Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.
active 2023-08-15 → 2026-06-12 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1033 days from 2023-08-15 to 2026-06-12. Pushes: 9 total, peak 3 in a day. Pull requests: 10 total, peak 3 in a day. Issues: 19 total, peak 3 in a day. Comments: 33 total, peak 8 in a day. Stars: 171 total, peak 4 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 |
|---|---|---|---|---|
| setuc | 28 | 0 | 4 | 16 |
| github-merge-queue[bot] | 8 | 8 | 0 | 0 |
| strugdt | 5 | 0 | 0 | 3 |
| bgawale | 4 | 0 | 0 | 2 |
| kunanba | 4 | 0 | 0 | 2 |
| gallogiulia | 4 | 0 | 3 | 0 |
| jianawu | 3 | 0 | 0 | 2 |
| Acer1899 | 2 | 0 | 0 | 1 |
| mahalaxminanya | 2 | 1 | 0 | 0 |
| shishirdash24 | 2 | 0 | 0 | 2 |
| robert4os | 1 | 0 | 0 | 1 |
| murali513 | 1 | 0 | 0 | 1 |
| kevball2 | 1 | 0 | 0 | 1 |
| WiktorMadejski | 1 | 0 | 0 | 0 |
| jalalkhan001 | 1 | 0 | 1 | 0 |
| shoresh57 | 1 | 0 | 0 | 0 |
| rajesh-chawla | 1 | 0 | 0 | 0 |
| HoussemDellai | 1 | 0 | 1 | 0 |
| prk2331 | 1 | 0 | 0 | 0 |
| rod2k24 | 1 | 0 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- Issue#144rod2k242026-05-14 22:57initialise_repo.sh fails due to inconsistent path assumptions in Azure DevOps multi-repo checkout
- Pull request#143pgabriel-012026-05-06 18:07
- Pull request#132setuc2025-09-09 23:59
- Issue comment#135HiImVINK2025-03-21 08:08Issues when running the training pipeline
- Issue comment#135Acer18992025-03-06 07:01Issues when running the training pipeline
- Issue comment#135setuc2025-03-06 02:41Issues when running the training pipeline
- Issue#135Acer18992025-03-05 14:48Issues when running the training pipeline
- Pull request#134jalalkhan0012025-02-13 10:28
- Issue#133rajesh-chawla2024-11-24 14:02Missing permissions to run pipeline
- Pull request#132HoussemDellai2024-11-15 07:42
- Issue#131prk23312024-10-11 18:32How to get complete job detail with each task detail, like metrics, etc., inside the pipeline
- Issue comment#129robert4os2024-09-12 15:50several issue
- Issue#129shoresh572024-09-06 08:21several issue
- Issue comment#128shishirdash242024-08-16 08:13Install AZ ML dependencies step is failing during deploy-model-training-pipeline.yml execution
- Issue comment#128murali5132024-08-16 07:52Install AZ ML dependencies step is failing during deploy-model-training-pipeline.yml execution
- Issue comment#128setuc2024-07-26 10:55Install AZ ML dependencies step is failing during deploy-model-training-pipeline.yml execution
- Issue comment#128shishirdash242024-07-26 10:11Install AZ ML dependencies step is failing during deploy-model-training-pipeline.yml execution
- Pull request#126setuc2024-04-19 03:44
- Issue#51setuc2024-04-18 00:36GitHub Actions instead of DevOps
- Issue comment#123setuc2024-04-18 00:35Model Training ADO pipeline FAILS after over an hour
- Issue#123setuc2024-04-18 00:35Model Training ADO pipeline FAILS after over an hour
- Issue comment#124setuc2024-04-18 00:34For free/VS MCT subscriptions vcore quota limit of 6 in eastus causes endpoint deployment failure
- Issue#124setuc2024-04-18 00:34For free/VS MCT subscriptions vcore quota limit of 6 in eastus causes endpoint deployment failure
- Pull request#125setuc2024-04-17 23:00
- Issue comment#122setuc2024-02-26 03:24Any support or suggestion of initializing a ML repo with your codes locally and create related pipelines?
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 171 stars here means stars gained during the window, not the repo's star count.