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| Name: | Foundry |
| Description: | Foundry is a Python package that simplifies the discovery and usage of machine-learning ready datasets in materials science and chemistry. Foundry provides software tools that make it easy to load these datasets and work with them in local or cloud environments. Further, Foundry provides a dataset specification, and defined curation flows, that allow users to create new datasets for the community to use through this same interface. |
| Type: | Application Software |
| Keywords: | materials data, FAIR, datasets, models, machine learning |
| License: | MIT |
| Project URL: | https://github.com/MLMI2-CSSI/foundry |
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| Acknowledgement: | This work was supported by the National Science Foundation under NSF Award Number: 1931306 "Collaborative Research: Framework: Machine Learning Materials Innovation Infrastructure". |
| Funding Agency: | NSF |
| Award No: | 1931306 |
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| PI Name: | Ben Blaiszik |
| PI Email: | blaiszik@uchicago.edu |
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| Metric Name | Count | ||
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| github_commits | 1679 | ||
| github_contributors | 19 | ||
| github_forks | 16 | ||
| github_stars | 80 |