Multi-NILM: Multi Label Non Intrusive Load Monitoring

Standalone ncdu export feature

Time Series Tokenizer inspired by Symbolic Aggregate approXimation (SAX) for seamlessly training LLMs with time-series data.

Example on how SFA and SAX can be used as DL embedding for a Transformer models on time series data.

Implementation of Fast Shapelets: A Scalable Algorithm for Discovering Time Series Shapelets

an interface application written in Python Kivy using MVC

MSAX - Symbolic Aggregate Approximation For Multivariate Time Series

This repository aims to identify discords in time series data using the HOT SAX publication as a role model. The base code is result of the work of Dr. Christian Gruhl, while alterations to add the alternative to HOT are the work of this student project.