Machine Learning Materials Innovation Infrastructure - NSF CSSI Project

Pinned Repositories

band_gap_collection
Language:Jupyter Notebook00
foundry
Simplifying the discovery and usage of machine-learning ready datasets in materials science and chemistry
Language:Python77 7 20816
foundry-app
web app for foundry
Language:Vue0 4 510
foundry-cli
Language:Python0 2 01
foundry-examples
Language:Jupyter Notebook00
MLMI2-CSSI.github.io
web app for Foundry
Language:Vue00
quantum-chemistry-benchmark-datasets
Collecting datasets that benchmark quantum chemistry methods
Language:Jupyter Notebook0 5 10

MLMI2-CSSI/foundry
Simplifying the discovery and usage of machine-learning ready datasets in materials science and chemistry
Language:Python77 7 20816
MLMI2-CSSI/band_gap_collection
Language:Jupyter Notebook00
MLMI2-CSSI/foundry-app
web app for foundry
Language:Vue0 4 510
MLMI2-CSSI/foundry-cli
Language:Python0 2 01
MLMI2-CSSI/foundry-examples
Language:Jupyter Notebook00
MLMI2-CSSI/MLMI2-CSSI.github.io
web app for Foundry
Language:Vue00
MLMI2-CSSI/quantum-chemistry-benchmark-datasets
Collecting datasets that benchmark quantum chemistry methods
Language:Jupyter Notebook0 5 10