GitHub topics: gbdt

Repositories

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++ - Size: 32.1 MB - Last synced at: about 2 hours ago - Pushed at: about 21 hours ago - Stars: 26,850 - Forks: 8,766

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++ - Size: 22.5 MB - Last synced at: about 9 hours ago - Pushed at: 4 days ago - Stars: 17,150 - Forks: 3,875

gtzjh/mymodels

Assemble an efficient interpretable machine learning workflow.

Language: Python - Size: 926 KB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 22 - Forks: 2

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: C++ - Size: 1.66 GB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 8,356 - Forks: 1,215

perpetual-ml/perpetual

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

Language: Rust - Size: 792 KB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 458 - Forks: 24

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: Python - Size: 1.09 MB - Last synced at: 12 days ago - Pushed at: 23 days ago - Stars: 472 - Forks: 101

Xtra-Computing/thundergbm

ThunderGBM: Fast GBDTs and Random Forests on GPUs

Language: C++ - Size: 27.1 MB - Last synced at: 12 days ago - Pushed at: about 1 month ago - Stars: 696 - Forks: 88

xiaodaigh/JLBoost.jl

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

Language: Julia - Size: 277 KB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 73 - Forks: 6

cgreer/alpha-zero-boosted

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

Language: Python - Size: 428 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 86 - Forks: 12

kingfengji/mGBDT

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

Language: Python - Size: 1.02 MB - Last synced at: 17 days ago - Pushed at: over 6 years ago - Stars: 103 - Forks: 26

nuanio/xgboost-node

Run XGBoost model and make predictions in Node.js

Language: Cuda - Size: 1.54 MB - Last synced at: 6 days ago - Pushed at: over 7 years ago - Stars: 42 - Forks: 9

ShifuML/shifu

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

Language: Java - Size: 16.1 MB - Last synced at: 19 days ago - Pushed at: 12 months ago - Stars: 252 - Forks: 108

34j/boost-loss

Utilities for easy use of custom losses in CatBoost, LightGBM, XGBoost.

Language: Python - Size: 496 KB - Last synced at: 32 minutes ago - Pushed at: about 2 hours ago - Stars: 9 - Forks: 0

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: Java - Size: 804 KB - Last synced at: 17 days ago - Pushed at: almost 3 years ago - Stars: 348 - Forks: 76

moon-hotel/MachineLearningWithMe

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。

Language: Jupyter Notebook - Size: 35.7 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 254 - Forks: 47

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: Python - Size: 1.06 MB - Last synced at: about 1 month ago - Pushed at: about 3 years ago - Stars: 35 - Forks: 5

closest-git/LiteMORT

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

Language: C++ - Size: 1.47 MB - Last synced at: about 2 months ago - Pushed at: about 5 years ago - Stars: 57 - Forks: 9

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: Python - Size: 2.13 MB - Last synced at: 5 months ago - Pushed at: almost 6 years ago - Stars: 723 - Forks: 196

chenhongge/RobustTrees

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

Language: C++ - Size: 6.59 MB - Last synced at: 27 days ago - Pushed at: over 2 years ago - Stars: 67 - Forks: 11

fabsig/KTBoost

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

Language: Python - Size: 3.46 MB - Last synced at: 15 days ago - Pushed at: over 3 years ago - Stars: 63 - Forks: 19

Azure/fast_retraining 📦

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

Language: Jupyter Notebook - Size: 2.66 MB - Last synced at: 14 days ago - Pushed at: almost 6 years ago - Stars: 54 - Forks: 15

nanxstats/stackgbm

🌳 Stacked Gradient Boosting Machines

Language: R - Size: 1.91 MB - Last synced at: about 23 hours ago - Pushed at: 12 months ago - Stars: 25 - Forks: 1

zhangqibot/PaperCollection

Collection of ML/DL related papers and notes.

Size: 490 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 2 - Forks: 2

Daisy-Zhang/DataMining_Project

Datamining algorithm: Euclidean distance and gbdt.

Language: Python - Size: 14.3 MB - Last synced at: 11 months ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0

duoan/machine-learning-notebook

A notebook repository for tracking learning machine learning notebook.

Language: Jupyter Notebook - Size: 3.07 MB - Last synced at: 12 months ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0

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++ - Size: 206 MB - Last synced at: 3 days ago - Pushed at: almost 3 years ago - Stars: 8 - Forks: 1

HeardACat/TreeGrad

Language: Jupyter Notebook - Size: 117 KB - Last synced at: 12 days ago - Pushed at: about 5 years ago - Stars: 21 - Forks: 5

Fredick-nc/Machine-Learning-Course-Projects

Classification and Regression problems

Language: Jupyter Notebook - Size: 3.55 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

sahildigikar15/Amazon-Fine-Food-Reviews

A Classification problem, given text review to determine whether the review is +ve or -ve using various ML algorithms. Here we are finding the model that peforms well using AUC as a metric.

