active 2023-08-18 → 2025-10-24 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 799 days from 2023-08-18 to 2025-10-24. Pushes: 11 total, peak 10 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 15 total, peak 4 in a day. Comments: 9 total, peak 5 in a day. Stars: 86 total, peak 3 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| hhb072 | 24 | 11 | 0 | 7 |
| ioanstag1 | 4 | 0 | 0 | 0 |
| Zhaoyi-Yan | 2 | 0 | 0 | 0 |
| chamely | 1 | 0 | 0 | 0 |
| lscalala | 1 | 0 | 0 | 1 |
| LiJichen0114 | 1 | 0 | 0 | 0 |
| 245534531 | 1 | 0 | 0 | 0 |
| WangJunjie97 | 1 | 0 | 0 | 1 |
Recent activity
Latest issues, pull requests and releases
- Issue#11chamely2025-05-01 00:40STViT-Small training does not reach reported accuracy
- Issue#10LiJichen01142024-11-06 06:23What the conda environment of the model is?
- Issue#9ioanstag12024-08-19 10:32Embedding type
- Issue#9ioanstag12024-08-19 10:32Embedding type
- Issue#9ioanstag12024-08-19 10:32Embedding type
- Issue#9ioanstag12024-08-14 10:43Embedding type
- Issue#8hhb0722024-07-22 08:05How to get the learned superpixel tokens?
- Issue#7hhb0722024-06-25 02:34数据集
- Issue comment#8hhb0722024-06-25 02:33How to get the learned superpixel tokens?
- Issue#8Zhaoyi-Yan2024-06-24 14:15How to get the learned superpixel tokens?
- Issue comment#7hhb0722024-05-24 08:41数据集
- Issue#72455345312024-05-24 08:30数据集
- Issue#5hhb0722023-12-07 08:56Expect pretrained weights
- Issue#3hhb0722023-12-07 08:56pre-trained model.
- Issue#2hhb0722023-12-07 08:56Request for visualization code to plot learned super tokens (Figure 4)
- Issue#4hhb0722023-12-07 08:56whether need modify the params of model when turn resolution from 224 to 384?
- Issue comment#2hhb0722023-11-30 14:24Request for visualization code to plot learned super tokens (Figure 4)
- Issue comment#3hhb0722023-11-30 14:06pre-trained model.
- Issue comment#4hhb0722023-11-30 14:06whether need modify the params of model when turn resolution from 224 to 384?
- Issue comment#5hhb0722023-11-30 14:04Expect pretrained weights
- Issue comment#6hhb0722023-11-30 14:03Loss is NaN when running
- Issue comment#6lscalala2023-11-28 10:44Loss is NaN when running
- Issue comment#6WangJunjie972023-11-24 09:12Loss is NaN when running
- Issue#6Zhaoyi-Yan2023-11-18 01:22Loss is NaN when running
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 86 stars here means stars gained during the window, not the repo's star count.