There are 16 repositories under lightgbm 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.
Simple and Distributed Machine Learning
Microsoft Distributed Machine Learning Toolkit
A library for debugging/inspecting machine learning classifiers and explaining their predictions
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
Time Series Forecasting Best Practices & Examples
A collection of research papers on decision, classification and regression trees with implementations.
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
[UNMAINTAINED] Automated machine learning for analytics & production
MLBox is a powerful Automated Machine Learning python library.
Precompiled packages for AWS Lambda
Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.
A curated list of gradient boosting research papers with implementations.
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
REST web service for the true real-time scoring (<1 ms) of Scikit-Learn, R and Apache Spark models
Open solution to the Home Credit Default Risk challenge :house_with_garden:
Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch
Open solution to the Mapping Challenge :earth_americas:
pure Go implementation of prediction part for GBRT (Gradient Boosting Regression Trees) models from popular frameworks
A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
:ledger: Experiment tracking tool and model registry
An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more
5th place solution for Kaggle competition Favorita Grocery Sales Forecasting
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
R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, recommenders, and EDA.
A full pipeline AutoML tool for tabular data
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.
An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems
A tour through recommendation algorithms in python [IN PROGRESS]
Nyoka is a Python library that helps to export ML models into PMML (PMML 4.4.1 Standard).