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.

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

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

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.

zhongyuchen/outlier-detection

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

sajadh76/Anomaly-Detection-Optical-Networks

Anomaly Detection in Optical Networks

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

YoNG-Zaii/Casting-Products-Defects-Detection

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

JakubIg/Weather_anomalies_detection

Detecting weather anomalies for Dublin Airport

zjzsliyang/Talos

Detecting Malicious Commands

dahsie/anomalie_detection

Ce projet est réalisé dans le cardre de mon projet académique de fin de cursus ingénieur informatique en data science. L'objectif est de réalisé la détection d'anomalie qui sont de types varié en utilisant les machine learning et le deep learning

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.

RonitinoR/Fraud-Detection-System

Machine learning pipelines for anomaly detection using unsupervised learning

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.

sushant-joshi/basil

Basil is a master detective, excellent at spotting inconsistencies and uncovering hidden clues. Think Anamoly Detection.