gbrt · GitHub Topics

dmlc / xgboost

#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

gbdt gbrt gbm distributed-systems xgboost 机器学习

C++ 27 k

21 小时前

microsoft / LightGBM

#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。

gbdt gbm 机器学习 data-mining distributed lightgbm gbrt Microsoft decision-trees gradient-boosting Python R parallel kaggle

C++ 17.31 k

3 天前

serengil / chefboost

#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 ...

decision-trees gradient-boosting gradient-boosting-machine random-forest adaboost id3 cart regression-tree gbm data-mining 数据科学 kaggle gbdt gbrt 机器学习 Python categorical-features

Python 478

3 个月前

Evovest / EvoTrees.jl

#计算机科学#Boosted trees in Julia

机器学习 Julia 语言 gradient-boosting gbrt decision-tree regression logistic

Julia 188

1 个月前

qiyiping / gbdt

#计算机科学#

机器学习 boosting-algorithms gbm gradient-boosting gradient-boosting-machine gbdt gbrt

C++ 94

3 年前

xiaodaigh / JLBoost.jl

#计算机科学#A 100%-Julia implementation of Gradient-Boosting Regression Tree algorithms

tree catboost lightgbm gbdt gbrt 机器学习数据科学 xgboost

Julia 74

7 个月前

chenhongge / RobustTrees

[ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples

decision-trees gbrt gbm adversarial-examples gbdt xgboost

C++ 67

3 年前

Azure / fast_retraining

#计算机科学#Show how to perform fast retraining with LightGBM in different business cases

lightgbm xgboost 机器学习 gpu benchmark Azure distributed-systems gbdt gbm gbrt kaggle

Jupyter Notebook 54

6 年前

rishiraj / autolgbm

#计算机科学#LightGBM + Optuna: Auto train LightGBM directly from CSV files, Auto tune them using Optuna, Auto serve best model using FastAPI. Inspired by Abhishek Thakur's AutoXGB.

Python 机器学习 kaggle gbdt gbm lightgbm gbrt decision-trees gradient-boosting 数据科学 tabular-data hyperparameter-optimization automl

Python 37

3 年前

alfozan / mlflow-example

This repository provides an example of dataset preprocessing, GBRT (Gradient Boosted Regression Tree) model training and evaluation, model tuning and finally model serving (REST API) in a containerize...

mlflow scikit-learn gbrt

Jupyter Notebook 27

3 年前

agoor97 / Regression_Model_with_Deployment

#计算机科学#This Repo is a Job for building a Regression Model and Deploy the Model using Flask and host at heroku

机器学习 regression scikit-learn Flask 部署 Heroku xgboost gbrt random-forest

Jupyter Notebook 0

3 年前