This web app is a simple handwritten digit classification model built using a neural network with the MNIST dataset. The MNIST dataset is a collection of 70,000 small square 28x28 pixel grayscale images of handwritten single digits between 0 and 9. The model is built using TensorFlow and Keras, and the web app is built using Streamlit.
active 2024-03-23 → 2024-03-24 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 2 days from 2024-03-23 to 2024-03-24. Pushes: 4 total, peak 4 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: 1 total, peak 1 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 |
|---|---|---|---|---|
| gokulnpc | 4 | 4 | 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 — 1 stars here means stars gained during the window, not the repo's star count.