Implemented the Transformer model from scratch using NumPy, replicating the "Attention Is All You Need" architecture. Later, I ported it to PyTorch for efficient GPU-accelerated training. This project was done as a learning challenge to deeply understand self-attention, multi-head attention, and the inner workings of Transformers.
active 2025-03-04 → 2025-03-04 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2025-03-04 to 2025-03-04. Pushes: 5 total, peak 5 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 |
|---|---|---|---|---|
| iDharshan | 5 | 5 | 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.