https://github.com/aspuru-guzik-group/golem
Golem: an algorithm for robust experiment and process optimization
Science Score: 20.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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○codemeta.json file
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○.zenodo.json file
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○DOI references
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✓Academic publication links
Links to: arxiv.org -
✓Committers with academic emails
3 of 4 committers (75.0%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (11.5%) to scientific vocabulary
Keywords
Repository
Golem: an algorithm for robust experiment and process optimization
Basic Info
- Host: GitHub
- Owner: aspuru-guzik-group
- License: mit
- Language: Jupyter Notebook
- Default Branch: master
- Homepage: https://aspuru-guzik-group.github.io/golem/
- Size: 16.2 MB
Statistics
- Stars: 18
- Watchers: 4
- Forks: 1
- Open Issues: 3
- Releases: 0
Topics
Metadata Files
README.md
Golem: An algorithm for robust experiment and process optimization
Golem is an algorithm for robust optimization. It can be used in conjunction with any optimization algorithms or
design of experiment strategy of choice. Golem helps identifying optimal solutions that are robust to input uncertainty,
thus ensuring the reproducible performance of optimized experimental protocols and processes. It can be used to analyze
the robustness of past experiments, or to guide experiment planning algorithms toward robust solutions on the fly. For
more details on the algorithm and its behaviour please refer to the publication and
the documentation.
Installation
Golem can be installed with pip:
pip install matter-golem
Dependencies
The installation requires:
* python >= 3.7
* numpy
* scipy >= 1.4
* pandas
* scikit-learn
Citation
Golem is research software. If you make use of it in scientific publications, please cite the following article:
@misc{golem,
title={Golem: An algorithm for robust experiment and process optimization},
author={Matteo Aldeghi and Florian Häse and Riley J. Hickman and Isaac Tamblyn and Alán Aspuru-Guzik},
year={2021},
eprint={2103.03716},
archivePrefix={arXiv},
primaryClass={math.OC}
}
License
Golem is distributed under an MIT License.
Owner
- Name: Aspuru-Guzik group repo
- Login: aspuru-guzik-group
- Kind: organization
- Website: http://aspuru.chem.harvard.edu/
- Repositories: 30
- Profile: https://github.com/aspuru-guzik-group
GitHub Events
Total
- Watch event: 1
- Fork event: 1
Last Year
- Watch event: 1
- Fork event: 1
Committers
Last synced: over 3 years ago
All Time
- Total Commits: 186
- Total Committers: 4
- Avg Commits per committer: 46.5
- Development Distribution Score (DDS): 0.468
Top Committers
| Name | Commits | |
|---|---|---|
| Matteo Aldeghi | m****h@m****e | 99 |
| matteoaldeghi | m****i@v****i | 76 |
| Matteo Aldeghi | m****i@v****i | 6 |
| Flo | h****n@g****m | 5 |
Committer Domains (Top 20 + Academic)
Packages
- Total packages: 1
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Total downloads:
- pypi 74 last-month
- Total dependent packages: 0
- Total dependent repositories: 1
- Total versions: 1
- Total maintainers: 1
pypi.org: matter-golem
Golem: An Algorithm for Robust Experiment and Process Optimization
- Homepage: https://github.com/aspuru-guzik-group/golem
- Documentation: https://matter-golem.readthedocs.io/
- License: MIT
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Latest release: 1.0
published over 5 years ago
Rankings
Maintainers (1)
Dependencies
- m2r2 *
- msmb_theme *
- nbsphinx *
- pandoc *
- sphinx *
- sphinx_rtd_theme *
- numpy *
- pandas *
- scikit-learn *
- scipy >=1.4