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The Top 229 Lightgbm Open Source Projects on Github

Categories > Machine Learning > Lightgbm
Lightgbm ⭐ 13,077
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.
Dmtk ⭐ 2,761
Microsoft Distributed Machine Learning Toolkit
Synapseml ⭐ 2,456
Microsoft Machine Learning for Apache Spark
Eli5 ⭐ 2,385
A library for debugging/inspecting machine learning classifiers and explaining their predictions
Mars ⭐ 2,252
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
Forecasting ⭐ 1,990
Time Series Forecasting Best Practices & Examples
M2cgen ⭐ 1,918
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
Awesome Decision Tree Papers ⭐ 1,844
A collection of research papers on decision, classification and regression trees with implementations.
Mljar Supervised ⭐ 1,587
Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning 🚀
Auto_ml ⭐ 1,442
[UNMAINTAINED] Automated machine learning for analytics & production
Mlbox ⭐ 1,242
MLBox is a powerful Automated Machine Learning python library.
Lambda Packs ⭐ 1,038
Precompiled packages for AWS Lambda
Autodl ⭐ 819
Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL [email protected]
Awesome Gradient Boosting Papers ⭐ 742
A curated list of gradient boosting research papers with implementations.
Hyperparameter_hunter ⭐ 635
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
Hypergbm ⭐ 593
A full pipeline AutoML tool for tabular data
Openscoring ⭐ 559
REST web service for the true real-time scoring (<1 ms) of Scikit-Learn, R and Apache Spark models
Open Solution Home Credit ⭐ 400
Open solution to the Home Credit Default Risk challenge 🏡
Ai_competitions ⭐ 367
AI比赛相关信息汇总
Open Solution Mapping Challenge ⭐ 316
Open solution to the Mapping Challenge 🌎
Eland ⭐ 300
Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch
My Data Competition Experience ⭐ 271
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
Leaves ⭐ 230
pure Go implementation of prediction part for GBRT (Gradient Boosting Regression Trees) models from popular frameworks
Gbm Perf ⭐ 180
Performance of various open source GBM implementations
Neptune Client ⭐ 174
Neptune client library - integrate your Python scripts with Neptune
Remixautoml ⭐ 172
R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, recommenders, and EDA.
Recotour ⭐ 147
A tour through recommendation algorithms in python [IN PROGRESS]
Nyoka ⭐ 140
Nyoka is a Python library to export ML models into PMML (PMML 4.4.1 Standard).
Kaggle Competition Favorita ⭐ 138
5th place solution for Kaggle competition Favorita Grocery Sales Forecasting
Unbiased_lambdamart ⭐ 134
Code for WWW'19 "Unbiased LambdaMART: An Unbiased Pairwise Learning-to-Rank Algorithm", which is based on LightGBM
Benchmarks ⭐ 123
Comparison tools
Ai Deployment ⭐ 116
关注AI模型上线、模型部署
Learning_to_rank ⭐ 114
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.
Mlserver ⭐ 92
An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more
Kaggle Recruit Restaurant ⭐ 86
🏆 Kaggle 8th place solution
Arch Data Science ⭐ 83
Archlinux PKGBUILDs for Data Science, Machine Learning, Deep Learning, NLP and Computer Vision
Tencent2017_final_rank28_code ⭐ 75
2017第一届腾讯社交广告高校算法大赛Rank28_code
Ml Pipeline ⭐ 74
Using Kafka-Python to illustrate a ML production pipeline
Autogbt Alt ⭐ 73
An experimental Python package that reimplements AutoGBT using LightGBM and Optuna.
Lightgbm_predict4j ⭐ 70
A java implementation of LightGBM predicting part
Dc Hi_guides ⭐ 70
[Data Castle 算法竞赛] 精品旅行服务成单预测 final rank 11
Ijcai18 Mama Ads Competition ⭐ 68
IJCAI-18 阿里妈妈搜索广告转化预测初赛方案
Jlboost.jl ⭐ 61
A 100%-Julia implementation of Gradient-Boosting Regression Tree algorithms
Alpha Zero Boosted ⭐ 60
A "build to learn" Alpha Zero implementation using Gradient Boosted Decision Trees (LightGBM)
Lleaves ⭐ 57
LLVM-based compiler for LightGBM gradient-boosted trees. Speeds up prediction by ≥10x.
