catboost topic
awesome-decision-tree-papers
A collection of research papers on decision, classification and regression trees with implementations.
awesome-gradient-boosting-papers
A curated list of gradient boosting research papers with implementations.
recsys2019
The complete code and notebooks used for the ACM Recommender Systems Challenge 2019
HyperGBM
A full pipeline AutoML tool for tabular data
catboost
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computa...
amazon-sagemaker-local-mode
Amazon SageMaker Local Mode Examples
hyperparameter_hunter
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation