BETA

MLentory

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

MLentory pipeline diagram
Figure 1. Schematic Overview of the MLentory data processing 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

NFDI

National research data infrastructure for Germany.

nfdi.de

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.