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: 32.2 MB - Last synced at: about 23 hours ago - Pushed at: 4 days ago - Stars: 26,882 - Forks: 8,765

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++ - Size: 23.2 MB - Last synced at: about 24 hours ago - Pushed at: 3 days ago - Stars: 17,175 - Forks: 3,875

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: 12 days ago - Pushed at: about 3 years ago - Stars: 37 - Forks: 5

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: 24 days ago - Pushed at: about 1 month ago - Stars: 472 - Forks: 101

Evovest/EvoTrees.jl

Boosted trees in Julia

Language: Julia - Size: 46.7 MB - Last synced at: 2 days ago - Pushed at: 10 days ago - Stars: 182 - Forks: 22

xiaodaigh/JLBoost.jl

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

Language: Julia - Size: 277 KB - Last synced at: about 2 months ago - Pushed at: 5 months ago - Stars: 73 - Forks: 6

chenhongge/RobustTrees

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

Language: C++ - Size: 6.59 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 67 - Forks: 11

alfozan/mlflow-example

This repository provides an example of dataset preprocessing, GBRT (Gradient Boosted Regression Tree) model training and evaluation, model tuning and finally model serving (REST API) in a containerized environment using MLflow tracking, projects and models modules.

Language: Jupyter Notebook - Size: 6.95 MB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 27 - Forks: 18

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: 4 days ago - Pushed at: almost 6 years ago - Stars: 54 - Forks: 15

qiyiping/gbdt

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

agoor97/Regression_Model_with_Deployment

This Repo is a Job for building a Regression Model and Deploy the Model using Flask and host at heroku

Language: Jupyter Notebook - Size: 1.09 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 2