This project is a Handwritten Digit Classifier that uses the MNIST dataset to classify handwritten digits (0-9). The model is built using machine learning techniques and deep learning models to achieve high accuracy. It supports both binary and multi-class classification, along with performance analysis using precision-recall and ROC curves.
active 2025-02-15 → 2025-02-15 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 2 days from 2025-02-15 to 2025-07-23. Pushes: 3 total, peak 2 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
- 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 |
|---|---|---|---|---|
| vikranth2711 | 2 | 2 | 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.