Efficiently deploy a machine learning model using containerized environments with data versioning, training, and live inference capabilities. Includes reproducible pipelines, monitoring, logging, and infrastructure automation to ensure scalable and robust performance for ML applications.
active 2024-08-14 → 2024-10-29 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 77 days from 2024-08-14 to 2024-10-29. Pushes: 32 total, peak 8 in a day. Pull requests: 7 total, peak 2 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| Cpicon | 39 | 32 | 7 | 0 |
Recent activity
Latest issues, pull requests and releases
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.