gbdt

There are 66 repositories under gbdt topic.

  • dmlc/xgboost

    Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

    Language:C++25.6k9125.1k8.7k
  • LightGBM

    microsoft/LightGBM

    A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

    Language:C++16.1k4363.3k3.8k

  • catboost/catboost

    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 computation on CPU and GPU.

    Language:Python7.8k1922.3k1.2k

  • Freemanzxp/GBDT_Simple_Tutorial

    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 are displayed, interpreted and visualized to help readers better understand Gradient Boosting Decision Trees

    Language:Python706128195

  • Xtra-Computing/thundergbm

    ThunderGBM: Fast GBDTs and Random Forests on GPUs

    Language:C++687258184

  • serengil/chefboost

    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 features support for Python

    Language:Python4431847101

  • kanyun-inc/ytk-learn

    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 Machines, Field-aware Factorization Machines, Logistic Regression, Softmax).

    Language:Java347361276

  • ShifuML/shifu

    An end-to-end machine learning and data mining framework on Hadoop

    Language:Java25042444110

  • moon-hotel/MachineLearningWithMe

    A repository contains more than 12 common statistical machine learning algorithm implementations. 常见机器学习算法原理与实现

    Language:Python2325041

  • fengyang95/tiny_ml

    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

    Language:Python2115136

  • kingfengji/mGBDT

    This is the official clone for the implementation of the NIPS18 paper Multi-Layered Gradient Boosting Decision Trees (mGBDT) .

    Language:Python997825

  • qiyiping/gbdt

    Language:C++9312569

  • cgreer/alpha-zero-boosted

    A "build to learn" Alpha Zero implementation using Gradient Boosted Decision Trees (LightGBM)

    Language:Python816210

  • lyg5623/lightgbm_predict4j

    A java implementation of LightGBM predicting part

    Language:Java800537

  • xiaodaigh/JLBoost.jl

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

    Language:Julia684226

  • chenhongge/RobustTrees

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

    Language:C++657311

  • fabsig/KTBoost

    A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and loss functions.

    Language:Python5761019

  • closest-git/LiteMORT

    A memory efficient GBDT on adaptive distributions. Much faster than LightGBM with higher accuracy. Implicit merge operation.

    Language:C++56969

  • Azure/fast_retraining

    Show how to perform fast retraining with LightGBM in different business cases

    Language:Jupyter Notebook55214413

  • nyk510/gradient-boosted-decision-tree

    GBDT (Gradient Boosted Decision Tree: 勾配ブースティング) のpythonによる実装

    Language:Python49256

  • zhaoyichanghong/machine_learing_algo_python

    implement the machine learning algorithms by python for studying

    Language:Python442121

  • nuanio/xgboost-node

    Run XGBoost model and make predictions in Node.js

    Language:Cuda38688

  • yubin-park/bonsai-dt

    Programmable Decision Tree Framework

    Language:Python34746

  • RandolphVI/Music-Recommendation-System

    KKBox's Music Recommendation Challenge on Kaggle.

    Language:Python31217

  • rishiraj/autolgbm

    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.

    Language:Python31125

  • jrothschild33/Fudan-DataMining

    2020 Spring Fudan University Data Mining Course HW by prof. Zhu Xuening. 复旦大学大数据学院2020年春季课程-数据挖掘（DATA620007）包含数据挖掘算法模型：Linear Regression Model、Logistic Regression Model、Linear Discriminant Analysis、K-Nearest Neighbour、Naive Bayes Classifier、Decision Tree Model、AdaBoost、Gradient Boosting Decision Tree(GBDT)、XGBoost、Random Forest Model、Support Vector Machine、Principal Component Analysis(PCA)

    Language:Jupyter Notebook292011

  • Albertsr/Machine-Learning

    LR / SVM / XGBoost / RandomForest etc.

    Language:Jupyter Notebook272011
  • stackgbm

    nanxstats/stackgbm

    🌳 Stacked Gradient Boosting Machines

    Language:R253131

  • chenhongge/treeVerification

    [NeurIPS 2019] H. Chen*, H. Zhang*, S. Si, Y. Li, D. Boning and C.-J. Hsieh, Robustness Verification of Tree-based Models (*equal contribution)

    Language:C++24216

  • muyinanhai/ad-preditor

    7th in a competition organised by ICT

    Language:R242013

  • guicunbin/Tencent_Social_Advertising_Algorithm_Competition

    第一届腾讯社交广告高校算法大赛Tencent_2017_contest

    Language:Python231011

  • 8bit-pixies/TreeGrad

    Language:Jupyter Notebook21265

  • xiecong/Simple-Implementation-of-ML-Algorithms

    My simplest implementations of common ML algorithms

    Language:Python202113

  • rmit-ir/joint-cascade-ranking

    Joint Optimization of Cascade Ranking Models (WSDM 19)

    Language:Python12913

  • brightmart/machine_learning

    machine learning applied to NLP without deep learning

    Language:Python8405

  • loretanr/dp-gbdt

    GBDT learning + differential privacy. Standalone C++ implementation of "DPBoost" (Li et al.). There are further hardened & SGX versions of the code.

    Language:C++8101