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conda-forge.org : pumml
Positive and Unlabeled Materials Machine Learning (pumml) is a code that uses semi-supervised positive and unlabeled (PU) machine learning to classify materials when data is incomplete and only examples of "positive" materials are available. As an example, pumml was used to predict the "synthesizability" of bulk and 2D materials from "positive" examples of synthesized materials.
Registry
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Source
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purl: pkg:conda/pumml
Keywords: chemistry, density-functional-theory, machine-learning, materials-design, materials-discoveries, materials-informatics, materials-science, physics, positive-unlabeled-learning
License: MIT
Latest release: over 2 years ago
First release: over 2 years ago
Stars: 32 on GitHub
Forks: 14 on GitHub
See more repository details: repos.ecosyste.ms
Last synced: 12 days ago