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Top 23 outlier-detection open source projects

Awesome Ts Anomaly Detection

List of tools & datasets for anomaly detection on time-series data.

✭ 2,027

machine-learning awesome-list data-analysis time-series data-mining anomaly-detection outlier-detection temporal-data

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

✭ 5,083

python Jupyter Notebook deep-learning machine-learning data-science neural-networks data-analysis data-mining unsupervised-learning anomaly-detection autoencoder outliers outlier-detection anomaly fraud-detection outlier-ensembles

Anomaly Detection Resources

Anomaly detection related books, papers, videos, and toolboxes

✭ 5,306

python awesome awesome-list data-mining anomaly-detection time-series-analysis outlier-detection outlier outlier-ensembles

Credit-Risk-Analysis

No description or website provided.

✭ 29

Jupyter Notebook machine-learning sklearn machine-learning-algorithms outlier-detection feature-engineering credit-scoring

(Python, R, C++) Explainable outlier/anomaly detection through decision tree conditioning

✭ 40

C++python r cython M4 outlier-detection anomaly-detection

Fairness regulator and rate limiter

✭ 49

erlang Makefile rate-limiting outlier-detection fairness

Supplementary material for KDD 2018 workshop "DCSO: Dynamic Combination of Detector Scores for Outlier Ensembles"

✭ 20

python outlier-detection anomaly-detection outlier-ensembles

Arduino library for identifying outliers with a Hampel filter

✭ 26

C++arduino arduino-library outlier-detection hampel-filter

ADRepository-Anomaly-detection-datasets

ADRepository: Real-world anomaly detection datasets

✭ 77

dataset outlier-detection anomaly-detection novelty-detection

VisualQC : assistive tool to ease the quality control workflow of neuroimaging data.

✭ 56

python quality-control neuroscience medical-imaging registration alignment neuroimaging outlier-detection fmri mri-images cortex qc outlier-removal anatomical-mri freesurfer

TotalLeastSquares.jl

Solve many kinds of least-squares and matrix-recovery problems

✭ 23

julia linear-regression estimation least-squares imputation outlier-detection missing-data matrix-completion robust-pca singular-value-decomposition least-square-regression nonnegative-matrix-factorization robust-regresssion total-least-square robust-estimation robust-statistics errors-in-variables missing-data-imputation

deviation-network

Source code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised anomaly detection, few-shot anomaly detection

✭ 94

python deep-learning semi-supervised-learning outlier-detection weakly-supervised-learning anomaly-detection few-shot-learning

prescription-outliers

DDC-Outlier: Preventing medication errors using unsupervised learning

✭ 18

Jupyter Notebook outlier-detection unsupervised-learning prescription-errors

A parallel implementation of local outlier factor based on Spark

✭ 16

scala machine-learning spark outlier-detection local-outlier-factor

outlier-detection-grubbs-test-and-generalized-esd-test-python

Repository for detecting outliers using Grubb's Threshold & Generalized Extreme Studentized Deviate (ESD) Test

✭ 20

Jupyter Notebook video outlier-detection esd grubbs-test generalized-esd-test

RobustModels.jl

A Julia package for robust regressions using M-estimators and quantile regressions

✭ 18

julia julia-language outlier-detection ridge-regression quantile-regression expectile-regression robust-regression outlier-rejection m-estimator mm-estimator s-estimator tau-estimator mquantile-regression

Supplementary material for IJCNN paper "XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning"

✭ 59

python outlier-detection anomaly-detection semi-supervised outlier-ensembles

deviation-network-image

Official PyTorch implementation of the paper “Explainable Deep Few-shot Anomaly Detection with Deviation Networks”, weakly/partially supervised anomaly detection, few-shot anomaly detection, image defect detection.

✭ 47

python deep-learning outlier-detection anomaly-detection

A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X

✭ 84

python security machine-learning opensource graph-algorithms toolkit datascience outlier-detection fraud-prevention spam-detection datamining yelp-dataset fraud-detection security-tools financial-engineering anomaly-detection dblp-dataset graphneuralnetwork

TOD: GPU-accelerated Outlier Detection via Tensor Operations

✭ 131

python machine-learning gpu-acceleration outlier-detection unsupervised-learning anomaly-detection gpu-systems

f anogan pytorch

Code for reproducing f-AnoGAN in Pytorch

✭ 28

python shell generative-adversarial-network outlier-detection anomaly-detection

Main component extraction for outlier detection

✭ 17

Jupyter Notebook python outlier-detection anomaly unsupervised-learning anomalydetection drama anomaly-detection

A scikit-learn compatible library for anomaly detection

✭ 36

python data-science machine-learning data-mining statistics scikit-learn outlier-detection anomaly-detection novelty-detection one-class-classification

1-23 of 23 outlier-detection projects