 | 2 | 1 |
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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.