Auto Flow ⭐ 56
AutoFlow : Automatic machine learning workflow modeling platform
Lightgbm ⭐ 56
High performance gradient boosting for Ruby
Avito Demand ⭐ 54
Avito Demand Prediction Challenge 🏬
Amazon Sagemaker Local Mode ⭐ 50
Amazon SageMaker Local Mode Examples
Fast_retraining ⭐ 50
Show how to perform fast retraining with LightGBM in different business cases
Lightgbm With Focal Loss ⭐ 48
An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems
Pwpae Concept Drift Detection And Adaptation ⭐ 47
Implement online learning methods to address concept drift in data streams using the River library. Code for the paper entitled "PWPAE: An Ensemble Framework for Concept Drift Adaptation in IoT Data Streams" accepted in IEEE GlobeCom 2021.
Kaggle Plasticc ⭐ 44
Solution to Kaggle's PLAsTiCC Astronomical Classification Competition
Rosetta_recsys2019 ⭐ 42
The 4th Place Solution to the 2019 ACM Recsys Challenge by Team RosettaAI
Msds696 Masters Final Project ⭐ 41
Earthquake Prediction Challenge with LightGBM and XGBoost
Lightgbm.jl ⭐ 41
LightGBM.jl provides a high-performance Julia interface for Microsoft's LightGBM.
Autotabular ⭐ 41
Automatic machine learning for tabular data. ⚡🔥⚡
Jpmml Sparkml Lightgbm ⭐ 39
JPMML-SparkML plugin for converting LightGBM-Spark models to PMML
Demoapps ⭐ 36
demo applications that show how to deploy offline feature engineering solutions to online in one minute with fedb and nativespark
Open Solution Value Prediction ⭐ 34
Open solution to the Santander Value Prediction Challenge 🐠
Shap Hypetune ⭐ 31
A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
Recsys2019 ⭐ 27
The complete code and notebooks used for the ACM Recommender Systems Challenge 2019
Mobileriskuser ⭐ 27
基于移动网络通讯行为的风险用户识别 (15th/624)
Decision Trees For Ml ⭐ 27
Building Decision Trees From Scratch In Python
Kaggle Competition Sberbank ⭐ 26
Top 1% rankings (22/3270) code sharing for Kaggle competition Sberbank Russian Housing Market: https://www.kaggle.com/c/sberbank-russian-housing-market
Ds Ml Public ⭐ 25
Python Scripts and Jupyter Notebooks
Docker Kaggle Ko ⭐ 22
캐글 노트북(Kaggle Notebook) 커널 도커 기반에 한글 폰트, 한글 자연어처리 패키지(konlpy), 형태소 분석기, Timezone 등의 설정이 추가된 도커입니다.
Mltb ⭐ 22
Machine Learning Tool Box
Kaggle ⭐ 21
Kaggle Kernels (Python, R, Jupyter Notebooks)
Tencent_social_advertising_algorithm_competition ⭐ 21
第一届腾讯社交广告高校算法大赛Tencent_2017_contest
Stackgbm ⭐ 21
🌳 Stacked Gradient Boosting Machines
Lightgbmexplainer ⭐ 21
An R package that makes lightgbm models fully interpretable (take reference from https://github.com/AppliedDataSciencePartners/xgboostExplainer)
Humanorrobot ⭐ 17
a solution for competition of kaggle `Human or Robot`
Text Classification Benchmark ⭐ 16
文本分类基准测试
Apartment Interest Prediction ⭐ 15
Predict people interest in renting specific NYC apartments. The challenge combines structured data, geolocalization, time data, free text and images.
Deep Learning For Human Activity Recognition ⭐ 15
Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).
Xgboost Lightgbm Hyperparameter Tuning ⭐ 14
Bayesian Optimization and Grid Search for xgboost/lightgbm
Quantitative Trading ⭐ 12
量化投资
Open Solution Talking Data ⭐ 11
Open solution to the TalkingData AdTracking Fraud Detection Challenge
Linora ⭐ 10
Simple and efficient tools for data science.
