Topic: lightgbm Goto Github

👇 Here are 788 public repositories matching this topic...

acbull / unbiased_lambdamart
lightgbm,Code for WWW'19 "Unbiased LambdaMART: An Unbiased Pairwise Learning-to-Rank Algorithm", which is based on LightGBM
User: acbull
learning-to-rank lightgbm bias

adrianantico / autoquant
lightgbm,R package for automation of machine learning, forecasting, model evaluation, and model interpretation
User: adrianantico
automated-machine-learning automl catboost classification gpu-acceleration h2o lightgbm multiclass-classification panel-data r regression supervised-learning timeseries unsupervised-learning xgboost

aipredict / ai-deployment
lightgbm,关注AI模型上线、模型部署
User: aipredict
pmml onnx scikit-learn xgboost lightgbm pyspark spark-ml keras tensorflow pytorch

aws-samples / amazon-sagemaker-local-mode
lightgbm,Amazon SageMaker Local Mode Examples
Organization: aws-samples
sagemaker amazon-sagemaker pytorch catboost lightgbm pycharm tensorflow-training pytorch-training sagemaker-processing prophet

aws-samples / aws-machine-learning-university-dte
lightgbm,Machine Learning University: Decision Trees and Ensemble Methods
Organization: aws-samples
machine-learning decision-trees tabular-data random-forest boosting xgboost lightgbm catboost

axelderomblay / mlbox
lightgbm,MLBox is a powerful Automated Machine Learning python library.
User: axelderomblay
Home Page: https://mlbox.readthedocs.io/en/latest/
machine-learning auto-ml kaggle deep-learning stacking pipeline optimization preprocessing encoding prediction distributed xgboost drift classification regression lightgbm keras automated-machine-learning automl data-science

bayeswitnesses / m2cgen
lightgbm,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
Organization: bayeswitnesses
machine-learning scikit-learn statistical-learning xgboost lightgbm java python c javascript go

benedekrozemberczki / awesome-decision-tree-papers
lightgbm,A collection of research papers on decision, classification and regression trees with implementations.
User: benedekrozemberczki
decision-tree decision-tree-classifier gradient-boosting gradient-boosting-machine regression-tree cart machine-learning machine-learning-research random-forest xgboost lightgbm catboost classification-trees decision-tree-model decision-tree-learning classification-model classifier tree-ensemble ensemble-learning statistical-learning

benedekrozemberczki / awesome-gradient-boosting-papers
lightgbm,A curated list of gradient boosting research papers with implementations.
User: benedekrozemberczki
gradient-boosting gradient-boosting-classifier gradient-boosting-machine gradient-boosted-trees gradient-boosting-decision-trees xgboost xgboost-algorithm catboost lightgbm random-forest decision-tree classification-algorithm classification-trees machine-learning deep-learning h2o classifier classification-tree adaboost boosting

catboost / benchmarks
lightgbm,Comparison tools
Organization: catboost
benchmark comparison quality speed gpu ranking classification regression catboost xgboost

cerlymarco / shap-hypetune
lightgbm,A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
User: cerlymarco
feature-selection hyperparameter-optimization lightgbm model-selection parameter-tuning shap xgboost

climbsrocks / auto_ml
lightgbm,[UNMAINTAINED] Automated machine learning for analytics & production
User: climbsrocks
Home Page: http://auto-ml.readthedocs.io
machine-learning data-science automated-machine-learning gradient-boosting scikit-learn python machine-learning-pipelines machine-learning-library production-ready automl

datacanvasio / hypergbm
lightgbm,A full pipeline AutoML tool for tabular data
Organization: datacanvasio
Home Page: https://hypergbm.readthedocs.io/
automl gbm fullpipeline xgboost lightgbm catboost pseudo-labeling adversarial-validation semi-supervised-learning datacleaning

deepwisdom / autodl
lightgbm,Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.
Organization: deepwisdom
Home Page: http://fuzhi.ai
autodl automl nas feature-engineering model-selection full-automl artificial-intelligence lightgbm resnet pytorch

dmitryikh / leaves
lightgbm,pure Go implementation of prediction part for GBRT (Gradient Boosting Regression Trees) models from popular frameworks
User: dmitryikh
machine-learning lightgbm xgboost decision-trees boosting go golang

