Contributor
Sanjiban Sengupta

ROOT Storage of Deep Learning models in TMVA


Mentors
Anirudh Dagar, Sitong An, Lorenzo Moneta
Organization
CERN-HSF

The Toolkit for Multivariate Data Analysis with ROOT (TMVA) provides a machine learning environment for the processing and evaluation of multivariate classification, both binary and multi-class, and regression techniques targeting applications in high-energy physics. The latest development in TMVA is a fast inference system, with its own intermediate representation of the deep learning model compliant with the ONNX standard. With this new inference system, TMVA aims to provide convenience for users in High Energy Physics in the deployment of their Deep Learning models in a production environment. To facilitate the usage, storage and exchange of these models,this project aims to develop the storage functionality of Deep Learning models in the ROOT format, popular in the High Energy Physics community.