Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]
active 2023-10-05 → 2024-11-25 (UTC)
Complete coverage26,338 / 26,338 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-08-16 (UTC)
Events
11
Pushes
0
Pull requests
3
Issues
0
Stars
5
Forks
2
Activity over time
Daily event counts in the loaded window
Line chart, 418 days from 2023-10-05 to 2024-11-25. Pushes: 0 total, peak 0 in a day. Pull requests: 3 total, peak 2 in a day. Issues: 0 total, peak 0 in a day. Comments: 1 total, peak 1 in a day. Stars: 5 total, peak 1 in a day.
- Pushes
- Pull requests
- Issues
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- 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 |
|---|---|---|---|---|
| georgemilosh | 4 | 0 | 3 | 1 |
Recent activity
Latest issues, pull requests and releases
- Pull request#11georgemilosh2024-02-13 07:13
- Pull request#11georgemilosh2024-02-13 07:13
- Pull request#11georgemilosh2023-10-22 11:47
- Issue comment#9georgemilosh2023-10-05 09:46About Training Burgers ? I wonder why the coef won't be trained during the second call of train (train without L1)
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 5 stars here means stars gained during the window, not the repo's star count.