Python code for abnormal detection using Support Vector Data Description (SVDD)
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Jun 17, 2024 - Python
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abnormal-detection
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MATLAB Code for abnormal detection using Support Vector Data Description (SVDD).
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May 12, 2022 - MATLAB
Official Code Repository of "Tokenizing Single-Channel EEG with Time-Frequency Motif Learning". arXiv: https://arxiv.org/abs/2502.16060
deep-learning representation-learning tokenization eeg-analysis seizure-detection abnormal-detection ear-eeg seizure-classification
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Apr 22, 2026 - Python
One-class classifiers for anomaly detection (outlier detection)
machine-learning outliers autoencoder outlier-detection knn anomaly-detection variational-autoencoder oneclasssvm isolationforest abnormal-detection deep-svdd
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Sep 2, 2020 - Python
2D residual U-Net (ResUNet) and a lead combiner (LC) for 12-lead ECG Abnormality Classification
deep-neural-networks deep-learning dnn pytorch ecg classification resnet multi-label-classification icassp electrocardiogram ecg-classification abnormal-detection abnormality-detection icassp2024
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Jan 4, 2024 - Python
[NPJ Com Mat 2023 | Small 2024] Machine Learning Algorithm : outlier identifying, feature selection
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Jun 4, 2026 - Jupyter Notebook
Automatic SMS Parsing and Transaction Creation for FireFly-III with suite of scripts designed to enhance your experience with FireFly-III
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Apr 25, 2026 - PHP
A references and discriptions for anomaly, inspection, defect detection datasets.
manufacturing inspection defects datasets anomaly-detection defect-detection out-of-distribution-detection abnormal-detection
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Aug 19, 2022
Built an evaluation model based on user authentication data to predict the risk of current user authentication behavior.
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Jun 23, 2026 - Python
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.
python location mode average median fraud-detection standard-deviation outlier z-score abnormal-detection interquartile-range
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Aug 6, 2024 - Jupyter Notebook
Identified risk accounts involved in transaction fraud based on account data.
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Jun 23, 2026 - Python
A dataset includes individuals' abnormal behaviors in massive crowds.
research ai computer-vision neural-network artificial-intelligence datasets research-paper abnormal-behavior-detection abnormal-detection
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Mar 11, 2023
Code repository for the book 'Machine Learning in Python for Visual and Acoustic Data-based Process Monitoring'
computer-vision acoustics quality-inspection abnormal-detection processmonitoring equipment-condition-monitoring
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Apr 24, 2024 - Jupyter Notebook
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.
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Apr 24, 2025 - Python
Implement VAE & Context-encoder using PyTorch.
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Jan 2, 2022 - Jupyter Notebook
LG Aimers 5th Hackathon Project Deliverables / LG Aimers 5기 과제 수행물
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Mar 20, 2025 - Jupyter Notebook
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。
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Oct 31, 2025 - Python
2023년 2학기 종합설계프로젝트1 X 우경정보기술 - 이상행동 객체 탐지 시스템
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Nov 11, 2024 - Jupyter Notebook
PyTorch unofficial implements `PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization` paper.
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Dec 19, 2023 - Python
Develop a self-supervised learning algorithm to extract deep features from millions of unlabeled signal data to identify abnormal driving behaviors
deep-learning time-series signal transfer-learning abnormal-behavior-detection self-supervised-learning abnormal-detection ts2vec
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Mar 26, 2023 - Jupyter Notebook
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