A range of machine learning algorithms to detect outliers on multivariate data.
Contains supplementary information for the paper 'Effective Simple Approaches to Multivariate Time Series Anomaly Detection'
The plots are generated using the three jupyter notebook files
Dependencies are in the yml file, for manual install I used
jupyter pytorch scikit-learn pandas datetime stopit matplotlib