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A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
Created
2017-10-03
1,870 commits to master branch, last one 21 days ago
ELKI Data Mining Toolkit
Created
2015-03-04
10,473 commits to master branch, last one 26 days ago
🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams
Created
2018-10-20
266 commits to master branch, last one about a year ago
:link: Methods for Correlation Analysis
Created
2019-02-20
742 commits to main branch, last one about a month ago
Anomaly detection using LoOP: Local Outlier Probabilities, a local density based outlier detection method providing an outlier score in the range of [0,1].
Created
2017-05-19
203 commits to main branch, last one 4 days ago
pca: A Python Package for Principal Component Analysis.
Created
2020-01-11
450 commits to master branch, last one 6 months ago
Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)
Created
2020-06-05
217 commits to master branch, last one about a year ago
Open-source framework to detect outliers in Elasticsearch events
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Created
2018-12-11
1,690 commits to master branch, last one 2 years ago
Image Mosaicing or Panorama Creation
Created
2019-08-30
42 commits to master branch, last one 2 years ago
RADseq Data Exploration, Manipulation and Visualization using R
Created
2017-06-18
638 commits to master branch, last one 27 days ago
Deep Learning for Anomaly Deteection
Created
2020-01-31
103 commits to master branch, last one 3 years ago
Utility library for detecting and removing outliers from normally distributed datasets using the Smirnov-Grubbs test.
Created
2015-07-28
55 commits to main branch, last one about a year ago