lightgbm
There are 776 repositories under lightgbm topic.
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.
microsoft/SynapseML
Simple and Distributed Machine Learning
mljar/mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
microsoft/DMTK
Microsoft Distributed Machine Learning Toolkit
TeamHG-Memex/eli5
A library for debugging/inspecting machine learning classifiers and explaining their predictions
BayesWitnesses/m2cgen
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
mars-project/mars
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
benedekrozemberczki/awesome-decision-tree-papers
A collection of research papers on decision, classification and regression trees with implementations.
ClimbsRocks/auto_ml
[UNMAINTAINED] Automated machine learning for analytics & production
AxeldeRomblay/MLBox
MLBox is a powerful Automated Machine Learning python library.
DeepWisdom/AutoDL
Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.
ryfeus/lambda-packs
Precompiled packages for AWS Lambda
xorbitsai/xorbits
Scalable Python DS & ML, in an API compatible & lightning fast way.
benedekrozemberczki/awesome-gradient-boosting-papers
A curated list of gradient boosting research papers with implementations.
JoaquinAmatRodrigo/skforecast
Time series forecasting with scikit-learn models
Nixtla/mlforecast
Scalable machine 🤖 learning for time series forecasting.
HunterMcGushion/hyperparameter_hunter
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
elastic/eland
Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch
SeldonIO/MLServer
An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more
HuangCongQing/AI_competitions
AI比赛相关信息汇总
openscoring/openscoring
REST web service for the true real-time scoring (<1 ms) of Scikit-Learn, R and Apache Spark models
neptune-ai/neptune-client
📘 The MLOps stack component for experiment tracking
cerlymarco/shap-hypetune
A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
linkedin/FastTreeSHAP
Fast SHAP value computation for interpreting tree-based models
minerva-ml/open-solution-home-credit
Open solution to the Home Credit Default Risk challenge :house_with_garden:
dmitryikh/leaves
pure Go implementation of prediction part for GBRT (Gradient Boosting Regression Trees) models from popular frameworks
yzkang/My-Data-Competition-Experience
本人多次机器学习与大数据竞赛Top5的经验总结，满满的干货，拿好不谢
neptune-ai/open-solution-mapping-challenge
Open solution to the Mapping Challenge :earth_americas:
Western-OC2-Lab/Intrusion-Detection-System-Using-Machine-Learning
Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)
DataCanvasIO/HyperGBM
A full pipeline AutoML tool for tabular data
siboehm/lleaves
Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.
aipredict/ai-deployment
关注AI模型上线、模型部署
LenzDu/Kaggle-Competition-Favorita
5th place solution for Kaggle competition Favorita Grocery Sales Forecasting
jiangnanboy/learning_to_rank
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.
jrzaurin/LightGBM-with-Focal-Loss
An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems
aws-samples/amazon-sagemaker-local-mode
Amazon SageMaker Local Mode Examples