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…

Detect anomalies in network traffic data using Federated Machine Learning technique.

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

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

Transformer-based Models for Unsupervised Anomaly Segmentation in Brain MR Images

EfficientNetV2 based PaDiM

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

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

Undergrad paper on Anomaly-based Network Intrusion Detection Systems

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

Report on Anomaly Detection Methods for Data Streams

Online anomaly detectors suitable for the detection of point and contextual anomalies on time series data streams.

Progetto per l'esame del corso di Fondamenti di Intelligenza Artificiale

This is the complementary repository for "Payment fraud identification by means of business process anomaly detection", the master thesis of Keyvan Amiri Elyasi submitted at the Junior Professorship of Management Analytics, University of Mannheim (July 2022)

Python Projects on varied topics for Data Analysis and Machine Learning

Built a few anomaly detection models to determine the anomalies from the data