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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.).
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MLBox is a powerful Automated Machine Learning python library.
Alphapy1,003
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Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost
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A curated list of gradient boosting research papers with implementations.
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Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
Daily Deeplearning532
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