ML model library for TrainDB
active 2023-08-22 → 2024-12-18 (UTC)
Complete coverage26,433 / 26,433 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-08-20 (UTC)
Events
115
Pushes
55
Pull requests
13
Issues
2
Stars
31
Forks
1
Activity over time
Daily event counts in the loaded window
Line chart, 485 days from 2023-08-22 to 2024-12-18. Pushes: 55 total, peak 5 in a day. Pull requests: 13 total, peak 6 in a day. Issues: 2 total, peak 2 in a day. Comments: 2 total, peak 1 in a day. Stars: 31 total, peak 20 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 |
|---|---|---|---|---|
| taewhi | 45 | 43 | 1 | 1 |
| kihyuk-nam | 12 | 3 | 6 | 1 |
| sungsoo | 9 | 3 | 6 | 0 |
| JiWonOck | 6 | 6 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- Releasetaewhi2024-12-18 07:25TrainDB ML Model Library v3.0
- Pull request#16sungsoo2024-10-10 04:39
- Pull request#16sungsoo2024-10-10 04:39
- Pull request#15sungsoo2024-10-10 04:36
- Pull request#15sungsoo2024-10-10 04:35
- Pull request#14sungsoo2024-10-10 04:28
- Pull request#14sungsoo2024-10-10 04:27
- Releasetaewhi2023-12-21 07:29TrainDB ML Model Library v2.0
- Releasetaewhi2023-12-13 05:15TrainDB ML Model Library v2.0
- Pull request#13kihyuk-nam2023-11-23 02:31
- Pull request#13kihyuk-nam2023-11-23 02:30
- Pull request#12kihyuk-nam2023-10-19 13:08
- Issue comment#3kihyuk-nam2023-10-19 13:08Fix. RSPN
- Issue#4kihyuk-nam2023-10-19 13:06RSPN Training Problems
- Issue#3kihyuk-nam2023-10-19 13:04Fix. RSPN
- Pull request#12kihyuk-nam2023-10-19 10:45
- Pull request#11taewhi2023-09-26 10:33
- Issue comment#10taewhi2023-09-12 06:25add list_hyperparameters() in RSPN.py
- Pull request#10kihyuk-nam2023-09-12 02:18
- Pull request#10kihyuk-nam2023-09-11 13:28
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 31 stars here means stars gained during the window, not the repo's star count.