108 Open Source Lightgbm Software Projects
Free and open source lightgbm code projects including engines, APIs, generators, and tools.
Microsoft Lightgbm 13406 ⭐
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.
Eli5 2492 ⭐
A library for debugging/inspecting machine learning classifiers and explaining their predictions
Mars Project Mars 2338 ⭐
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
Adversarial Robustness Toolbox 2748 ⭐
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
M2cgen 2003 ⭐
Awesome Decision Tree Papers 1919 ⭐
A collection of research papers on decision, classification and regression trees with implementations.
Autodl 935 ⭐
Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL [email protected]
Hyperparameter_hunter 681 ⭐
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
Awesome Gradient Boosting Papers 774 ⭐
A curated list of gradient boosting research papers with implementations.
Openscoring 563 ⭐
REST web service for the true real-time scoring (<1 ms) of Scikit-Learn, R and Apache Spark models
Mljar Supervised 1756 ⭐
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
Open Solution Home Credit 403 ⭐
Open solution to the Home Credit Default Risk challenge :house_with_garden:
Leaves 315 ⭐
pure Go implementation of prediction part for GBRT (Gradient Boosting Regression Trees) models from popular frameworks
Kaggle Competition Favorita 201 ⭐
5th place solution for Kaggle competition Favorita Grocery Sales Forecasting
Unbiased_lambdamart 202 ⭐
Code for WWW'19 "Unbiased LambdaMART: An Unbiased Pairwise Learning-to-Rank Algorithm", which is based on LightGBM
Arch Data Science 92 ⭐
Archlinux PKGBUILDs for Data Science, Machine Learning, Deep Learning, NLP and Computer Vision
Lightgbm With Focal Loss 150 ⭐
An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems
Autogbt Alt 76 ⭐
An experimental Python package that reimplements AutoGBT using LightGBM and Optuna.
Alpha Zero Boosted 64 ⭐
A "build to learn" Alpha Zero implementation using Gradient Boosted Decision Trees (LightGBM)
Learning_to_rank 149 ⭐
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.
Open Solution Value Prediction 35 ⭐
Open solution to the Santander Value Prediction Challenge :tropical_fish:
Kaggle Competition Sberbank 31 ⭐
Top 1% rankings (22/3270) code sharing for Kaggle competition Sberbank Russian Housing Market: https://www.kaggle.com/c/sberbank-russian-housing-market
Lightgbmexplainer 22 ⭐
An R package that makes lightgbm models fully interpretable (take reference from https://github.com/AppliedDataSciencePartners/xgboostExplainer)
Forecasting 1.0 21 ⭐
Predictive algorithm for forecasting the mexican stock exchange. Machine Learning approach to forecast price and Indicator behaviours of MACD, Bollinger and SuperTrend strategy
Xgboost Lightgbm Hyperparameter Tuning 37 ⭐
Bayesian Optimization and Grid Search for xgboost/lightgbm
Apartment Interest Prediction 17 ⭐
Predict people interest in renting specific NYC apartments. The challenge combines structured data, geolocalization, time data, free text and images.
Gbdt Algos Performance Tests 16 ⭐
A systematic CPU/GPU performance study of lightgbm and xgboost classifiers for different data shapes and hardware setups.
Open Solution Talking Data 11 ⭐
Open solution to the TalkingData AdTracking Fraud Detection Challenge
Lightgbm Feature Transform 11 ⭐
Eland 323 ⭐
Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch
Remixautoml 179 ⭐
R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, recommenders, and EDA.
Nyoka 155 ⭐
Nyoka is a Python library that helps to export ML models into PMML (PMML 4.4.1 Standard).
Mlserver 148 ⭐
An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more
Lleaves 98 ⭐
Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.
Pwpae Concept Drift Detection And Adaptation 100 ⭐
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.
Aws Machine Learning University Dte 88 ⭐
Machine Learning University: Decision Trees and Ensemble Methods
Shap Hypetune 84 ⭐
A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
Demoapps 35 ⭐
demo applications that show how to deploy offline feature engineering solutions to online in one minute with fedb and nativespark
Deep Learning For Human Activity Recognition 38 ⭐
Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).
Docker Kaggle Ko 24 ⭐
캐글 노트북(Kaggle Notebook) 커널 도커 기반에 한글 폰트, 한글 자연어처리 패키지(konlpy), 형태소 분석기, Timezone 등의 설정이 추가된 도커입니다.
Datascienv 52 ⭐
datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries
Cloudynight 18 ⭐
Code and example data repository for Mommert (2020): Cloud Identification from All-sky Camera Data with Machine Learning, Astronomical Journal, 159
Kaggle Predicting Future Sales 20 ⭐
📈Forecasting Total amount of Products using time-series dataset consisting of daily sales data provided by one of the largest Russian software firms📆