elastic / eland
lightgbm,Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch
Organization: elastic
Home Page: https://eland.readthedocs.io
python elasticsearch pandas data-analysis machine-learning time-series-forecasting etl big-data dataframe eland

feedzai / fairgbm
lightgbm,Train Gradient Boosting models that are both high-performance *and* Fair!
Organization: feedzai
Home Page: https://arxiv.org/abs/2209.07850
gbm lightgbm fairness fairness-ml gradient-boosting tabular-data

huangcongqing / ai_competitions
lightgbm,AI比赛相关信息汇总
User: huangcongqing
agg ai catboost competitions lightgbm logistic matplotlib sklearn sklearn-classify xgboost

huntermcgushion / hyperparameter_hunter
lightgbm,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
User: huntermcgushion
artificial-intelligence machine-learning hyperparameter-optimization hyperparameter-tuning neural-network keras scikit-learn xgboost lightgbm catboost

jiangnanboy / learning_to_rank
lightgbm,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.
User: jiangnanboy
lightgbm learning-to-rank python shap

joaquinamatrodrigo / skforecast
lightgbm,Time series forecasting with machine learning models
User: joaquinamatrodrigo
Home Page: https://skforecast.org
forecasting scikit-learn machine-learning python data-science exogenous-predictors time-series direct-forecasting multi-series-forecasting multi-step-forecasting

jrzaurin / lightgbm-with-focal-loss
lightgbm,An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems
User: jrzaurin
lightgbm imbalanced-data focal-loss python3

jrzaurin / ml-pipeline
lightgbm,Using Kafka-Python to illustrate a ML production pipeline
User: jrzaurin
machine-learning kafka-python lightgbm hyperopt mlflow hyperparameter-optimization

jrzaurin / recotour
lightgbm,A tour through recommendation algorithms in python [IN PROGRESS]
User: jrzaurin
recommendation-algorithms python3 collaborative-filtering matrix-factorization lightgbm deep-learning

lenzdu / kaggle-competition-favorita
lightgbm,5th place solution for Kaggle competition Favorita Grocery Sales Forecasting
User: lenzdu
deep-learning machine-learning kaggle keras cnn lstm lightgbm python time-series

linkedin / fasttreeshap
lightgbm,Fast SHAP value computation for interpreting tree-based models
Organization: linkedin
explainable-ai interpretability lightgbm machine-learning random-forest shap xgboost

mars-project / mars
lightgbm,Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
Organization: mars-project
Home Page: https://mars-project.readthedocs.io
dask dataframe joblib lightgbm machine-learning numpy pandas python pytorch ray scikit-learn statsmodels tensor tensorflow xgboost

maxhalford / kaggle-recruit-restaurant
lightgbm,:trophy: Kaggle 8th place solution
User: maxhalford
kaggle lightgbm kaggle-recruit-restaurant timeseries

microsoft / dmtk
lightgbm,Microsoft Distributed Machine Learning Toolkit
Organization: microsoft
Home Page: http://www.dmtk.io
dmtk multiverso lightgbm microsoft machine-learning

microsoft / lightgbm
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.
Organization: microsoft
Home Page: https://lightgbm.readthedocs.io/en/latest/
gbdt gbm machine-learning data-mining distributed lightgbm gbrt microsoft decision-trees gradient-boosting

microsoft / synapseml
lightgbm,Simple and Distributed Machine Learning
Organization: microsoft
Home Page: http://aka.ms/spark
spark pyspark azure scala microsoft ml machine-learning databricks cognitive-services lightgbm

minerva-ml / open-solution-home-credit
lightgbm,Open solution to the Home Credit Default Risk challenge :house_with_garden:
Organization: minerva-ml
Home Page: https://www.kaggle.com/c/home-credit-default-risk
machine-learning deep-learning kaggle pipeline feature-engineering reproducible-experiments reproducibility pipeline-framework lightgbm xgboost

miya-su / quantitative-trading
lightgbm,量化投资
User: miya-su
quantitative-trading stock-prediction python quantitative-analysis alpha191 machine-learning lightgbm

mljar / mljar-supervised
lightgbm,Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
Organization: mljar
Home Page: https://mljar.com
automl machine-learning automatic-machine-learning mljar data-science scikit-learn hyperparameter-optimization feature-engineering xgboost random-forest

