Python code for abnormal detection using Support Vector Data Description (SVDD)

MATLAB Code for abnormal detection using Support Vector Data Description (SVDD).

One-class classifiers for anomaly detection (outlier detection)

[NPJ Com Mat 2023 | Small 2024] Machine Learning Algorithm : outlier identifying, feature selection

2D residual U-Net (ResUNet) and a lead combiner (LC) for 12-lead ECG Abnormality Classification

Automatic SMS Parsing and Transaction Creation for FireFly-III with suite of scripts designed to enhance your experience with FireFly-III

A references and discriptions for anomaly, inspection, defect detection datasets.

Official Code Repository of "Tokenizing Single-Channel EEG with Time-Frequency Motif Learning". arXiv: https://arxiv.org/abs/2502.16060

Built an evaluation model based on user authentication data to predict the risk of current user authentication behavior.

This project uses statistical analysis to detect fraudulent credit card transactions by examining patterns and anomalies in a dataset of 10,000 transactions, calculating averages, medians, frequencies, and identifying outliers to distinguish between legitimate and fraudulent activities.

Identified risk accounts involved in transaction fraud based on account data.

Implement VAE & Context-encoder using PyTorch.

NetSniff-Guard is an advanced network security tool that captures live network packets and detects anomalies using machine learning techniques. It analyzes traffic in real-time based on multiple features including packet size, protocol, timing patterns, and flow behavior. The system provides immediate alerts for suspicious activities.

Code repository for the book 'Machine Learning in Python for Visual and Acoustic Data-based Process Monitoring'

实现高质量、可商业化落地的预测性维护（Predictive Maintenance, PdM）系统，通过对拖拉机运行数据进行实时监控和深度分析，实现对关键部件故障的提前预测、健康状态的精准评估和智能化维保决策，从而最大化设备可用性、降低非计划停机时间，并优化维护资源配置。

A dataset includes individuals' abnormal behaviors in massive crowds.

LG Aimers 5th Hackathon Project Deliverables / LG Aimers 5기 과제 수행물

PyTorch unofficial implements `PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization` paper.

2023년 2학기 종합설계프로젝트1 X 우경정보기술 - 이상행동 객체 탐지 시스템

Develop a self-supervised learning algorithm to extract deep features from millions of unlabeled signal data to identify abnormal driving behaviors