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.).
Repository Index
47,133 repositories indexed
1–2 of 2 · Most stars
A curated list of gradient boosting research papers with implementations.