# QML: A Python Toolkit for Quantum Machine Learning [](https://travis-ci.org/qmlcode/qml) [](https://badge.fury.io/py/qml) [](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.
Release files for qml 0.4.0.18
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| qml-0.4.0.18.tar.gz | 40.1 kB | Details |
Release files / qml-0.4.0.18.tar.gz
| Download URL | qml-0.4.0.18.tar.gz |
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| Size | 40.1 kB |
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