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

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.

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

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