This repository offers a collection of Python notebooks that dive into the PyTorch library and deep learning concepts. Topics include tensors, data manipulation, neural networks, CNNs, RNNs, transfer learning, autoencoders, GANs, and model deployment. Ideal for beginners and experienced practitioners seeking hands-on learning.
active 2024-09-13 → 2024-09-15 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 3 days from 2024-09-13 to 2024-09-15. Pushes: 4 total, peak 2 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 |
|---|---|---|---|---|
| Ahmed-Ezzat20 | 5 | 4 | 1 | 0 |
| almomua | 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.