I read SCI papers, but there are about 90 millions papers, and in CS area there are 2.8million papers. So I decide to read according to best paper ranking like this https://jeffhuang.com/best_paper_awards/. However I still read some trash. So I hope there is a database like IMDB , douban. But unfortunately there are not. So I decide to start myself
active 2023-10-23 → 2023-10-24 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 2 days from 2023-10-23 to 2023-10-24. Pushes: 2 total, peak 1 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: 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 |
|---|---|---|---|---|
| NoMatter-98 | 2 | 2 | 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 — 1 stars here means stars gained during the window, not the repo's star count.