catboost 开源项目推荐（2,012 个）

catboost /catboost

一个快速、可扩展、高性能的决策树梯度提升库，用于 Python、R、Java、C++ 中的排序、分类、回归及其他机器学习任务。支持在 CPU 和 GPU 上计算。

mljar /mljar-supervised

用于表格数据上的AutoML的Python包，具有特征工程、超参数调优、简化和自动文档

benedekrozemberczki /awesome-decision-tree-papers

A collection of research papers on decision, classification and regression trees with implementations.

skforecast /skforecast

Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models

catboost /tutorials

CatBoost tutorials repository

benedekrozemberczki /awesome-gradient-boosting-papers

A curated list of gradient boosting research papers with implementations.

HunterMcGushion /hyperparameter_hunter

跨机器学习算法和库实现的简单超参数优化和自动结果保存

kossisoroyce /timber

Ollama for classical ML models. AOT compiler that turns XGBoost, LightGBM, scikit-learn, CatBoost & ONNX models into native C99 inference code. One command to load, one command to serve. 336x faster than Python inference.

HuangCongQing /AI_competitions

AI比赛相关信息汇总

Western-OC2-Lab /Intrusion-Detection-System-Using-Machine-Learning

IDS-ML代码：使用机器学习算法开发入侵检测系统（决策树、随机森林、额外树、XGBoost、堆叠、k-means、Bayesian优化..）

yzkang /My-Data-Competition-Experience

本人多次机器学习与大数据竞赛Top5的经验总结，满满的干货，拿好不谢

DataCanvasIO /HyperGBM

A full pipeline AutoML tool for tabular data

aws-samples /amazon-sagemaker-local-mode

亚马逊SageMaker本地模式示例

aws-samples /aws-machine-learning-university-dte

Machine Learning University: Decision Trees and Ensemble Methods

AdrianAntico /AutoQuant

Automation framework for machine learning, forecasting, model evaluation, and interpretation.

sharmapratik88 /AIML-Projects

我作为 Great Learning 的 PGP - 人工智能与机器学习项目一部分完成的项目

catboost /benchmarks

Comparison tools

StatMixedML /CatBoostLSS

An extension of CatBoost to probabilistic modelling

duoan /ijcai18-mama-ads-competition

IJCAI-18 阿里妈妈搜索广告转化预测初赛方案

xiaodaigh /JLBoost.jl

A 100%-Julia implementation of Gradient-Boosting Regression Tree algorithms