anomaly-detection-models

A Java package to automatically detect anomalies in large scale time-series data

Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in anomaly detection, graph representation learning, and graph anomaly detection to join this project as contribut…

I put all my exploration around AI in reproducible notebooks in this repository

Anomaly detection method that incorporates multi-scale features to sparse coding

EfficientNetV2 based PaDiM

This repository contains code from our comparative study on state of the art unsupervised pathology detection and segmentation methods.

Open Source library for easy and modular Visual Anomaly Detection

Surface water quality data analysis and prediction of Potomac River, West Virginia, USA. Using time series forecasting, and anomaly detection : ARIMA, SARIMA, Isolation Forest, OCSVM and Gaussian Distribution

Sequential pattern analysis through variable-order Markov chains. Built for detecting deviations in finite-alphabet sequences.

Linux VPS Defense via Computer Vision: Time-series to Spectrogram CNN + Isolation Forest ensemble. High-performance inference via ONNX.

Applications of AI for Anomaly Detection: Instructor-led training from the NVIDIA Deep Learning Institute (DLI)

I was unfortunate to contract COVID-19 during the second wave in India. Time-series graphs, denoting the caseload were omnipresent in this period. I found that time series analysis resonated with me since it used mathematical equations to understand and give meaning to perpetual events. Under the guidance of Professor Supratim Biswas, at IIT Bombay

Spring 2025 FPT Bachelor Capstone Project (SP25AI39)

[work-in-progress] Convolutional neural network for anomaly detection on large road networks

👩🏻‍🚀 13-DataMining: Clear, beginner-friendly explanations and hands-on resources on Principal Component Analysis (PCA) and Isolation Forest for Outlier Detection — designed to make unsupervised learning approachable for everyone. ✠💚✠

Report on Anomaly Detection Methods for Data Streams

Undergrad paper on Anomaly-based Network Intrusion Detection Systems using ML

Secure IoT device authentication on Ethereum using Schnorr Zero-Knowledge Proofs + ECDSA dual auth, blockchain-anchored identity, and ML-based anomaly detection. Go backend, private PoA blockchain, React dashboard.

Is this normal for your baby? Tracker apps only tell you what changed since yesterday, which makes ordinary variation look alarming. This builds a range from your own baby's last 21 nights, shows where last night sits inside it, and flags whether it's signal or noise. Runs in your browser; nothing uploaded.

Self-Supervised Multi-Layer Vision Transformer Representations for Industrial Anomaly Detection and Localization Mo