#计算机科学# XGBoost的全称是经过优化的分布式梯度提升库,旨在高效、灵活且可移植。提供Python、R、Java、Scala等库
IPython notebook for PyData SF 2014 tutorial: "Gradient Boosted Regression Trees in scikit-learn"
#计算机科学#LightGBM是一个基于决策树算法的分布式梯度提升框架(GBT、GBDT、GBRT、GBM或MART),用于排名、分类和许多其他机器学习任务。
Java版的GBRT及RF,曾在天池大数据竞赛中获得2次TOP10
pure Go implementation of prediction part for GBRT (Gradient Boosting Regression Trees) models from popular frameworks
This is the repository of a GBRT related project conducted in 2022 with my friend Zijun Liang for publishing papers.
Geothermal Heat Flux Prediction in Greenland with Gradient Boosted Regression Trees
ARIMA, DBN,FFNN,GBRT,LSTM,RFR,SEQ2SEQ,SVR,XGBOOST
Learn and design nanophotonic structures, surface plasmon devices... Using powerful machine learning algorithms(CNN, GBRT, differentiable forest...)
Ytk-learn is a distributed machine learning library which implements most of popular machine learning algorithms(GBDT, GBRT, Mixture Logistic Regression, Gradient Boosting Soft Tree, Factorization Mac...