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Tags: Testing
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1–7 of 7 · Most stars

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

Automated Integration Testing and Live Documentation for your API

  • python3
  • python-package
  • pypi-packages
  • scanapi

Python-centric Cookiecutter for Molecular Computational Chemistry Packages

  • cookiecutter
  • python-packages
  • molecular-sciences
  • conda-environment