# JulienAu/anomaly-detection-tutorials

<https://repo.masters-masters.com/en/repos/JulienAu/anomaly-detection-tutorials>

[Home](https://repo.masters-masters.com/en) › [JulienAu](https://repo.masters-masters.com/en/owners/JulienAu) › [anomaly-detection-tutorials](https://repo.masters-masters.com/en/repos/JulienAu/anomaly-detection-tutorials)

JulienAu/anomaly-detection-tutorials has 197 stars on GitHub. Its RepoMasters card: Prototype tier. Learn time-series anomaly detection from z-scores to…

| Field | Value |
| --- | --- |
| Owner | [JulienAu](https://repo.masters-masters.com/en/owners/JulienAu) |
| Stars | 197 |
| Forks | 30 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2019 |
| Topics | auto-encoder, tutorial, deeplearning, anomaly, detection, time-series, anomalydetection |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [JulienAu/anomaly-detection-tutorials](https://github.com/JulienAu/anomaly-detection-tutorials) |

## Repository

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

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.