Apple's protein folding suite under an MIT license
Python · active 2025-09-24 → 2026-04-05 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 194 days from 2025-09-24 to 2026-04-05. Pushes: 6 total, peak 2 in a day. Pull requests: 10 total, peak 3 in a day. Issues: 34 total, peak 3 in a day. Comments: 41 total, peak 5 in a day. Stars: 472 total, peak 126 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 |
|---|---|---|---|---|
| mbautistamartin | 30 | 3 | 6 | 8 |
| yuyangw | 19 | 3 | 1 | 13 |
| xinyuren-bio | 3 | 0 | 0 | 1 |
| Xinping-Liu | 3 | 0 | 0 | 3 |
| iamysk | 2 | 0 | 1 | 0 |
| drchristhorpe | 2 | 0 | 0 | 2 |
| avilella | 2 | 0 | 0 | 2 |
| ld9866 | 2 | 0 | 0 | 2 |
| kdh8156 | 2 | 0 | 0 | 0 |
| jimmymcheung | 2 | 0 | 0 | 2 |
| cthoyt | 2 | 0 | 0 | 1 |
| harijay | 1 | 0 | 0 | 1 |
| chenhy7820-del | 1 | 0 | 0 | 0 |
| Paulie-ai | 1 | 0 | 0 | 1 |
| oeztuerkmehmetali-del | 1 | 0 | 0 | 1 |
| Tlijun821 | 1 | 0 | 0 | 0 |
| adamrbentham | 1 | 0 | 0 | 0 |
| sterrettjd-idt | 1 | 0 | 1 | 0 |
| hyian113 | 1 | 0 | 0 | 0 |
| Aldrich-ux | 1 | 0 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- Issue comment#50yuyangw2026-02-28 02:20Training details
- Issue comment#50yuyangw2026-02-26 23:51Training details
- Issue#50mbautistamartin2026-02-24 00:36Training details
- Issue#49mbautistamartin2026-02-24 00:35Possible bug in `smooth_lddt_loss`: averaging `eps` over batch before masking
- Issue#49mbautistamartin2026-02-24 00:35Possible bug in `smooth_lddt_loss`: averaging `eps` over batch before masking
- Issue#50andrewliu20012026-02-23 09:10Training details
- Issue#49Aldrich-ux2026-02-19 06:01Possible bug in `smooth_lddt_loss`: averaging `eps` over batch before masking
- Issue comment#48mbautistamartin2026-01-22 20:59[Feature Request + Implementation] Batch Processing Support for CLI
- Issue comment#47mbautistamartin2026-01-22 20:57LICENSE of the output structure models
- Issue#48yuyangw2026-01-19 01:57[Feature Request + Implementation] Batch Processing Support for CLI
- Issue#48Nichts-fan2026-01-18 06:23[Feature Request + Implementation] Batch Processing Support for CLI
- Issue#47mbautistamartin2026-01-14 16:24LICENSE of the output structure models
- Issue#46chenhy7820-del2026-01-05 19:22Lack of plddt module checkpoints for other model sizes except 1.6B
- Issue#44mbautistamartin2026-01-02 09:09Training problem about simplefold
- Issue#43mbautistamartin2026-01-02 09:09Hardcoded PeptideL causes pipeline failure on Protein-DNA complexes (e.g. 3K5M)
- Issue comment#44yuyangw2025-12-31 12:22Training problem about simplefold
- Issue comment#44Paulie-ai2025-12-31 03:06Training problem about simplefold
- Issue comment#43yuyangw2025-12-31 02:57Hardcoded PeptideL causes pipeline failure on Protein-DNA complexes (e.g. 3K5M)
- Issue comment#32yuyangw2025-12-31 02:47How to get the benchmark dataset for evaluation ?
- Issue comment#32Xinping-Liu2025-12-26 09:39How to get the benchmark dataset for evaluation ?
- Issue comment#32Xinping-Liu2025-12-26 06:44How to get the benchmark dataset for evaluation ?
- Issue#43xinyuren-bio2025-12-24 11:01Hardcoded PeptideL causes pipeline failure on Protein-DNA complexes (e.g. 3K5M)
- Issue comment#32yuyangw2025-12-24 02:35How to get the benchmark dataset for evaluation ?
- Issue comment#32Xinping-Liu2025-12-23 03:07How to get the benchmark dataset for evaluation ?
- Issue#39kdh81562025-12-19 12:07Clarification on Parameter Freezing Logic
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 472 stars here means stars gained during the window, not the repo's star count.