This project demonstrates a simple image classification task using PyTorch, a popular open-source machine learning library for Python. The goal is to train a convolutional neural network (CNN) to classify images from the CIFAR-10 dataset, which consists of 60,000 32x32 color images in 10 classes (e.g., airplanes, cars, birds, etc.).
active 2024-05-19 → 2025-03-16 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 302 days from 2024-05-19 to 2025-03-16. Pushes: 2 total, peak 2 in a day. Pull requests: 1 total, peak 1 in a day. Issues: 1 total, peak 1 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 |
|---|---|---|---|---|
| aayushsharma-io | 2 | 2 | 0 | 0 |
| nitharshy | 1 | 0 | 0 | 0 |
| CHIRANJEET1729DAS | 1 | 0 | 1 | 0 |
Recent activity
Latest issues, pull requests and releases
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.