lightgbm

There are 16 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.
gbdt gbm machine-learning data-mining distributed lightgbm gbrt microsoft decision-trees gradient-boosting python r parallel kaggle
Language:C++ 13831
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 3301
microsoft / DMTK
Microsoft Distributed Machine Learning Toolkit
dmtk multiverso lightgbm microsoft machine-learning
2762
TeamHG-Memex / eli5
A library for debugging/inspecting machine learning classifiers and explaining their predictions
scikit-learn machine-learning xgboost lightgbm crfsuite inspection explanation nlp data-science python
Language:Jupyter Notebook 2541
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 2420
microsoft / forecasting
Time Series Forecasting Best Practices & Examples
forecasting time-series best-practices machine-learning deep-learning azure-ml automl demand-forecasting retail python jupyter-notebook r lightgbm dilated-cnn prophet tidyverse hyperparameter-tuning model-deployment artificial-intelligence
Language:Python 2274
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
machine-learning scikit-learn statistical-learning xgboost lightgbm java python c javascript go csharp php r dartlang statsmodels lightning haskell ruby rust
Language:Python 2102
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 1979
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 1901
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 1571
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 1320
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 1065
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 963
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 791
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 690
openscoring / openscoring
REST web service for the true real-time scoring (<1 ms) of Scikit-Learn, R and Apache Spark models
api real-time pmml r scikit-learn apache-spark xgboost lightgbm
Language:Java 562
HuangCongQing / AI_competitions
AI比赛相关信息汇总
ai competitions xgboost lightgbm logistic sklearn sklearn-classify catboost matplotlib agg
492
minerva-ml / open-solution-home-credit
Open solution to the Home Credit Default Risk challenge :house_with_garden:
machine-learning deep-learning kaggle pipeline feature-engineering reproducible-experiments reproducibility pipeline-framework lightgbm xgboost neptune competition credit-scoring credit-risk open-source python python3 python35
Language:Python 409
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 375
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 341
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 333
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 331
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 316
neptune-ai / neptune-client
:ledger: Experiment tracking tool and model registry
pytorch keras lightgbm xgboost optuna tensorflow mlops ml dl rl monitoring versioning repository visualization comparison optimization logging logger learning machine
Language:Python 283
SeldonIO / MLServer
An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more
machine-learning scikit-learn xgboost lightgbm mlflow seldon-core kfserving
Language:Python 240
LenzDu / Kaggle-Competition-Favorita
5th place solution for Kaggle competition Favorita Grocery Sales Forecasting
cnn deep-learning kaggle keras lightgbm lstm machine-learning python time-series
Language:Python 212
acbull / Unbiased_LambdaMart
Code for WWW'19 "Unbiased LambdaMART: An Unbiased Pairwise Learning-to-Rank Algorithm", which is based on LightGBM
learning-to-rank lightgbm bias
Language:C++ 208
szilard / GBM-perf
Performance of various open source GBM implementations
machine-learning gradient-boosting-machine gbm h2oai xgboost lightgbm benchmark
Language:HTML 196
RemixAutoML
AdrianAntico / RemixAutoML
R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, recommenders, and EDA.
r timeseries anomaly-detection feature-engineering supervised-learning automated-machine-learning unsupervised-learning recommender-system regression classification multiclass-classification catboost xgboost h2o gpu-acceleration lightgbm panel-data funnel-data intermittent-demand automl
Language:R 194
DataCanvasIO / HyperGBM
A full pipeline AutoML tool for tabular data
automl gbm fullpipeline xgboost lightgbm catboost pseudo-labeling adversarial-validation semi-supervised-learning automl-pipeline-selection datacleaning preprocessing ensemble-learning tabular-data distributed-training dask
Language:Python 194
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.
learning-to-rank lightgbm python shap
Language:Python 169
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 163
jrzaurin / RecoTour
A tour through recommendation algorithms in python [IN PROGRESS]
recommendation-algorithms python3 collaborative-filtering matrix-factorization lightgbm deep-learning
Language:Jupyter Notebook 160
SoftwareAG / nyoka
Nyoka is a Python library that helps to export ML models into PMML (PMML 4.4.1 Standard).
lightgbm machine-learning nyoka pmml pmml-exporter python python-library scikit-learn statsmodels xgboost
Language:Python 160
aipredict / ai-deployment
关注AI模型上线、模型部署
deploy keras lightgbm mxnet onnx pmml pyspark pytorch scikit-learn spark-ml tensorflow xgboost
Language:Jupyter Notebook 156
catboost / benchmarks
Comparison tools
benchmark comparison quality speed gpu ranking classification regression catboost xgboost lightgbm kaggle h2o
Language:Jupyter Notebook 153

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Related Topics

machine-learning time-series classification machine-learning-algorithms clustering