Projects: pypi: cmaes
https://packages.ecosyste.ms/registries/pypi.org/packages/cmaes
Lightweight Covariance Matrix Adaptation Evolution Strategy (CMA-ES) implementation for Python 3.
18 versions
Latest release: almost 3 years ago
20 dependent packages
1,898,412 downloads last month
Enhanced Analysis
Educational Contributors:
imamura@ms.k.u-tokyo.ac.jp
Repository Activity:
Repository Owner:
CyberAgent AI Lab (organization)
Academic
README Analysis:
ArXiv Preprint
Science Score: 100/100
Starting Score: 100 points
Bonuses:
-
+20
Educational commit emails
1 contributors with educational email addresses -
+20
Academic repository owner
Repository owned by academic institution -
+15
Institutional repository owner
Repository owned by research institution -
+10
Science terms in README
5 scientific terms found in README -
+6
Academic links
1 academic links found in README
Penalties:
-
-10
PyPI ecosystem
General-purpose ecosystem
Very Likely Science (100)
Papers Mentioning cmaes 1
10.3389/fphys.2017.00917
Uncertainty Quantification Reveals the Importance of Data Variability and Experimental Design Considerations for in Silico Proarrhythmia Risk AssessmentCited by: 66
Author(s): Kelly C. Chang, Sara Dutta, Gary R. Mirams, Kylie A. Beattie, Jiansong Sheng, Phu N. Tran, Min Wu, Wendy Wu, Thomas Colatsky, David G. Strauss, Zhihua Li
Software Mentions: 7
Published: over 8 years ago