A PyTorch implementation of the Deep SVDD anomaly detection method

Deep learning-based outlier/anomaly detection

A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.

Repository for the Deep One-Class Classification ICML 2018 paper

Repository for the Explainable Deep One-Class Classification paper

List of implementation of SOTA deep anomaly detection methods

Code underlying our publication "Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection" at ICPR2020

Official repository for survey paper "Deep Graph Anomaly Detection: A Survey and New Perspectives", including diverse types of resources for graph anomaly detection.

A PyTorch implementation of Context Vector Data Description (CVDD), a method for Anomaly Detection on text.

Repository for the paper "Rethinking Assumptions in Anomaly Detection"

Repository for the Exposing Outlier Exposure paper

Implementation of anomaly detection approaches as scikit-learn estimators

Official implementation of KDD'19 paper "Deep Anomaly Detection with Deviation Networks"

List of implementation of SOTA deep anomaly detection methods