crop-yield-estimate

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.

AI比赛相关信息汇总

Machine Learning University: Decision Trees and Ensemble Methods

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

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

Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"

hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating the results on an independent validation set. hgboost can be applied for classification and regression tasks.