LSTM Anomaly Detection Pipeline This project implements a pipeline for anomaly detection using an LSTM-based model. It fetches time-series metrics from a Prometheus server, preprocesses the data, and prepares it for machine learning tasks. The pipeline includes configurations for data fetching, model training, and deployment.
active 2025-01-02 → 2025-01-02 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2025-01-02 to 2025-01-02. Pushes: 9 total, peak 9 in a day. Pull requests: 6 total, peak 6 in a day. Issues: 0 total, peak 0 in a day. Comments: 1 total, peak 1 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 |
|---|---|---|---|---|
| LMathew2001 | 16 | 9 | 6 | 1 |
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.