Python · active 2024-08-14 → 2026-03-24 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 588 days from 2024-08-14 to 2026-03-24. Pushes: 14 total, peak 5 in a day. Pull requests: 7 total, peak 2 in a day. Issues: 11 total, peak 2 in a day. Comments: 15 total, peak 4 in a day. Stars: 67 total, peak 10 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 |
|---|---|---|---|---|
| scopello | 30 | 14 | 7 | 6 |
| hoangcadle | 4 | 0 | 0 | 2 |
| mcn3159 | 3 | 0 | 0 | 2 |
| seyonechithrananda | 3 | 0 | 0 | 2 |
| jolespin | 2 | 0 | 0 | 1 |
| sokrypton | 2 | 0 | 0 | 2 |
| wconnell | 1 | 0 | 0 | 0 |
| nstjhp | 1 | 0 | 0 | 0 |
| marioernestovaldes | 1 | 0 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- Issue comment#13mcn31592026-02-11 20:25Last hidden layer embeddings contain nans on colab
- Issue comment#13scopello2026-02-11 18:19Last hidden layer embeddings contain nans on colab
- Issue comment#12mcn31592026-02-11 03:54Creating context-only gLM2 embeddings
- Issue#13mcn31592026-02-11 03:53Last hidden layer embeddings contain nans on colab
- Issue comment#11jolespin2025-08-18 17:13[Question] - Recommendations on usage for ASVs?
- Issue comment#11scopello2025-08-15 01:19[Question] - Recommendations on usage for ASVs?
- Issue#11jolespin2025-08-12 15:56[Question] - Recommendations on usage for ASVs?
- Issue#10nstjhp2025-05-09 11:39how to re-train on a different dataset?
- Issue#9hoangcadle2025-03-05 16:23how calculate categorical jacobian for DNA models like Evo
- Issue comment#9hoangcadle2025-03-05 16:23how calculate categorical jacobian for DNA models like Evo
- Issue comment#9sokrypton2025-03-05 06:20how calculate categorical jacobian for DNA models like Evo
- Issue comment#9sokrypton2025-03-05 03:40how calculate categorical jacobian for DNA models like Evo
- Issue comment#9hoangcadle2025-03-05 03:22how calculate categorical jacobian for DNA models like Evo
- Issue comment#9scopello2025-02-21 18:49how calculate categorical jacobian for DNA models like Evo
- Issue#9hoangcadle2025-02-19 15:54how calculate categorical jacobian for DNA models like Evo
- Issue#8scopello2025-01-30 15:30calculate embeddings for several proteins with the new model gLM2
- Issue#8marioernestovaldes2025-01-30 08:52calculate embeddings for several proteins with the new model gLM2
- Issue comment#7scopello2024-12-15 22:21how to extract batched embeddings with gLM2?
- Issue comment#7seyonechithrananda2024-12-14 20:19how to extract batched embeddings with gLM2?
- Issue comment#7seyonechithrananda2024-12-14 20:03how to extract batched embeddings with gLM2?
- Issue comment#7scopello2024-12-13 16:31how to extract batched embeddings with gLM2?
- Issue#7seyonechithrananda2024-12-11 04:30how to extract batched embeddings with gLM2?
- Issue#5scopello2024-10-07 14:01how are contigs sampled for training?
- Pull request#6scopello2024-10-07 13:55
- Pull request#6scopello2024-10-07 13:55
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 67 stars here means stars gained during the window, not the repo's star count.