Implementation of Influence Function approximations for differently sized ML models, using PyTorch
active 2023-09-13 → 2024-12-03 (UTC)
Complete coverage26,438 / 26,438 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-08-20 (UTC)
Events
37
Pushes
11
Pull requests
0
Issues
2
Stars
16
Forks
3
Activity over time
Daily event counts in the loaded window
Line chart, 448 days from 2023-09-13 to 2024-12-03. Pushes: 11 total, peak 6 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 2 total, peak 1 in a day. Comments: 2 total, peak 1 in a day. Stars: 16 total, peak 2 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 |
|---|---|---|---|---|
| nrimsky | 12 | 11 | 0 | 1 |
| huutiendang | 2 | 0 | 0 | 1 |
| OngWinKent | 1 | 0 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- Issue#2OngWinKent2023-12-28 04:31Implementation of CNN
- Issue comment#1huutiendang2023-10-13 15:17implementation of Proximal Bregman Response Function w.r.t the linear layer of the BERT model
- Issue comment#1nrimsky2023-10-12 16:25implementation of Proximal Bregman Response Function w.r.t the linear layer of the BERT model
- Issue#1huutiendang2023-10-07 17:35implementation of Proximal Bregman Response Function w.r.t the linear layer of BERT model
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 16 stars here means stars gained during the window, not the repo's star count.