SUOD
(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection)
315
41
Detecting anomalies and outliers
alibi-detect
Algorithms for outlier, adversarial and drift detection
1207
125
adtk
A Python toolkit for rule-based/unsupervised anomaly detection in time series
789
101
sf-gad
A statistical framework for graph anomaly detection.
1
0
deequ
Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.
2160
389
data-validation
Library for exploring and validating machine learning data
617
122
outlier-exposure
Deep Anomaly Detection with Outlier Exposure (ICLR 2019)
419
94
pyod
(JMLR' 19) A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)
5365
1051
dBoost
12
12