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 code for 'Deep One-Class Classification via Interpolated Gaussian Descriptor' [AAAI 2022 Oral]

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

Semi-supervised anomaly detection method

A scikit-learn compatible library for anomaly detection

Repository for the paper "Rethinking Assumptions in Anomaly Detection"

Fast Incremental Support Vector Data Description implemented in Python

Codebase for the ICKG 2023 paper: "GLAD: Content-aware Dynamic Graphs For Log Anomaly Detection".

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

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'

unsupervised concept drift detection with one-class classifiers

Prior Generating Networks for Anomaly Detection

Deep One-Class Classification using Intra-Class Splitting

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

Legacy repo for the Artificial Intelligence capable of patacón recognition (Now on HuggingFace)

A Julia package for Support Vector Data Description.

A Julia package for One-Class Active Learning.

Multimodal Subspace Support Vector Data Description