Beagle Anomaly Detection Framework

This repository contains the basis for an anomaly detection framework for time series.

The current code is written in Python 3 and relies on the following libraries:

• PyTorch (see www.pytorch.org)
• ScikitLearn (see scikit-learn.org)

Why Beagle?

Beagle is a dog breed with an outstanding olfactive sense meaning they can track down everything that leaves a scent. So I decided to call this framework Beagle Anomaly Detection since I want this framework to be able to track every anomaly possible.

And last but not least, I own a beagle dog...