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 computation on CPU and GPU.

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

A collection of research papers on decision, classification and regression trees with implementations.

CatBoost tutorials repository

A curated list of gradient boosting research papers with implementations.

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

AI比赛相关信息汇总

Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)

本人多次机器学习与大数据竞赛Top5的经验总结，满满的干货，拿好不谢

A full pipeline AutoML tool for tabular data

Amazon SageMaker Local Mode Examples

Machine Learning University: Decision Trees and Ensemble Methods

R package for automation of machine learning, forecasting, model evaluation, and model interpretation

Comparison tools

Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning

An extension of CatBoost to probabilistic modelling

IJCAI-18 阿里妈妈搜索广告转化预测初赛方案

A 100%-Julia implementation of Gradient-Boosting Regression Tree algorithms

Automatic machine learning for tabular data. ⚡🔥⚡

AutoFlow : Automatic machine learning workflow modeling platform