A scikit-learn compatible library for anomaly detection

Deep One-Class Classification using Intra-Class Splitting

Scripts and notebooks to reproduce the experiments and analyses of the paper Holger Trittenbach and Klemens Böhm. "One-Class Active Learning for Outlier Detection with Multiple Subspaces." CIKM 2019

Hyperparameter selection of one-class support vector machine by self-adaptive data shifting

unsupervised concept drift detection with one-class classifiers

Fast Incremental Support Vector Data Description implemented in Python

anomaly-detection

Prior Generating Networks for Anomaly Detection

Dissimilarity-Based One-Class Time Series Classification

Custom DeepSVDD for One-Class Classification(OCC) in Machine Learning (Ref. Deep OCC ICML 2018 paper)

A Julia package for One-Class Active Learning.

A curated list of awesome resources dedicated to One Class Classification.

Code for PerCom paper 'Edge2Guard: Botnet Attacks Detecting Offline Models for Resource-Constrained IoT Devices'

List of implementation of SOTA deep anomaly detection methods

A set of tools to rank molecular pairs by their similarity to components of co-crystal reported in the CSD.

A Julia package for Support Vector Data Description.

Ellipsoidal Subspace Support Vector Data Description

Subspace Support Vector Data Description

Code for paper 'Avoid touching your face: A hand-to-face 3d motion dataset (covid-away) and trained models for smartwatches'