neptune-ai / neptune-client
lightgbm,📘 The experiment tracker for foundation model training
Organization: neptune-ai
Home Page: https://neptune.ai
pytorch keras lightgbm xgboost optuna tensorflow mlops ml dl rl

neptune-ai / open-solution-mapping-challenge
lightgbm,Open solution to the Mapping Challenge :earth_americas:
Organization: neptune-ai
Home Page: https://www.crowdai.org/challenges/mapping-challenge
data-science machine-learning deep-learning kaggle python satellite-imagery data-science-learning lightgbm unet unet-image-segmentation

nixtla / mlforecast
lightgbm,Scalable machine 🤖 learning for time series forecasting.
Organization: nixtla
Home Page: https://nixtlaverse.nixtla.io/mlforecast
dask forecast forecasting lightgbm machine-learning python time-series xgboost

openscoring / openscoring
lightgbm,REST web service for the true real-time scoring (<1 ms) of Scikit-Learn, R and Apache Spark models
Organization: openscoring
api real-time pmml r scikit-learn apache-spark xgboost lightgbm

ryfeus / lambda-packs
lightgbm,Precompiled packages for AWS Lambda
User: ryfeus
aws aws-lambda hdf keras lightgbm numpy opencv pandas phantomjs pillow python pytorch selenium serverless skimage sklearn spacy tensorflow tesseract wrk

seldonio / mlserver
lightgbm,An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more
Organization: seldonio
Home Page: https://mlserver.readthedocs.io/en/latest/
machine-learning scikit-learn xgboost lightgbm mlflow seldon-core kfserving

siboehm / lleaves
lightgbm,Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.
User: siboehm
Home Page: https://lleaves.readthedocs.io/en/latest/
python lightgbm llvm decision-trees gradient-boosting machine-learning

softwareag / nyoka
lightgbm,Nyoka is a Python library that helps to export ML models into PMML (PMML 4.4.1 Standard).
Organization: softwareag
pmml python python-library nyoka pmml-exporter machine-learning scikit-learn xgboost lightgbm statsmodels

statmixedml / lightgbmlss
lightgbm,An extension of LightGBM to probabilistic modelling
User: statmixedml
Home Page: https://statmixedml.github.io/LightGBMLSS/
machine-learning lightgbm gamlss uncertainty-estimation prediction-intervals distributional-regression probabilistic-forecasting normalizing-flows mixture-density-model

szilard / gbm-perf
lightgbm,Performance of various open source GBM implementations
User: szilard
machine-learning gradient-boosting-machine gbm h2oai xgboost lightgbm benchmark

teamhg-memex / eli5
lightgbm,A library for debugging/inspecting machine learning classifiers and explaining their predictions
Organization: teamhg-memex
Home Page: http://eli5.readthedocs.io
scikit-learn machine-learning xgboost lightgbm crfsuite inspection explanation nlp data-science python

thomasbury / arfs
lightgbm,All Relevant Feature Selection
User: thomasbury
shadow-features boruta feature-selection allrelevant lightgbm discretization-algorithm feature-engineering machine-learning mrmr python

western-oc2-lab / intrusion-detection-system-using-machine-learning
lightgbm,Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)
Organization: western-oc2-lab
machine-learning random-forest decision-tree xgboost bayesian-optimization hyperparameter-optimization hpo kmeans python-examples intrusion-detection

western-oc2-lab / pwpae-concept-drift-detection-and-adaptation
lightgbm,Data stream analytics: Implement online learning methods to address concept drift and model 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" published in IEEE GlobeCom 2021.
Organization: western-oc2-lab
machine-learning anomaly-detection iot data-stream drift online-learning real-time-analytics concept-drift change-detector intrusion-detection-system

xorbitsai / xorbits
lightgbm,Scalable Python DS & ML, in an API compatible & lightning fast way.
Organization: xorbitsai
Home Page: https://xorbits.readthedocs.io
data-science distributed-systems numpy pandas python scalable lightgbm machine-learning ml xgboost

yzkang / my-data-competition-experience
lightgbm,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
User: yzkang
machine-learning kaggle-competition data-science tianchi-competition xgboost lightgbm catboost feature-engineering hyperparameter-optimization model-selection feature-selection model-fusion automl sql python deep-learning gan