lightgbm

There are 19 repositories under lightgbm topic.

LightGBM
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.
data-mining decision-trees distributed gbdt gbm gbrt gradient-boosting kaggle lightgbm machine-learning microsoft parallel python r
Language:C++ 16046
SynapseML
microsoft / SynapseML
Simple and Distributed Machine Learning
spark pyspark azure scala microsoft ml machine-learning databricks cognitive-services lightgbm http model-deployment deep-learning ai apache-spark data-science synapse big-data onnx opencv
Language:Scala 4967
mljar-supervised
mljar / mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
automl machine-learning automatic-machine-learning mljar data-science scikit-learn hyperparameter-optimization feature-engineering xgboost random-forest neural-network lightgbm catboost ensemble tuning-algorithm models-tuning hyper-parameters decision-tree shap automated-machine-learning
Language:Python 2929
microsoft / DMTK
Microsoft Distributed Machine Learning Toolkit
dmtk lightgbm machine-learning microsoft multiverso
2745
TeamHG-Memex / eli5
A library for debugging/inspecting machine learning classifiers and explaining their predictions
crfsuite data-science explanation inspection lightgbm machine-learning nlp python scikit-learn xgboost
Language:Jupyter Notebook 2726
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
c csharp dartlang go haskell java javascript lightgbm lightning machine-learning php python r ruby rust scikit-learn statistical-learning statsmodels xgboost
Language:Python 2707
mars-project / mars
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
python numpy tensor pandas machine-learning scikit-learn tensorflow pytorch xgboost lightgbm ray statsmodels joblib dataframe dask
Language:Python 2677
awesome-decision-tree-papers
benedekrozemberczki / awesome-decision-tree-papers
A collection of research papers on decision, classification and regression trees with implementations.
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
Language:Python 2333
ClimbsRocks / auto_ml
[UNMAINTAINED] Automated machine learning for analytics & production
machine-learning data-science automated-machine-learning gradient-boosting scikit-learn python machine-learning-pipelines machine-learning-library production-ready automl lightgbm analytics feature-engineering hyperparameter-optimization deep-learning xgboost keras deeplearning tensorflow artificial-intelligence
Language:Python 1637
MLBox
AxeldeRomblay / MLBox
MLBox is a powerful Automated Machine Learning python library.
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
Language:Python 1475
DeepWisdom / AutoDL
Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.
autodl automl nas feature-engineering model-selection full-automl artificial-intelligence lightgbm resnet pytorch tensorflow python autodl-challenge ai deeplearning data-science machine-learning big-data multi-label automated-machine-learning
Language:Python 1109
ryfeus / lambda-packs
Precompiled packages for AWS Lambda
aws-lambda phantomjs serverless aws tensorflow keras numpy pandas tesseract sklearn skimage wrk opencv pillow selenium python lightgbm spacy hdf pytorch
Language:Python 1105
xorbitsai / xorbits
Scalable Python DS & ML, in an API compatible & lightning fast way.
data-science distributed-systems numpy pandas python scalable lightgbm machine-learning ml xgboost
Language:Python 1006
awesome-gradient-boosting-papers
benedekrozemberczki / awesome-gradient-boosting-papers
A curated list of gradient boosting research papers with implementations.
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
Language:Python 980
skforecast
JoaquinAmatRodrigo / skforecast
Time series forecasting with scikit-learn models
arima autoregressive-forecasting backtesting-forecasters data-science direct-forecasting exogenous-predictors forecasting lightgbm machine-learning multi-series-forecasting multi-step-forecasting multiple-time-series-forecasting probabilistic-forecasting python quantile-forecasting sarimax scikit-learn time-series weighted-time-series-forecasting xgboost
Language:Python 889
Nixtla / mlforecast
Scalable machine 🤖 learning for time series forecasting.
