Projects in Awesome Lists tagged with gbdt

https://github.com/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

distributed-systems gbdt gbm gbrt machine-learning xgboost

Last synced: 12 May 2025

https://github.com/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.

data-mining decision-trees distributed gbdt gbm gbrt gradient-boosting kaggle lightgbm machine-learning microsoft parallel python r

Last synced: 12 May 2025

https://github.com/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.

data-mining decision-trees distributed gbdt gbm gbrt gradient-boosting kaggle lightgbm machine-learning microsoft parallel python r

Last synced: 23 Apr 2025

https://github.com/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.

data-mining decision-trees distributed gbdt gbm gbrt gradient-boosting kaggle lightgbm machine-learning microsoft parallel python r

Last synced: 12 Mar 2025

https://github.com/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.

big-data catboost categorical-features coreml cuda data-mining data-science decision-trees gbdt gbm gpu gpu-computing gradient-boosting kaggle machine-learning python r tutorial

Last synced: 12 May 2025

https://github.com/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

gbdt gnm gradient-boosting gradient-boosting-decision-trees machine-learning

Last synced: 26 Nov 2024

https://github.com/Xtra-Computing/thundergbm

ThunderGBM: Fast GBDTs and Random Forests on GPUs

cuda gbdt gpu machine-learning random-forest

Last synced: 12 Apr 2025

https://github.com/xtra-computing/thundergbm

ThunderGBM: Fast GBDTs and Random Forests on GPUs

cuda gbdt gpu machine-learning random-forest

Last synced: 11 Apr 2025

https://github.com/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

adaboost c45-trees cart categorical-features data-mining data-science decision-trees gbdt gbm gbrt gradient-boosting gradient-boosting-machine gradient-boosting-machines id3 kaggle machine-learning python random-forest regression-tree

Last synced: 14 May 2025

https://github.com/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).

distributed factorization-machines gbdt gbm hadoop logistic-regression machine-learning spark

Last synced: 06 Apr 2025

https://github.com/perpetual-ml/perpetual

A self-generalizing gradient boosting machine which doesn't need hyperparameter optimization

gbdt gbm gradient-boosted-trees gradient-boosting gradient-boosting-decision-trees kaggle machine-learning python rust

Last synced: 28 Nov 2024

https://github.com/shifuml/shifu

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

bigdata end-to-end-machine-learning gbdt hadoop machine-learning neural-network pipeline random-forest shifu

Last synced: 05 Apr 2025

https://github.com/kingfengji/mgbdt

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

gbdt gradient-boosting-decision-trees mgbdt representation-learning target-propagation

Last synced: 26 Mar 2025

https://github.com/kingfengji/mGBDT

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

gbdt gradient-boosting-decision-trees mgbdt representation-learning target-propagation

Last synced: 27 Mar 2025

https://github.com/xiaodaigh/jlboost.jl

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

catboost data-science gbdt gbrt lightgbm machine-learning tree tree-boosting-algorithms xgboost

Last synced: 20 Feb 2025

https://github.com/chenhongge/RobustTrees

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

adversarial-examples decision-trees gbdt gbm gbrt robust-decision-trees xgboost

Last synced: 27 Mar 2025

https://github.com/fabsig/ktboost

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

artificial-intelligence boosting gbdt gbm grabit ktboost machine-learning statistics