anomaly-detection-tutorials

Learn time-series anomaly detection from z-scores to state-of-the-art deep models: runnable notebooks, honest evaluation, real-world case studies.

tutorial

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193 Stars

28 Forks

8 Watchers

Jupyter Notebook Language

mit License

100 SrcLog Score

Cost to Build

$66.3K

Market Value

$235.4K

How is this calculated?

Growth over time

11 data points · 2021-07-01 → 2026-08-01

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What is the JulienAu/anomaly-detection-tutorials GitHub project? Description: "Learn time-series anomaly detection from z-scores to state-of-the-art deep models: runnable notebooks, honest evaluation, real-world case studies.". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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