Traditional Machine Learning Models for Large-Scale Datasets in PyTorch.
active 2023-08-15 → 2026-02-23 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 924 days from 2023-08-15 to 2026-02-23. Pushes: 57 total, peak 1 in a day. Pull requests: 3 total, peak 1 in a day. Issues: 4 total, peak 1 in a day. Comments: 12 total, peak 2 in a day. Stars: 31 total, peak 1 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 |
|---|---|---|---|---|
| pre-commit-ci[bot] | 56 | 56 | 0 | 0 |
| hashim19 | 3 | 0 | 0 | 2 |
| EvenStrangest | 3 | 0 | 1 | 2 |
| borchero | 2 | 0 | 0 | 2 |
| epbsb | 2 | 0 | 0 | 2 |
| tenk-9 | 2 | 0 | 1 | 0 |
| AndreasGerken | 2 | 0 | 0 | 2 |
| pcbua | 1 | 0 | 0 | 1 |
| zhiwei-liang | 1 | 0 | 0 | 0 |
| ogencoglu | 1 | 0 | 0 | 0 |
| machichima | 1 | 0 | 0 | 1 |
| marcovarrone | 1 | 0 | 1 | 0 |
Recent activity
Latest issues, pull requests and releases
- Issue comment#62machichima2025-05-09 04:27Is this library maintained?
- Issue comment#62borchero2025-02-15 23:13Is this library maintained?
- Issue#62ogencoglu2025-02-04 09:45Is this library maintained?
- Issue comment#25pcbua2025-01-20 21:27Diagonal/spherical covariance GMMs have no covariance variable
- Issue comment#61EvenStrangest2024-09-28 03:18Allow pytorch 2.0 & pytorch-lightning 2.0 (changes via Copilot Workspace)
- Issue comment#61EvenStrangest2024-09-28 02:58Allow pytorch 2.0 & pytorch-lightning 2.0 via Copilot Workspace
- Pull request#61EvenStrangest2024-09-28 02:55
- Pull request#60tenk-92024-07-02 08:28
- Issue#59tenk-92024-06-17 12:31RuntimeError (type mismatch) when double-precision GMM training
- Issue comment#13AndreasGerken2024-04-26 09:39How can i disable model output prints during fit_preditct?
- Issue comment#54AndreasGerken2024-04-18 12:08Allow pytorch 2.0 & pytorch-lightning 2.0
- Pull request#58marcovarrone2024-01-24 12:13
- Issue comment#56hashim192024-01-10 17:32nll is nan in training
- Issue#57hashim192024-01-02 23:58GMM Training with Mini-Batch
- Issue comment#51hashim192024-01-02 21:58GMM with Mini-Batches
- Issue#56zhiwei-liang2023-11-20 10:49nll is nan in training
- Issue comment#54borchero2023-10-25 09:59Allow pytorch 2.0 & pytorch-lightning 2.0
- Issue comment#55epbsb2023-09-21 17:54GPU memory leak.
- Issue comment#55epbsb2023-08-15 12:36GPU memory leak.
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 31 stars here means stars gained during the window, not the repo's star count.