Metadata-Version: 1.0
Name: qml
Version: 0.4.0.21
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](https://travis-ci.org/qmlcode/qml.svg?branch=master)](https://travis-ci.org/qmlcode/qml) [![doi](https://badge.fury.io/py/qml.svg)](https://badge.fury.io/py/qml) [![doi](https://zenodo.org/badge/89045103.svg)](https://zenodo.org/badge/latestdoi/89045103)
        
        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 Universität 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.
        
        
        
Keywords: Machine Learning,Quantum Chemistry
Platform: Any
