Orion
Unsupervised time series anomaly detection library
About
Orion is designed for unsupervised time series anomaly detection, providing verified machine learning pipelines to identify rare patterns in time series data. It utilizes automated machine learning tools developed by the Data to AI Lab at MIT. The library is suitable for data scientists and researchers looking to analyze time series data for anomalies.
Open Source Health
- Stars
- 1,369
- Forks
- 208
- License
- MIT
- Last commit
- 1 months ago
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The Signal Intelligence Project
Systems and tools to design, develop and deploy AI applications on top of signals
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