LibML is a library for loading, configuring, and running machine learning models in production. It provides a simple high-level API for C++ applications. LibML uses TensorFlow with XNNPACK acceleration for low latency inference.
active 2024-02-20 → 2026-04-08 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 779 days from 2024-02-20 to 2026-04-08. Pushes: 2 total, peak 1 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 2 total, peak 1 in a day. Comments: 2 total, peak 1 in a day. Stars: 11 total, peak 2 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 |
|---|---|---|---|---|
| Priyanka-Gurudev | 2 | 2 | 0 | 0 |
| ssam18 | 1 | 0 | 0 | 1 |
| GimmickNG | 1 | 0 | 0 | 0 |
| Bl4omArchie | 1 | 0 | 0 | 1 |
| andreisilvasantos | 1 | 0 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- Issue comment#3ssam182026-04-08 22:23Does libml use only CPU or can it use GPU as well?
- ReleasePriyanka-Gurudev2025-03-12 20:29LibML v2.0.0
- Issue#3GimmickNG2024-12-11 07:52Does libml use only CPU or can it use GPU as well?
- ReleasePriyanka-Gurudev2024-07-30 20:21LibML v1.1.0
- Issue comment#1Bl4omArchie2024-06-13 20:03More details about using the library
- Issue#1andreisilvasantos2024-04-23 14:32More details about using the library
- ReleasePriyanka-Gurudev2024-03-25 18:02LibML v1.0.1
- Releasestechew2024-02-20 20:37LibML v1.0.0
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 11 stars here means stars gained during the window, not the repo's star count.