dhaidahoumaima/Time-Series-Anomaly-Detection-using-SWaT-Dataset-with-Autoencoders-and-Variational-Autoencoders

This project presents a robust time series anomaly detection system utilizing Autoencoder and Variational Autoencoder models. The SWaT (Secure Water Treatment) dataset is used for training and evaluation, with promising results showcased in the accompanying research paper.