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
-
Updated
Oct 21, 2025 - C++
#
gbdt
Here are 76 public repositories matching this topic...
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.
microsoft python machine-learning data-mining r parallel distributed kaggle gbdt gbm lightgbm gbrt decision-trees gradient-boosting
-
Updated
Oct 21, 2025 - C++
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.
python data-science machine-learning data-mining tutorial r big-data gpu cuda kaggle gbdt gbm gpu-computing decision-trees gradient-boosting coreml catboost categorical-features
-
Updated
Oct 21, 2025 - C++
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
-
Updated
Jun 15, 2019 - Python
ThunderGBM: Fast GBDTs and Random Forests on GPUs
-
Updated
Mar 19, 2025 - C++
F440
A self-generalizing gradient boosting machine that doesn't need hyperparameter optimization
python rust data-science machine-learning kaggle gbdt gbm gradient-boosting gradient-boosted-trees gradient-boosting-decision-trees
-
Updated
Sep 28, 2025 - Rust
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
python data-science machine-learning data-mining random-forest kaggle id3 gbdt gbm gbrt gradient-boosting-machine cart adaboost decision-trees gradient-boosting c45-trees categorical-features gradient-boosting-machines regression-tree
-
Updated
Jul 9, 2025 - Python
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).
-
Updated
Jul 6, 2022 - Java
A repository contains more than 12 common statistical machine learning algorithm implementations. 常见10余种机器学习算法原理与实现及视频讲解。@月来客栈 出品
python machine-learning clustering svm naive-bayes machine-learning-algorithms kd-tree pca self-training gbdt ensemble-learning cart adaboost hca knn decision-tree-classifier svm-classifier hierarchical-clustering dbscan-clustering
-
Updated
Oct 19, 2025 - Jupyter Notebook
An end-to-end machine learning and data mining framework on Hadoop
machine-learning hadoop neural-network pipeline random-forest bigdata gbdt shifu end-to-end-machine-learning
-
Updated
May 13, 2024 - Java
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
machine-learning clustering numpy svm regression python3 classification gbdt ensemble decision-tree dimension-reduction boosting lr
-
Updated
Dec 6, 2019 - Python
This is the official clone for the implementation of the NIPS18 paper Multi-Layered Gradient Boosting Decision Trees (mGBDT) .
-
Updated
Nov 19, 2018 - Python
machine-learning gbdt gbm gbrt gradient-boosting-machine boosting-algorithms gradient-boosting gradient-boosting-decision-trees
-
Updated
Jun 19, 2022 - C++
A java implementation of LightGBM predicting part
-
Updated
Dec 5, 2023 - Java
A 100%-Julia implementation of Gradient-Boosting Regression Tree algorithms
-
Updated
Nov 28, 2024 - Julia
[ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples
-
Updated
Jul 12, 2025 - C++
A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and loss functions.
-
Updated
Nov 22, 2021 - 7090 Python
A memory efficient GBDT on adaptive distributions. Much faster than LightGBM with higher accuracy. Implicit merge operation.
machine-learning high-performance-computing gbdt data-mining-algorithms binary-classification gradient-boosting regression-algorithms
-
Updated
Mar 7, 2020 - C++
Show how to perform fast retraining with LightGBM in different business cases
distributed-systems benchmark machine-learning azure gpu kaggle xgboost gbdt gbm lightgbm gbrt boosted-trees
-
Updated
Jul 18, 2019 - Jupyter Notebook
Improve this page
Add a description, image, and links to the gbdt topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the gbdt topic, visit your repo's landing page and select "manage topics."