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
A PyTorch implementation of Context Vector Data Description (CVDD), a method for Anomaly Detection on text.
Official repository for survey paper "Deep Graph Anomaly Detection: A Survey and New Perspectives", including diverse types of resources for graph anomaly detection.
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
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