dask forecast forecasting lightgbm machine-learning python time-series xgboost
Language:Python 715
hyperparameter_hunter
HunterMcGushion / hyperparameter_hunter
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
artificial-intelligence machine-learning hyperparameter-optimization hyperparameter-tuning neural-network keras scikit-learn xgboost lightgbm catboost deep-learning data-science python rgf sklearn optimization experimentation feature-engineering ai ml
Language:Python 701
eland
elastic / eland
Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch
python elasticsearch pandas data-analysis machine-learning time-series-forecasting etl big-data dataframe eland scikit-learn lightgbm dataframes
Language:Python 609
HuangCongQing / AI_competitions
AI比赛相关信息汇总
ai competitions xgboost lightgbm logistic sklearn sklearn-classify catboost matplotlib agg
589
openscoring / openscoring
REST web service for the true real-time scoring (<1 ms) of Scikit-Learn, R and Apache Spark models
apache-spark api lightgbm pmml r real-time scikit-learn xgboost
Language:Java 575
SeldonIO / MLServer
An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more
kfserving lightgbm machine-learning mlflow scikit-learn seldon-core xgboost
Language:Python 573
neptune-ai / neptune-client
📘 The MLOps stack component for experiment tracking
pytorch keras lightgbm xgboost optuna tensorflow mlops ml dl rl monitoring versioning repository visualization comparison optimization logging logger learning machine
Language:Python 535
cerlymarco / shap-hypetune
A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
parameter-tuning hyperparameter-optimization feature-selection model-selection xgboost lightgbm shap
Language:Jupyter Notebook 530
linkedin / FastTreeSHAP
Fast SHAP value computation for interpreting tree-based models
explainable-ai interpretability lightgbm machine-learning random-forest shap xgboost
Language:Python 492
minerva-ml / open-solution-home-credit
Open solution to the Home Credit Default Risk challenge :house_with_garden:
competition credit-risk credit-scoring deep-learning feature-engineering kaggle lightgbm machine-learning neptune open-source pipeline pipeline-framework python python3 python35 reproducibility reproducible-experiments xgboost
Language:Python 445
dmitryikh / leaves
pure Go implementation of prediction part for GBRT (Gradient Boosting Regression Trees) models from popular frameworks
boosting decision-trees go golang lightgbm machine-learning xgboost
Language:Go 413
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
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
Language:Python 380
neptune-ai / open-solution-mapping-challenge
Open solution to the Mapping Challenge :earth_americas:
data-science machine-learning deep-learning kaggle python satellite-imagery data-science-learning lightgbm unet unet-image-segmentation unet-pytorch neptune machine-learning-lab mapping-challenge crowdai competition pipeline pipeline-framework
Language:Python 374
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..)
machine-learning random-forest decision-tree xgboost bayesian-optimization hyperparameter-optimization hpo kmeans python-examples intrusion-detection intrusion-detection-system autonomous-vehicles cyber-security network-security stacking cicids2017 catboost ensemble-learning lightgbm
Language:Jupyter Notebook 325
DataCanvasIO / HyperGBM
A full pipeline AutoML tool for tabular data
automl gbm fullpipeline xgboost lightgbm catboost pseudo-labeling adversarial-validation semi-supervised-learning datacleaning preprocessing ensemble-learning tabular-data distributed-training dask gpu-acceleration dask-distributed rapidsai sklearn
Language:Python 322
siboehm / lleaves
Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.
python lightgbm llvm decision-trees gradient-boosting machine-learning
Language:Python 294
aipredict / ai-deployment
关注AI模型上线、模型部署
pmml onnx scikit-learn xgboost lightgbm pyspark spark-ml keras tensorflow pytorch mxnet deploy
Language:Jupyter Notebook 259
LenzDu / Kaggle-Competition-Favorita
5th place solution for Kaggle competition Favorita Grocery Sales Forecasting
deep-learning machine-learning kaggle keras cnn lstm lightgbm python time-series
Language:Python 247
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.
lightgbm learning-to-rank python shap
Language:Python 245
jrzaurin / LightGBM-with-Focal-Loss
An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems
lightgbm imbalanced-data focal-loss python3
Language:Python 233
AdrianAntico / AutoQuant
R package for automation of machine learning, forecasting, model evaluation, and model interpretation
r timeseries supervised-learning automated-machine-learning unsupervised-learning regression classification multiclass-classification catboost xgboost h2o gpu-acceleration lightgbm panel-data automl
Language:R 230