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Readme
Olympus
provides a consistent and easy-to-use framework for benchmarking optimization algorithms. With olympus
you can:
You can find more details in the documentation.
Olympus
can be installed with pip
:
pip install olymp
The installation only requires:
python >= 3.6
numpy
pandas
Additional libraries are required to use specific modules and objects. Olympus
will alert you about these requirements as you try access the related functionality.
Olympus
is research software. If you make use of it in scientific publications, please cite the following article:
@misc{olympus,
title={Olympus: a benchmarking framework for noisy optimization and experiment planning},
author={Florian Häse and Matteo Aldeghi and Riley J. Hickman and Loïc M. Roch and Melodie Christensen and Elena Liles and Jason E. Hein and Alán Aspuru-Guzik},
year={2020},
eprint={2010.04153},
archivePrefix={arXiv},
primaryClass={stat.ML}
}
Olympus
is distributed under an MIT License.
FAQs
Benchmarking framework for noisy optimization and experiment planning
We found that olymp demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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