Algorithms for outlier, adversarial and drift detection
#计算机科学#A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
翻译 - 用于可扩展离群值检测(异常检测)的Python工具箱
#计算机科学#A Python Library for Graph Outlier Detection (Anomaly Detection)
TODS: An Automated Time-series Outlier Detection System
GAAL-based Outlier Detection
Deep Anomaly Detection with Outlier Exposure (ICLR 2019)
Deep learning-based outlier/anomaly detection
A curated list of graph-based fraud, anomaly, and outlier detection papers & resources
An End-to-end Outlier Detection System
Deep distance-based outlier detection published in KDD18: Learning representations specifically for distance-based outlier detection. Few-shot outlier detection
Deep Graph Outlier Detection
Trajectory Outlier Detection Library
Outlier detection for categorical data
Outlier Detection for Text Data
Outlier Detection Toolbox for MATLAB
TOD: GPU-accelerated Outlier Detection via Tensor Operations
Fast, scalable and flexible Outlier Detection with Julia
(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection)
ML powered analytics engine for outlier detection and root cause analysis.