Codeup repository for anomaly detection exercises

Next-value prediction and Anomaly Detection with Keras on medical data.

This is the technical task by Eilink Digital Research Lab.

Repositorio para datos y documentos de la asignatura del máster en Ciencia de Datos: Minería de datos, detección de anomalías y aprendizaje no supervisado.

Anomaly detection using IF, LOF, OC-SVM, Autoencoder.

Anomaly Detetction using Local Outlier Factor, Autoencoder and integration

Applying anomaly detection methods on Multi-Armed Bandit problems

Using an Autoencoder for Anomaly Detection

Seasonal ESD is an anomaly detection algorithm implemented at Twitter: https://arxiv.org/pdf/1704.07706.pdf

Anomaly Detection in Time Series Data using Autoencoders approach.

2022 Winter Individual Research

Code for the paper "Empirical Thresholding on Spatio-temporal Autoencoders Trained on Surveillance Videos in a Dementia Care Unit".

This GitHub repository provides a comprehensive set of tools and algorithms for detecting fraud anomalies in various data sources. Fraudulent activities can have severe consequences, impacting businesses and individuals alike. With this repository, we aim to empower researchers with effective techniques to identify and prevent fraudulent behavior.

Time Series Anomaly Detection

LSTM model for the purpose of anomaly detection in multivariate sensor timeseries

Data Science Examples

Autoencoder for gait recognition and elderly monitoring.

Time Series Model Implementation Repository

Sample code for anomaly detection through generation and publication of a Docker image.