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pypi.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.
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Source
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purl: pkg:pypi/pumml
Keywords: VASP, machine, learning, materials, science, DFT, synthesis, chemistry, density-functional-theory, machine-learning, materials-design, materials-discoveries, materials-informatics, materials-science, physics, positive-unlabeled-learning
License: MIT
Latest release: over 3 years ago
First release: almost 5 years ago
Dependent repositories: 1
Downloads: 38 last month
Stars: 33 on GitHub
Forks: 13 on GitHub
See more repository details: repos.ecosyste.ms
Last synced: 20 days ago