svdd

iqiukp/SVDD-MATLAB

MATLAB Code for abnormal detection using Support Vector Data Description (SVDD).

hs-jiang/FISVDD

Fast Incremental Support Vector Data Description implemented in Python

englhardt/SVDD.jl

A Julia package for Support Vector Data Description.

1010code/OneClass_NeuralNetwork

https://andy6804tw.github.io/2021/03/18/one-class-convolutional-neural-network/

iqiukp/Decision-Boundaries-Visualization-of-SVDD-libsvm-3.23

Decision Boundaries Visualization of SVDD (libsvm-3.23)

ambareeshravi/Thesis_VideoAnomalyDetection

Thesis work on Video Anomaly Detection

fahadsohrab/ssvdd

Subspace Support Vector Data Description

homarques/SDS-hyperparameter-selection

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

PyAnomaly/UNSUPERVISED-ANOMALY-DETECTION

Supervised machine learning methods for novel anomaly detection.

Anomaly-Detection-paper/Learning-Deep-Features-for-One-Class-Classification

Anomaly detection for deep SVDD

englhardt/ocs-evaluation

Scripts and notebooks to reproduce the experiments and analyses of the paper Adrian Englhardt, Holger Trittenbach, Daniel Kottke, Bernhard Sick, Klemens Böhm, "Efficient SVDD sampling with approximation guarantees for the decision boundary", Machine Learning (2022).

zjzsliyang/Talos

Detecting Malicious Commands

AlbiCarle/ZeroFPR_SVDD

Safety regions research is a well-known task for ML and the main focus is to avoid false positives, i.e., including in the safe region unsafe points. In this repository, two methods for the research of zero FPR regions are proposed: the first one is based simply on the reduction of the SVDD radius until only safe points are enclosed in the SVDD shape; the second one instead performs successive iterations of the SVDD on the safe region until there are no more negative points.

DongKeon/FISVDD_cpp

englhardt/OneClassSampling.jl

A Julia package for one-class classification sampling methods.