Metadata-Version: 1.0
Name: qml
Version: 0.4.0.27
Summary: Quantum Machine Learning
Home-page: https://github.com/qmlcode/qml
Author: Anders S. Christensen
Author-email: andersbiceps@gmail.com
License: UNKNOWN
Description: QML: A Python Toolkit for Quantum Machine Learning
        ==================================================
        
        |Build Status| |doi| |doi|
        
        QML is a Python2/3-compatible toolkit for representation learning of
        properties of molecules and solids.
        
        Current list of contributors:
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
        
        -  Anders S. Christensen (University of Basel)
        -  Felix A. Faber (University of Basel)
        -  Bing Huang (University of Basel)
        -  Lars A. Bratholm (University of Copenhagen)
        -  Alexandre Tkatchenko (University of Luxembourg)
        -  Klaus-Robert Muller (Technische Universitat Berlin/Korea University)
        -  O. Anatole von Lilienfeld (University of Basel)
        
        1) Citing QML:
        --------------
        
        Until the preprint is available from arXiv, please cite this GitHub
        repository as:
        
        ::
        
            AS Christensen, LA Bratholm, FA Faber, B Huang, A Tkatchenko, KR Muller, OA von Lilienfeld (2017) "QML: A Python Toolkit for Quantum Machine Learning" https://github.com/qmlcode/qml
        
        2) Get help:
        ------------
        
        Documentation and installation instruction is found at:
        http://www.qmlcode.org/
        
        3) License:
        -----------
        
        QML is freely available under the terms of the MIT license.
        
        .. |Build Status| image:: https://travis-ci.org/qmlcode/qml.svg?branch=master
           :target: https://travis-ci.org/qmlcode/qml
        .. |doi| image:: https://badge.fury.io/py/qml.svg
           :target: https://badge.fury.io/py/qml
        .. |doi| image:: https://zenodo.org/badge/89045103.svg
           :target: https://zenodo.org/badge/latestdoi/89045103
        
Keywords: Machine Learning,Quantum Chemistry
Platform: Any
