Feather - Lightweight supervised slide foundation models (ICML 2025)
active 2025-06-11 → 2026-04-21 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 315 days from 2025-06-11 to 2026-04-21. Pushes: 17 total, peak 4 in a day. Pull requests: 14 total, peak 5 in a day. Issues: 15 total, peak 2 in a day. Comments: 11 total, peak 2 in a day. Stars: 77 total, peak 8 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 |
|---|---|---|---|---|
| danielshaowers | 21 | 13 | 2 | 2 |
| andrewsong90 | 11 | 4 | 0 | 4 |
| GabrielCabas | 7 | 0 | 6 | 0 |
| IsaacHook | 4 | 0 | 4 | 0 |
| bryanwong17 | 4 | 0 | 0 | 2 |
| farhatnadim | 3 | 0 | 2 | 1 |
| huo-yan-nan-hai | 3 | 0 | 0 | 0 |
| NielsRogge | 1 | 0 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- Pull request#26farhatnadim2026-03-14 19:07
- Pull request#25GabrielCabas2026-02-05 03:40
- Pull request#19GabrielCabas2026-01-25 18:28
- Issue comment#21farhatnadim2026-01-25 15:48Taking predefined split
- Pull request#21farhatnadim2026-01-25 15:48
- Pull request#19GabrielCabas2026-01-17 00:10
- Pull request#18GabrielCabas2026-01-01 17:18
- Pull request#18GabrielCabas2025-12-31 22:50
- Pull request#17GabrielCabas2025-12-31 22:31
- Issue#16GabrielCabas2025-12-29 16:32Question about regression tasks
- Issue comment#15bryanwong172025-09-07 04:43Question: Are the pre-trained models only available for ABMIL?
- Issue comment#15bryanwong172025-09-07 04:03Question: Are the pre-trained models only available for ABMIL?
- Issue comment#15andrewsong902025-08-30 00:22Question: Are the pre-trained models only available for ABMIL?
- Issue#15andrewsong902025-08-30 00:22Question: Are the pre-trained models only available for ABMIL?
- Issue#15bryanwong172025-08-25 05:12Question: Are the pre-trained models only available for ABMIL?
- Issue#14andrewsong902025-08-13 13:25Question: Zero-shot using the pre-trained MIL
- Issue#14bryanwong172025-08-09 08:36Question: Zero-shot using the pre-trained MIL
- Issue#13danielshaowers2025-07-29 04:01Quick question about batched inputs in MIL
- Issue comment#13danielshaowers2025-07-29 04:01Quick question about batched inputs in MIL
- Pull request#12IsaacHook2025-07-28 17:00
- Pull request#12IsaacHook2025-07-28 16:45
- Pull request#11IsaacHook2025-07-28 16:40
- Pull request#11IsaacHook2025-07-28 16:40
- Issue comment#9danielshaowers2025-07-28 15:35There is a possible error in /src/builders/ModelDict.py
- Issue#9danielshaowers2025-07-28 15:35There is a possible error in /src/builders/ModelDict.py
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 77 stars here means stars gained during the window, not the repo's star count.