Language: Jupyter Notebook - Size: 12 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0

Albertsr/Machine-Learning

LR / SVM / XGBoost / RandomForest etc.

Language: Jupyter Notebook - Size: 3.9 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 26 - Forks: 10

muyinanhai/ad-preditor

7th in a competition organised by ICT

Language: R - Size: 13.7 KB - Last synced at: over 1 year ago - Pushed at: over 9 years ago - Stars: 24 - Forks: 13

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: Python - Size: 2.9 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 202 - Forks: 33

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: Python - Size: 2.54 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 49 - Forks: 6

interstellarninja/gbdt-classification

Binary classification using gbdt model with catboost and hyperparameter tuning with optuna and dask on Saturn Cloud

Language: Jupyter Notebook - Size: 63.5 KB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

ten-blue-links/cikm20

Dataset and experiments from the CIKM 2020 Resource Track

Language: Shell - Size: 19.4 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 1

andyharless/iitagne_dsc

First place IITAGNE 2019 Data Science Challenge solution

Language: Jupyter Notebook - Size: 231 KB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 1

lyg5623/lightgbm_predict4j

A java implementation of LightGBM predicting part

Language: Java - Size: 1.53 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 82 - Forks: 36

fabsig/GradientNewtonBoosting

Comparing gradient and Newton boosting

Language: Python - Size: 29.9 MB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 0

RandolphVI/Music-Recommendation-System

KKBox's Music Recommendation Challenge on Kaggle.

Language: Python - Size: 147 KB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 27 - Forks: 7

xiecong/Simple-Implementation-of-ML-Algorithms

My simplest implementations of common ML algorithms

Language: Python - Size: 25.4 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 17 - Forks: 10

yanshengjia/hierarchical-classifier

A hierarchical classification system based on traditional machine learning models (LR, SVC, GBDT, RF) and deep learning models (LSTM + Attention)

Language: Python - Size: 8.76 MB - Last synced at: 12 months ago - Pushed at: almost 7 years ago - Stars: 3 - Forks: 2

qiyiping/gbdt

Language: C++ - Size: 597 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 94 - Forks: 70

class-tools/Learning-Focus

An AI application that helps you focus on learning.

Language: C++ - Size: 144 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 5 - Forks: 1

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++ - Size: 869 KB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 21 - Forks: 6

jrothschild33/FudanUniversity-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 Notebook - Size: 26.9 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 20 - Forks: 8

Related Keywords

gbdt 58 machine-learning 32 xgboost 22 lightgbm 16 gbm 15 decision-trees 13 python 10 gradient-boosting 10 random-forest 9 gbrt 8 kaggle 7 logistic-regression 7 adaboost 7 catboost 7 svm 6 naive-bayes-classifier 5 data-mining 5 gradient-boosting-decision-trees 5 data-science 4 pca 4 classification 4 gpu 3 artificial-intelligence 3 boosting 3 deep-learning 3 sklearn 3 ensemble-learning 3 gradient-boosting-machine 3 linear-regression 3 boosting-algorithms 3 numpy 3 decision-tree 3 boosted-trees 2 hadoop 2 autograd 2 information-retrieval 2 paper 2 ktboost 2 factorization-machines 2 clustering 2 decision-tree-classifier 2 cnn 2 knn 2 machine-learning-algorithms 2 naive-bayes 2 svm-classifier 2 automl 2 randomforest 2 bagging 2 gradient-boosted-trees 2 lasso 2 cart 2 optuna 2 neural-network 2 knn-classifier 2 r 2 support-vector-machines 2 pandas 2 cuda 2 distributed 2 distributed-systems 2 categorical-features 2 hackathon 1 gbdt-lr 1 lr 1 iitagne 1 stock-market 1 java 1 alphazero 1 realtime-predict 1 libffm 1 python3 1 regression 1 mnist 1 dask 1 ensemble 1 googlecolab 1 hyperparameter-tuning 1 k-fold-cross-validation 1 mice 1 dimension-reduction 1 saturn-cloud 1 cikm 1 feature-extraction 1 lambdamart 1 advertisement 1 kernelpca 1 ltr 1 music-recommendation 1 adversarial-machine-learning 1 gbdt-model 1 robustness-verification 1 knn-classification 1 pca-analysis 1 cascade-ranking-models 1 learning-to-rank 1 wsdm 1 boosting-tree 1 bnn 1 svr 1