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  1. Positive and Unlabeled Materials Machine Learning (PUMML) is a code that uses semi-supervised machine learning to classify materials from only positive and unlabeled examples.

    Python 1 1

  2. Forked from materialsproject/pymatgen

    Python Materials Genomics (pymatgen) is a robust materials analysis code that defines core object representations for structures and molecules with support for many electronic structure codes. It i…

    Propeller Spin

  3. Forked from hackingmaterials/atomate

    atomate is a powerful software for computational materials science and contains pre-built workflows.

    Python

  4. Forked from evanca/quick-portfolio

    Personal website for Nathan C. Frey.

81 contributions in the last year

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August 2019

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