mlots is python package that provides Machine Learning tools for Time-Series Classification.

Hypertension Detection From High-Dimensional Representation of Photoplethysmogram Signals

CUDA implementation of the MiniRocket algorithm

Intra-operative hypotension prediction

Time Series Classification experiments on open-source datasets using Automated Machine Learning (AutoML) frameworks

Hard drive failures can lead to data loss and increased bussiness expenses. In this project we detect hard drive failure before it happens with sensor data in a time series format. We transform the data into a linear format with convolutional kernels and classify with a random forest model.