Data

Tools

Indexes

Applications

Experiments

Packages

An open API service providing package, version and dependency metadata of many open source software ecosystems and registries.

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.

Ecosystem
pypi.org
Latest Release
0.0.2
almost 6 years ago
Versions
2
Downloads
10 last month
Dependent Repos
1
    Loading...
    Readme
    Loading...
    Links
    Registry pypi.org
    Source Repository
    Docs Documentation
    JSON API View JSON
    CodeMeta codemeta.json
    Package Details
    PURL pkg:pypi/pumml
    spec
    License MIT
    First Release over 7 years ago
    Last Synced 25 days ago
    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
    Repository
    Stars 36 on GitHub
    Forks 13 on GitHub
    repos.ecosyste.ms
    Rankings on pypi.org
    Forks Top 9.8%