About MLentory
Introduction
MLentory is centered around information on ML models, how to harmonize that data, and how to make it available and searchable on an FDO (FAIR Digital Object) registry. Our goal is to build a system that extracts ML (Machine Learning) model information from different platforms, normalizes that data in a common format, stores it, and shares it in a FDO registry to facilitate Information Retrieval and comparison/recommendation systems.
MLentory Pipeline

📋 Cite us: Quiñones, N., Geist, L., Ravinder, R., Solanki, D., Venkatesh, S., Rebholz-Schuhmann, D., & Castro, L. J. (2025, August 4). MLentory: NFDI4DS registry for machine learning models and related artifacts. https://doi.org/10.5281/zenodo.16735316
Organizations
NFDI4DataScience
NFDI consortium for the Data Science and AI research data lifecycle.
ZB MED — Information Centre for Life Sciences
Life sciences data centre. MLentory is built by the Semantics Technology Team.