outlier-detection
There are 711 repositories under outlier-detection topic.
cleanlab/cleanlab
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
yzhao062/pyod
A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
yzhao062/anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
rob-med/awesome-TS-anomaly-detection
List of tools & datasets for anomaly detection on time-series data.
visual-layer/fastdup
fastdup is a powerful free tool designed to rapidly extract valuable insights from your image & video datasets. Assisting you to increase your dataset images & labels quality and reduce your data operations costs at an unparalleled scale.
JustGlowing/minisom
:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps
safe-graph/graph-fraud-detection-papers
A curated list of graph-based fraud, anomaly, and outlier detection papers & resources
datamllab/tods
TODS: An Automated Time-series Outlier Detection System
pygod-team/pygod
A Python Library for Graph Outlier Detection (Anomaly Detection)
Minqi824/ADBench
Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.
Jingkang50/OpenOOD
Benchmarking Generalized Out-of-Distribution Detection
elki-project/elki
ELKI Data Mining Toolkit
zillow/luminaire
Luminaire is a python package that provides ML driven solutions for monitoring time series data.
cerlymarco/tsmoothie
A python library for time-series smoothing and outlier detection in a vectorized way.
chaos-genius/chaos_genius
ML powered analytics engine for outlier detection and root cause analysis.
Renumics/awesome-open-data-centric-ai
Curated list of open source tooling for data-centric AI on unstructured data.
safe-graph/DGFraud
A Deep Graph-based Toolbox for Fraud Detection
Jingkang50/OODSurvey
The Official Repository for "Generalized OOD Detection: A Survey"
yzhao062/SUOD
(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection)
GuansongPang/ADRepository-Anomaly-detection-datasets
ADRepository: Real-world anomaly detection datasets, including tabular data (categorical and numerical data), time series data, graph data, image data, and video data.
xuhongzuo/DeepOD
Deep learning-based outlier/anomaly detection
vc1492a/PyNomaly
Anomaly detection using LoOP: Local Outlier Probabilities, a local density based outlier detection method providing an outlier score in the range of [0,1].
waico/SKAB
SKAB - Skoltech Anomaly Benchmark. Time-series data for evaluating Anomaly Detection algorithms.
ohirose/bcpd
Bayesian Coherent Point Drift (BCPD/BCPD++/GBCPD/GBCPD++)
datamllab/pyodds
An End-to-end Outlier Detection System
selimfirat/pysad
Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)
linkedin/isolation-forest
A Spark/Scala implementation of the isolation forest unsupervised outlier detection algorithm.
ExpediaGroup/adaptive-alerting
Anomaly detection for streaming time series, featuring automated model selection.
NVISOsecurity/ee-outliers
Open-source framework to detect outliers in Elasticsearch events
xuhongzuo/outlier-interpretation
(WWW'21) ATON - an Outlier Interpreation / Outlier explanation method
dvgodoy/handyspark
HandySpark - bringing pandas-like capabilities to Spark dataframes
david-cortes/isotree
(Python, R, C/C++) Isolation Forest and variations such as SCiForest and EIF, with some additions (outlier detection + similarity + NA imputation)
yzhao062/pytod
TOD: GPU-accelerated Outlier Detection via Tensor Operations
numaproj/numalogic
Collection of operational time series ML models and tools
DHI/tsod
Anomaly Detection for time series data
GuansongPang/deviation-network
Source code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised anomaly detection, few-shot anomaly detection, semi-supervised anomaly detection