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This page shows the Star History and the facts of 2 to 5 repositories in the Repository Index, side by side. You choose the repositories. The page does not rank them.
Facts
| Fact | yjxiong/temporal-segment-networks Code & Models for Temporal Segment Networks (TSN) in ECCV 2016 | MCG-NJU/VideoMAE [NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training |
|---|---|---|
| Stars | 1,579 | 1,816 |
| Net stars, last 30 days | +2 | +15 |
| Largest star day | +1 on May 15, 2026 | +3 on May 31, 2026 |
| Milestone reached in the record | None | None |
| Forks | 465 | 174 |
| Language | Python | Python |
| License | BSD-2-CLAUSE | Other license |
| Created | Jul 14, 2016 | Mar 23, 2022 |
| Last push | Oct 27, 2020 | Dec 8, 2023 |
| Archived | No | No |
| Health facts: Maintenance | 1 of 4 checks (2 without data) | 1 of 4 checks (2 without data) |
| Health facts: Releases | 0 of 3 checks (2 without data) | 0 of 3 checks (2 without data) |
| Health facts: Security practice | 0 of 1 check (1 without data) | 0 of 1 check (1 without data) |
| Health facts: Community files | 1 of 3 checks (2 without data) | 1 of 3 checks (2 without data) |
| Commits, last 13 weeks | No data | No data |
| Weeks with commits, last 52 | No data | No data |
| In the Repository Index since | Nov 12, 2026 | Nov 12, 2026 |
Topics that all of them have on the Repository Host: action-recognition, video-understanding. The facts come from the Repository Host and from the Star History that AwesomeRepos records. A shared topic does not mean that one repository can replace another. Each Health Facts row is one dimension alone. AwesomeRepos does not add them into one score. How each check is defined