Tabluence is a machine learning framework focused on the intersection of two critical domains in the machine learning world: sequential data and tabular domain.
Remark: This repository contains the code for our manuscript: "Passive Monitoring of Physiological Precursors of Stress by Leveraging Smartwatch Data"
Remark: This repository is a work in progress.
To install, run the following command:
pip3 install -e .
or
python3 setup.py install
To get started on how to design experiments and develop your own inference pipelines, please refer to the getting started document.
Please cite the following papers if you use Tabluence in your research: