#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...
翻译 - 快速，可扩展，高性能的“决策树加速梯度”库，用于对Python，R，Java，C ++进行排名，分类，回归和其他机器学习任务。支持在CPU和GPU上进行计算。
CatBoost tutorials repository
The repository to showcase the best framework for tabular data - the Awesome CatBoost
Standalone application for plotting charts with different training statistics in a browser.
An extension of CatBoost to probabilistic modelling
Catboost Go Wrapper
A small tutorial to demonstrate the power of CatBoost Algorithm
A conda-smithy repository for catboost.
Python AutoML for Trading Systems and Sports Betting
Gradient Boosting Machine (XGBoost, CatBoost, RandomForest, Decision Tree, Scikit learn) based network intrusion detection method, on imbalanced CIC-IDS-2018 dataset
配电网负荷预测，BP神经网络，Cart决策树，GDBT，CatBoost
Focus on decision tree and derivatives
三大boosting算法的工程实现 XGBoost、LightGBM、Catboost原理实现及常见面试问题总结，以及其他理解深刻的机器学习、深度学习文章备份
该项目主要是自学过程中对于一些知识点的整理，项目整体分为四部分，分别是算法、工程、工具和数学知识。算法部分主要是常用的机器学习（LR、SVM、树模型、XGBoost、LightGBM和CatBoost等）和深度学习算法（NLP和CV以及一些基础知识），工程部分主要是spark和hive