Published January 22, 2024 | Version v0.7.4
Software Open

Foundry-ML - Software and Services to Simplify Access to Machine Learning Datasets in Materials Science

Creators

  • 1. Globus, University of Chicago, Chicago, IL, United States of America
  • 2. Data Science and Learning Division, Argonne National Laboratory, Lemont, IL, United States of America
  • 3. Data Science Institute, University of Wisconsin-Madison, Madison, WI, United States of America
  • 4. Department of Computer Science, University of Chicago, Chicago, IL, United States of America
  • 5. Department of Materials Science and Engineering, University of Wisconsin-Madison, Madison, WI, United States of America
  • 6. Department of Computer Science, University of Wisconsin-Madison, Madison, WI, United States of America

Description

Foundry-ML simplifies the discovery and usage of ML-ready datasets in materials science and chemistry providing a simple API to access even complex datasets.

  • Load ML-ready data with just a few lines of code
  • Work with datasets in local or cloud environments.
  • Publish your own datasets with Foundry to promote community usage
  • (in progress) Run published ML models without hassle

Learn more and see our available datasets on Foundry-ML.org, or visit our GitHub page

This archive is a supplement to the JOSS publication "Foundry-ML - Software and Services to Simplify Access to Machine Learning Datasets in Materials Science". Code is inline with version v0.7.4 -- for the latest version, see Foundry-ML (latest).

Files

foundry-0.7.4.zip

Files (16.5 MB)

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Additional details

Related works

Is supplement to
Software: https://github.com/MLMI2-CSSI/foundry/tree/joss (URL)

Funding

U.S. National Science Foundation
Collaborative Research: Framework: Machine Learning Materials Innovation Infrastructure 1931306

Dates

Updated
2024-01-22
Updated to v0.7.4