#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
#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。
#计算机科学#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...
#计算机科学#python实现GBDT的回归、二分类以及多分类，将算法流程详情进行展示解读并可视化，庖丁解牛地理解GBDT。Gradient Boosting Decision Trees regression, dichotomy and multi-classification are realized based on python, and the details of algorithm flow a...
#计算机科学#ThunderGBM: Fast GBDTs and Random Forests on GPUs
#计算机科学#A self-generalizing gradient boosting machine that doesn't need hyperparameter optimization
#计算机科学#A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting, Random Forest and Adaboost w/categorical ...
#计算机科学#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...
#计算机科学#A repository contains more than 12 common statistical machine learning algorithm implementations. 常见10余种机器学习算法原理与实现及视频讲解。@月来客栈 出品
#计算机科学#An end-to-end machine learning and data mining framework on Hadoop
#计算机科学#numpy 实现的 周志华《机器学习》书中的算法及其他一些传统机器学习算法
This is the official clone for the implementation of the NIPS18 paper Multi-Layered Gradient Boosting Decision Trees (mGBDT) .
A "build to learn" Alpha Zero implementation using Gradient Boosted Decision Trees (LightGBM)
[ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples
#计算机科学#A memory efficient GBDT on adaptive distributions. Much faster than LightGBM with higher accuracy. Implicit merge operation.
