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JulienAu/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.

#Learning resources
Visit GitHub
Jupyter Notebook
196
29
1 contributors
MIT License
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How fast JulienAu/anomaly-detection-tutorials is gaining stars, and where it lands on Trendshift and GitHub Trending

Activity and trending

Stars, forks and merged pull requests each day or month, lined up with the repository's rank on Trendshift Trending

Aug 24 – Oct 19, 2026

Stars +3 in 57 days

01
1

Forks +1 in 57 days

01
1

Merged PRs 0 in 57 days

01

Trendshift Trendingwhere the repository ranked each day it made the top 25

Not in the Trendshift top 25 in this period

Aug 24Sep 1Sep 9Sep 17Sep 25Oct 3Oct 11Oct 19
The left and right arrow keys step from day to day; Home and End go to the first and the last

Stars, forks, merged pull requests and Trendshift Trending rank, by day
DayStars gainedForks gainedMerged PRs
Mon, Aug 24, 2026+1+00
Tue, Aug 25, 2026+1+00
Wed, Aug 26, 2026+0+00
Thu, Aug 27, 2026+0+00
Fri, Aug 28, 2026+0+00
Sat, Aug 29, 2026+0+00
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Tue, Sep 1, 2026+0+00
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Fri, Sep 11, 2026+0+00
Sat, Sep 12, 2026+0+00
Sun, Sep 13, 2026+0+00
Mon, Sep 14, 2026+0+00
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Wed, Sep 16, 2026+0+00
Thu, Sep 17, 2026+0+00
Fri, Sep 18, 2026+0+00
Sat, Sep 19, 2026+0+00
Sun, Sep 20, 2026+1+00
Mon, Sep 21, 2026+0+00
Tue, Sep 22, 2026+0+00
Wed, Sep 23, 2026+0+00
Thu, Sep 24, 2026+0+00
Fri, Sep 25, 2026+0+10
Sat, Sep 26, 2026+0+00
Sun, Sep 27, 2026+0+00
Mon, Sep 28, 2026+0+00
Tue, Sep 29, 2026+0+00
Wed, Sep 30, 2026+0+00
Thu, Oct 1, 2026+0+00
Fri, Oct 2, 2026+0+00
Sat, Oct 3, 2026+0+00
Sun, Oct 4, 2026+0+00
Mon, Oct 5, 2026+0+00
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Wed, Oct 7, 2026+0+00
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Fri, Oct 9, 2026+0+00
Sat, Oct 10, 2026+0+00
Sun, Oct 11, 2026+0+00
Mon, Oct 12, 2026+0+00
Tue, Oct 13, 2026+0+00
Wed, Oct 14, 2026+0+00
Thu, Oct 15, 2026+0+00
Fri, Oct 16, 2026+0+00
Sat, Oct 17, 2026+0+00
Sun, Oct 18, 2026+0+00
Mon, Oct 19, 2026+0+00
Total+3+10
  • 1#1 on the list
  • 7Rank that day
  • Not trending

Social mentions

Recent discussions about this repository across the web
  1. Aug 131 post

    • New series: walking through my 14-notebook path on time series anomaly detection, one method per post. #1 starts in 1990: a plain seasonal-residual z-score. No training, done by hand, yet it catches…

      Read full on X, posted by @julien_audibert

      @julien_audibert · x.com

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