szilard / benchm-ml

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.).

Date Created 2015-03-28 (9 years ago)

Commits 522 (last one 5 years ago)

Stargazers 1,869 (0 this week)

Watchers 148 (0 this week)

Forks 334

License mit

Ranking

RepositoryStats indexes 584,353 repositories, of these szilard/benchm-ml is ranked #27,437 (95th percentile) for total stargazers, and #10,617 for total watchers. Github reports the primary language for this repository as R, for repositories using this language it is ranked #29/3,346.

szilard/benchm-ml is also tagged with popular topics, for these it's ranked: python (#1,712/22011), deep-learning (#788/8389), machine-learning (#815/7926), data-science (#270/2103), r (#42/1667), spark (#54/536)

Other Information

szilard/benchm-ml has 2 open pull requests on Github, 12 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 10 open issues and 35 closed issues.

All Topics

r h2o spark python xgboost data-science deep-learning random-forest machine-learning gradient-boosting-machine

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updated: 2024-11-10 @ 09:33pm, id: 33015554 / R_kgDOAffHAg