one-class-svm

hs-jiang/FISVDD

Fast Incremental Support Vector Data Description implemented in Python

Kaslanarian/PySVM

PySVM : A NumPy implementation of SVM based on SMO algorithm. Numpy构建SVM分类、回归与单分类，支持缓存机制与随机傅里叶特征

mridul-sachan/OneClassSVM

A one class svm implementation to detect the anomalies in network.

bharathsudharsan/COVID-away

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

KentaItakura/Crack-detection-using-one-class-SVM

This demo shows how to detect the crack images using one-class SVM using MATLAB.

tim5go/awesome-one-class-classification

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

zhongyuchen/outlier-detection

Detect outliers with 3 methods: LOF, DBSCAN and one-class SVM

sfujiwara/tfmodel

Canned estimators and pre-trained models converted for TensorFlow.

forallx94/Sequential_Anomaly_detecion

Anomaly detection for Sequential dataset

nafiul-araf/Anomaly-Detection

Anomaly detection (also known as outlier analysis) is a data mining step that detects data points, events, and/or observations that differ from the expected behavior of a dataset. A typical data might reveal significant situations, such as a technical fault, or prospective possibilities, such as a shift in consumer behavior.

nico-ralf-ii-fpuna/tfg

OCS-WAF: a Web Application Firewall based on anomaly detection using One-Class SVM classifier

RazMalka/One_Class_SVM_Document_Classification

One-Class SVMs for Document Classification

emirka/insight

Insight Data Science DS.2019C.TO project

JakubIg/Weather_anomalies_detection

Detecting weather anomalies for Dublin Airport

sajadh76/Anomaly-Detection-Optical-Networks

Anomaly Detection in Optical Networks

YoNG-Zaii/Casting-Products-Defects-Detection

Anomaly detection using IF, LOF, OC-SVM, Autoencoder.

zjzsliyang/Talos

Detecting Malicious Commands

dglttr/dm_seminar_ws2020

Project from seminar "Data Mining in Production"

DongKeon/FISVDD_cpp

haldersourav/anomaly-detection

Comparison of various anomaly detection algorithms using scikit-learn and visualization through Plotly Dash

kkrusere/Credit-Card-Fraud-Anomaly-Outlier-Detection

The project explores a range of methods, including both statistical analysis, traditional machine learning and deep learning approaches to anomaly detection a critical aspect of data science and machine learning, with a specific application to the detection of credit card fraud detection and prevention.

dhingratul/Fraud-Prediction

Fraud hosts with substantial amount of fraudulent traffic using the impression logs for selected IP addresses

ngshya/recoengi

This repository provides some recommender engine models.

pacifikus/Geologist

Data exploration, anomaly detection, and data generation for oil deposits dataset.