There are 7 repositories under one-class-classification topic.
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]
Repository for the paper "Rethinking Assumptions in Anomaly Detection"
Semi-supervised anomaly detection method
Code for paper 'Avoid touching your face: A hand-to-face 3d motion dataset (covid-away) and trained models for smartwatches'
Code for PerCom paper 'Edge2Guard: Botnet Attacks Detecting Offline Models for Resource-Constrained IoT Devices'
A curated list of awesome resources dedicated to One Class Classification.
unsupervised concept drift detection with one-class classifiers
Deep One-Class Classification using Intra-Class Splitting
Prior Generating Networks for Anomaly Detection
Codebase for the ICKG 2023 paper: "GLAD: Content-aware Dynamic Graphs For Log Anomaly Detection".
A set of tools to rank molecular pairs by their similarity to components of co-crystal reported in the CSD.
A Julia package for One-Class Active Learning.
Multimodal Subspace Support Vector Data Description
Custom DeepSVDD for One-Class Classification(OCC) in Machine Learning (Ref. Deep OCC ICML 2018 paper)
Subspace Support Vector Data Description
Code for "Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection" @ SIGKDD2021
Hyperparameter selection of one-class support vector machine by self-adaptive data shifting
Dissimilarity-Based One-Class Time Series Classification
One-class classification approach using error of image transformation into one image
anomaly-detection
Ellipsoidal Subspace Support Vector Data Description
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
Set of deep learning models for supervised and semi-supervised learning tasks using time series. The models include tasks of multi-class classification, one-class classification, representation learning and derivatives. All models are based on PyTorch.
One-class classification algorithm for univariate timeseries data
This repository is about the implementation of Mahalanobis Distance outlier detection as a one class classification model. This has been achieved using Python
Feature Extraction by Grammatical Evolution for One-Class Time Series Classification