#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#H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Me...
#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 ...
A full pipeline AutoML tool for tabular data
#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#Performance of various open source GBM implementations
Use systemd to allow for standalone operation of kodi.
#计算机科学#This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use their own XGBoost scripts in SageMaker.
Train Gradient Boosting models that are both high-performance *and* Fair!
#计算机科学#Ruby Scoring API for PMML
#计算机科学#Building Decision Trees From Scratch In Python
[ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples
