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
==================================================
|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
Release files for qml 0.4.0.27
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| qml-0.4.0.27.tar.gz | 41.5 kB | Details |
Release files / qml-0.4.0.27.tar.gz
| Download URL | qml-0.4.0.27.tar.gz |
|---|---|
| Size | 41.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
87ed611c214cf84bded1513243a03a00964578ad611306bbd42c673f88f5bb02
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
Python-urllib/2.7
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