The AI Model Share Project

The AI Model Share Project acts as a lab for machine learning innovation at Columbia University. The project is currently piloting the AI Model Share Platform (see or find us on github) throughout 2021-2022 at Columbia. Its mission is to generate the tools needed to assist students, faculty, and the wider data science community to bring machine learning innovations to all manner of end-users. The initiative received Start Up Center grant funding from ISERP to build a platform (Python library + integrated website) that will act as the world's trusted academic repository for machine learning model prediction APIs. To date we have used these resources to rapidly generate the core functionality of this platform.

The platform now enables faculty, students, and the wider data science community to launch machine learning models into scalable production ready prediction REST APIs and live web-dashboards using a single Python function. Details about each model, how to use the model's API, and the model's author(s) are deployed simultaneously into a searchable website at Columbia. Data scientists (faculty, students and otherwise) have individual model detail pages listing information about all deployed models. Each of these pages includes a fully functional prediction dashboard that allows end-users to input text, tabular, or image data and receive live predictions. Moreover, documentation for prediction API usage via Curl, Python, and R code are also available.

In a matter of seconds, data scientists can launch a model into this infrastructure and end-users the world over will be able to engage their machine learning models. A developer version of the platform is currently being used by Columbia students, faculty, and staff to test and improve platform functionality through the spring semester of 2022. The site will be publicly launched outside of Columbia in summer 2022.


Michael Parrott

Lecturer in the Discipline of Political Science
Quantitative Methods in the Social Sciences