one-class-classification

ORippler/gaussian-ad-mvtec

Code underlying our publication "Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection" at ICPR2020

tianyu0207/IGD

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

xuhongzuo/couta

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

google-research/spade_anomaly_detection

Semi-supervised anomaly detection method

lukasruff/Classification-AD

Repository for the paper "Rethinking Assumptions in Anomaly Detection"

Y-oHr-N/kenchi

A scikit-learn compatible library for anomaly detection

hs-jiang/FISVDD

Fast Incremental Support Vector Data Description implemented in Python

yul091/GraphLogAD

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

bharathsudharsan/COVID-away

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

tim5go/awesome-one-class-classification

A curated list of awesome resources dedicated to One Class Classification.

bharathsudharsan/Edge2Guard

Code for PerCom paper 'Edge2Guard: Botnet Attacks Detecting Offline Models for Resource-Constrained IoT Devices'

ogozuacik/one-class-drift-detection

unsupervised concept drift detection with one-class classifiers

patrickschlachter/deep-occ-using-ics

Deep One-Class Classification using Intra-Class Splitting

seonho-park/PGN_anomaly_detection

Prior Generating Networks for Anomaly Detection

lrcfmd/cocrystal_design

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

frncscp/patacognition

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

englhardt/SVDD.jl

A Julia package for Support Vector Data Description.

englhardt/OneClassActiveLearning.jl

A Julia package for One-Class Active Learning.

KnowledgeDiscovery/OC4Seq

Code for "Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection" @ SIGKDD2021

Linear-Fox-Labs/DePixel

Distinguish between real and AI-generated images.

patharanordev/ml-occ-deepsvdd

Custom DeepSVDD for One-Class Classification(OCC) in Machine Learning (Ref. Deep OCC ICML 2018 paper)

fahadsohrab/mssvdd

Multimodal Subspace Support Vector Data Description

boortel/AE-Reconstruction-And-Feature-Based-AD

Framework for the AE reconstruction and feature based AD

fahadsohrab/ssvdd

Subspace Support Vector Data Description

homarques/SDS-hyperparameter-selection

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

spaghettix/DB_OC_TSC

Dissimilarity-Based One-Class Time Series Classification

ToshiHayashi/OCITN

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

spaghettix/FE_GE_TSC

Feature Extraction by Grammatical Evolution for One-Class Time Series Classification

ChangYungHua/Deep-Features-One-Class-Classification

anomaly-detection

fahadsohrab/essvdd

Ellipsoidal Subspace Support Vector Data Description

giorgosv12/deepfakes-detection-thesis

holtri/subsvdd-evaluation

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

jose-gilberto/deeptime

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.

ToshiHayashi/OCSTN

One-class classification algorithm for univariate timeseries data

WDpad753/Mahalanobis-Distance-Predictive-Model

This repository is about the implementation of Mahalanobis Distance outlier detection as a one class classification model. This has been achieved using Python