Contributing to Auton Universal Viewer

Motivation

There is currently an unmet need in the machine learning community for tooling to quickly view & analyze large time-series datasets and facilitate annotation by domain experts in an easy, portable way.

There is also an unmet need in the medical research & machine learning community for efficiently encoding large multimodal datasets (e.g. of patient stays, animal studies, etc.), characterizing & featurizing the datasets, facilitating annotation by domain experts, and facilitating analysis by researchers & data scientists.

This is why auviewer, audata, and ccdef have been shared and why contributing to them can be rewarding and worthy of your time & efforts.

Contributing

If you are interested in contributing to any of these projects, please contact Gus Welter. Alternatively, feel free to dive in and make a pull request, with the understanding that they are subject to review, change requests, and potential rejection if there is not alignment with the viewer’s scope & purpose.