anomaly detection by one-class SVM

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

Fast Incremental Support Vector Data Description implemented in Python

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

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

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

Canned estimators and pre-trained models converted for TensorFlow.

One-Class SVMs for Document Classification

Detecting weather anomalies for Dublin Airport

Detecting Malicious Commands

This repository provides some recommender engine models.

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