outliers

A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)

ELKI Data Mining Toolkit

🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams

🔗 Methods for Correlation Analysis

Anomaly detection using LoOP: Local Outlier Probabilities, a local density based outlier detection method providing an outlier score in the range of [0,1].

pca: A Python Package for Principal Component Analysis.

Open-source framework to detect outliers in Elasticsearch events

Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)

Deep Learning for Anomaly Deteection

RADseq Data Exploration, Manipulation and Visualization using R

Utility library for detecting and removing outliers from normally distributed datasets using the Smirnov-Grubbs test.

Image Mosaicing or Panorama Creation

2D Outlier Analysis using Shiny

Mean Absolute Error Does Not Treat Examples Equally and Gradient Magnitude’s Variance Matters

Beyond Outlier Detection: LookOut for Pictorial Explanation

An implementation of Isolation forest

Genie: A Fast and Robust Hierarchical Clustering Algorithm (this R package has now been superseded by genieclust)

Imputation of Financial Time Series with Missing Values and/or Outliers

A MATLAB function for robust non-linear least squares

Mean and Covariance Matrix Estimation under Heavy Tails