Repository Index

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.).

• machine-learning
• data-science
• r
• python

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

• bayesian-optimization
• bayesian-optimisation
• hyperparameter-optimization
• hyperparameter-tuning

A curated list of gradient boosting research papers with implementations.

• gradient-boosting
• gradient-boosting-classifier
• gradient-boosting-machine
• gradient-boosted-trees

A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.

• python
• machine-learning
• random-forest
• tensorflow