A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

ELKI Data Mining Toolkit

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

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

Open-source framework to detect outliers in Elasticsearch events

2D Outlier Analysis using Shiny

RADseq Data Exploration, Manipulation and Visualization using R

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

Beyond Outlier Detection: LookOut for Pictorial Explanation

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

Genie: A new, fast, and outlier resistant hierarchical clustering algorithm

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

Image Mosaicing or Panorama Creation

An algorithm based on Java implementation, can automatically check the set of outliers in a set of data, eliminate these outliers, and finally get normal data.基于java实现的能够自动检查出一组数据中的异常值的集合，剔除这些异常集，得到正常数据。

Visualisation and Outliers Removal via Weka

Package implements a number local outlier factor algorithms for outlier detection and finding anomalous data

Dixon's Q Test calculator package for Dart

Deep Learning for Anomaly Deteection

A beginners tutorial for using Python for exploratory analyses

Anomaly detection algorithms implementations

Single Cell Outlier Selector - quickly find outliers in your single-cell data

Verified the robustness to outliers of Huber Loss with Hinge loss for classification over different datasets.

python package for handling nan's and outliers

Predicting disease spread, a DrivenData competition. I'am currently participating in this competition. I used it as submission for the second capstone project in the course 'Professional Certificate in Data Science' provided by Harvard University (HarvardX) on EDX.

Applied analysis on the Bayesian student-t "Robust" regression model with Jeffrey's prior. Compared its model performance and robustness of posterior distributions with the Gaussian model when outliers are present.

Clustering on gene expression array.