Lightgbm Feature Transform ⭐ 10
lightgbmのfeature-transform（特徴量の非線形化）をすることで、80,000を超える特徴量を線形回帰でも表現できることを示します
Pred Maintenance Siemens ⭐ 9
Predictive Maintenance System for Digital Factory Automation
Boosting Tree Tokenizer ⭐ 9
Gradient Boosting Dicision Tree(LightGBM)を用い、教師ありで自然言語の分かちと形態素の推定を学習＆予想します。名称は珊瑚(sango)にしたい
Ngboost Experiments ⭐ 9
Play around with NGBoost and compare with LightGBM and XGBoost
Arfs ⭐ 9
All Relevant Feature Selection
Oasw Concept Drift Detection And Adaptation ⭐ 9
An online learning method used to address concept drift. Code for the paper entitled "A Lightweight Concept Drift Detection and Adaptation Framework for IoT Data Streams" published in IEEE Internet of Things Magazine.
Mlforecast ⭐ 9
Scalable machine learning based time series forecasting
Dcbit ⭐ 9
Demo from Data Community Bydgoszcz i Toruń, 27.02.2019
Forecasting 1.0 ⭐ 8
Predictive algorithm for forecasting the mexican stock exchange. Machine Learning approach to forecast price and Indicator behaviours of MACD, Bollinger and SuperTrend strategy
Mofc Demand Forecasting With Time Series Analysis ⭐ 8
Time Series Forecasting for the M5 Competition
Afec ⭐ 8
Cross platform audio feature extraction and sound classification tool
Kaggle Predicting Future Sales ⭐ 8
📈Forecasting Total amount of Products using time-series dataset consisting of daily sales data provided by one of the largest Russian software firms📆
Lightgbmdotnet ⭐ 8
A .NET wrapper for the LightGBM machine learning library
Treegrad ⭐ 8
Tree Math ⭐ 7
Math behind all the mainstream tree-based machine learning models
Ml Hairstyle Classification ⭐ 7
Discovering hairstyle trends at a global scale on Instagram. Instagram posts have been clustered together into hairstyles
Cloudynight ⭐ 6
Code and example data repository for Mommert (2020): Cloud Identification from All-sky Camera Data with Machine Learning
Ncaa 2018 Mens March Madness ⭐ 6
March Madness Predictions
Gbt_benchmarks ⭐ 6
Gradient Boosted Trees Mega Benchmark
Hft Price Prediction ⭐ 6
A project of using machine learning model (tree-based) to predict short-term instrument price up or down in high frequency trading.
1-100 of 229 projects
Advertising 📦 9
All Projects
Application Programming Interfaces 📦 120
Applications 📦 181
Artificial Intelligence 📦 72
Blockchain 📦 70
Build Tools 📦 111
Cloud Computing 📦 79
Code Quality 📦 28
Collaboration 📦 30
Command Line Interface 📦 48
Community 📦 81
Companies 📦 60
Compilers 📦 60
Computer Science 📦 74
Configuration Management 📦 39
Content Management 📦 167
Control Flow 📦 197
Data Formats 📦 77
Data Processing 📦 266
Data Storage 📦 132
Economics 📦 60
Frameworks 📦 198
Games 📦 122
Graphics 📦 103
Hardware 📦 148
Integrated Development Environments 📦 47
Learning Resources 📦 147
Legal 📦 28
Libraries 📦 119
Lists Of Projects 📦 21
Machine Learning 📦 336
Mapping 📦 61
Marketing 📦 15
Mathematics 📦 55
Media 📦 228
Messaging 📦 97
Networking 📦 304
Operating Systems 📦 84
Operations 📦 120
Package Managers 📦 52
Programming Languages 📦 229
Runtime Environments 📦 96
Science 📦 42
Security 📦 375
Social Media 📦 26
Software Architecture 📦 70
Software Development 📦 68
Software Performance 📦 57
Software Quality 📦 127
Text Editors 📦 45
Text Processing 📦 131
User Interface 📦 310
User Interface Components 📦 465
Version Control 📦 29
Virtualization 📦 68
Web Browsers 📦 38
Web Servers 📦 25
Web User Interface 📦 194
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