Popular GitHub Repositories for 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.

Simple and Distributed Machine Learning

Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

A library for debugging/inspecting machine learning classifiers and explaining their predictions

Microsoft Distributed Machine Learning Toolkit

An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more

AI比赛相关信息汇总

? The experiment tracker for foundation model training

pure Go implementation of prediction part for GBRT (Gradient Boosting Regression Trees) models from popular frameworks

An extension of LightGBM to probabilistic modelling

利用lightgbm做(learning to rank)排序学习，包括数据处理、模型训练、模型决策可视化、模型可解释性以及预测等。Use LightGBM to learn ranking, including data processing, model training, model decision visualization, model interpretability and prediction, etc.

Machine Learning University: Decision Trees and Ensemble Methods

An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems

R package for automation of machine learning, forecasting, model evaluation, and model interpretation

Code for WWW'19 "Unbiased LambdaMART: An Unbiased Pairwise Learning-to-Rank Algorithm", which is based on LightGBM

Performance of various open source GBM implementations

Nyoka is a Python library that helps to export ML models into PMML (PMML 4.4.1 Standard).

A tour through recommendation algorithms in python [IN PROGRESS]

Using Kafka-Python to illustrate a ML production pipeline

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