Mini Deep Learning framework using jax as backend for weight optimization, supports gradient tracking on custom parameters to empower extendability.
active 2024-02-20 → 2024-02-22 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 3 days from 2024-02-20 to 2024-02-22. Pushes: 17 total, peak 11 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 2 total, peak 1 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 |
|---|---|---|---|---|
| ArunDtej | 19 | 17 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- Issue#2ArunDtej2024-02-21 13:00Correcting CategoricalCrossentropy Loss and verfying other losses
- Issue#1ArunDtej2024-02-20 17:56Implementing support for @jax.jit compilation ( Just In Time)
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.