ThunderSVM: A Fast SVM Library on GPUs and CPUs

A PyTorch implementation of the Deep SVDD anomaly detection method

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

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

[ti]ny [li]ttle machine learning [tool]box - Machine learning, anomaly detection, one-class classification, and structured output prediction

Official implementation of NeurIPS'23 paper "Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection"

Repository for the paper "Rethinking Assumptions in Anomaly Detection"

Pytorch implementation of code used for one-class anomaly detection based face anti-spoofing

Prior Generating Networks for Anomaly Detection

Deep One-Class Classification using Intra-Class Splitting

Anomaly IDS using a one-class autoencoder.

A pill quality control dataset and associated anomaly detection example

Repository for the Exposing Outlier Exposure paper

Package provides the direct java conversion of the origin libsvm C codes as well as a number of adapter to make it easier to program with libsvm on Java

CLEAR: Cumulative LEARning for one-shot one-class image recognition (CVPR 2018)

ALPUD: Active Learning from Positive and Unlabeled Data

Subspace Support Vector Data Description

One-class classification approach using error of image transformation into one image