Hongzuo Xu

DeepOD. Deep learning-based outlier/anomaly detection

outlier-interpretation. (WWW'21) ATON - an Outlier Interpreation / Outlier explanation method

deep-iforest. offical implementation of TKDE paper "Deep isolation forest for anomaly detection"

couta. a time series anomaly detection method based on the calibrated one-class classifier

MIX. ICDM19 - Anomaly Detection / Outlier Detection for Mixed data

rosas. official implementation of RoSAS: Deep Semi-supervised Anomaly Detection with Contamination-resilient Continuous Supervision

scale-learning. Deep anomaly detection with scale learning

EMAC_SCAN. Outlier detection algorithm for categorical data

SelectVC-POP. The source code of POP to detect outliers in high-dimensional categorical data published in CIKM17.

TS-AD-Datasets. Public datasets for time series anomaly detection

OUVAS-RHAC. Outlier detection method RHAC for categorical data published in CIKM18

Anomaly-Detection. UnSupervised and Semi-Supervise Anomaly Detection / IsolationForest / KernelPCA Detection / ADOA / etc.

WOD. The source code of outlier detection method WOD for categorical data published in DEXA18.

FLAD. Python

ADRepository-Anomaly-detection-datasets.

ML-NLP. 此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

plsd. weakly-supervised anomaly detection