Projects in Awesome Lists tagged with lightgbm

https://github.com/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

Last synced: 02 Aug 2024

https://github.com/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

Last synced: 29 Jul 2024

https://github.com/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

Last synced: 29 Sep 2024

https://github.com/microsoft/SynapseML

Simple and Distributed Machine Learning

ai apache-spark azure big-data cognitive-services data-science databricks deep-learning http lightgbm machine-learning microsoft ml model-deployment onnx opencv pyspark scala spark synapse

Last synced: 30 Jul 2024

https://github.com/microsoft/synapseml

Simple and Distributed Machine Learning

ai apache-spark azure big-data cognitive-services data-science databricks deep-learning http lightgbm machine-learning microsoft ml model-deployment onnx opencv pyspark scala spark synapse

Last synced: 29 Sep 2024

https://microsoft.github.io/SynapseML/

Simple and Distributed Machine Learning

ai apache-spark azure big-data cognitive-services data-science databricks deep-learning http lightgbm machine-learning microsoft ml model-deployment onnx opencv pyspark scala spark synapse

Last synced: 02 Aug 2024

https://github.com/mljar/mljar-supervised

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

automated-machine-learning automatic-machine-learning automl catboost data-science decision-tree ensemble feature-engineering hyper-parameters hyperparameter-optimization lightgbm machine-learning mljar models-tuning neural-network random-forest scikit-learn shap tuning-algorithm xgboost

Last synced: 29 Sep 2024

https://github.com/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

Last synced: 26 Sep 2024

https://github.com/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

Last synced: 26 Sep 2024

https://github.com/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

Last synced: 30 Jul 2024

https://github.com/Microsoft/DMTK

Microsoft Distributed Machine Learning Toolkit

dmtk lightgbm machine-learning microsoft multiverso

Last synced: 03 Aug 2024

https://github.com/microsoft/DMTK

Microsoft Distributed Machine Learning Toolkit

dmtk lightgbm machine-learning microsoft multiverso

Last synced: 30 Jul 2024

https://github.com/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

Last synced: 02 Aug 2024

https://github.com/mars-project/mars

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

dask dataframe joblib lightgbm machine-learning numpy pandas python pytorch ray scikit-learn statsmodels tensor tensorflow xgboost

Last synced: 29 Sep 2024

https://github.com/climbsrocks/auto_ml

[UNMAINTAINED] Automated machine learning for analytics & production

analytics artificial-intelligence automated-machine-learning automl data-science deep-learning deeplearning feature-engineering gradient-boosting hyperparameter-optimization keras lightgbm machine-learning machine-learning-library machine-learning-pipelines production-ready python scikit-learn tensorflow xgboost

Last synced: 26 Sep 2024

https://github.com/ClimbsRocks/auto_ml

[UNMAINTAINED] Automated machine learning for analytics & production

analytics artificial-intelligence automated-machine-learning automl data-science deep-learning deeplearning feature-engineering gradient-boosting hyperparameter-optimization keras lightgbm machine-learning machine-learning-library machine-learning-pipelines production-ready python scikit-learn tensorflow xgboost

Last synced: 01 Aug 2024

https://github.com/axelderomblay/mlbox

MLBox is a powerful Automated Machine Learning python library.

auto-ml automated-machine-learning automl classification data-science deep-learning distributed drift encoding kaggle keras lightgbm machine-learning optimization pipeline prediction preprocessing regression stacking xgboost

Last synced: 26 Sep 2024

https://github.com/AxeldeRomblay/MLBox

MLBox is a powerful Automated Machine Learning python library.

auto-ml automated-machine-learning automl classification data-science deep-learning distributed drift encoding kaggle keras lightgbm machine-learning optimization pipeline prediction preprocessing regression stacking xgboost

Last synced: 02 Aug 2024

https://github.com/deepwisdom/autodl

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.

ai artificial-intelligence autodl autodl-challenge automated-machine-learning automl big-data data-science deeplearning feature-engineering full-automl lightgbm machine-learning model-selection multi-label nas python pytorch resnet tensorflow

Last synced: 30 Sep 2024

https://github.com/DeepWisdom/AutoDL

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.

ai artificial-intelligence autodl autodl-challenge automated-machine-learning automl big-data data-science deeplearning feature-engineering full-automl lightgbm machine-learning model-selection multi-label nas python pytorch resnet tensorflow

Last synced: 03 Aug 2024

https://github.com/ryfeus/lambda-packs

Precompiled packages for AWS Lambda

aws aws-lambda hdf keras lightgbm numpy opencv pandas phantomjs pillow python pytorch selenium serverless skimage sklearn spacy tensorflow tesseract wrk

Last synced: 29 Sep 2024

https://github.com/xorbitsai/xorbits

Scalable Python DS & ML, in an API compatible & lightning fast way.

data-science distributed-systems lightgbm machine-learning ml numpy pandas python scalable xgboost

Last synced: 28 Sep 2024

https://github.com/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

Last synced: 26 Sep 2024

https://github.com/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

Last synced: 01 Aug 2024

https://github.com/Nixtla/mlforecast

Scalable machine 🤖 learning for time series forecasting.

dask forecast forecasting lightgbm machine-learning python time-series xgboost

Last synced: 01 Aug 2024

https://github.com/huntermcgushion/hyperparameter_hunter

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

ai artificial-intelligence catboost data-science deep-learning experimentation feature-engineering hyperparameter-optimization hyperparameter-tuning keras lightgbm machine-learning ml neural-network optimization python rgf scikit-learn sklearn xgboost

Last synced: 26 Sep 2024

https://github.com/HunterMcGushion/hyperparameter_hunter

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

ai artificial-intelligence catboost data-science deep-learning experimentation feature-engineering hyperparameter-optimization hyperparameter-tuning keras lightgbm machine-learning ml neural-network optimization python rgf scikit-learn sklearn xgboost

Last synced: 02 Aug 2024

https://github.com/elastic/eland

Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch

big-data data-analysis dataframe dataframes eland elasticsearch etl lightgbm machine-learning pandas python scikit-learn time-series-forecasting

Last synced: 27 Sep 2024

https://github.com/huangcongqing/ai_competitions

Last synced: 26 Sep 2024

https://github.com/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

Last synced: 29 Sep 2024

https://github.com/neptune-ai/neptune-client

📘 The MLOps stack component for experiment tracking

comparison dl keras learning lightgbm logger logging machine ml mlops monitoring optimization optuna pytorch repository rl tensorflow versioning visualization xgboost

Last synced: 02 Oct 2024

https://github.com/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

Last synced: 03 Aug 2024

https://github.com/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

Last synced: 31 Jul 2024

https://github.com/linkedin/FastTreeSHAP

Fast SHAP value computation for interpreting tree-based models

explainable-ai interpretability lightgbm machine-learning random-forest shap xgboost

Last synced: 07 Aug 2024

https://github.com/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

Last synced: 30 Sep 2024

https://github.com/linkedin/fasttreeshap

Fast SHAP value computation for interpreting tree-based models

explainable-ai interpretability lightgbm machine-learning random-forest shap xgboost

Last synced: 02 Aug 2024

https://github.com/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

Last synced: 02 Aug 2024

https://github.com/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

automl catboost data-science deep-learning feature-engineering feature-selection gan hyperparameter-optimization kaggle-competition lightgbm machine-learning model-fusion model-selection python sql tianchi-competition xgboost

Last synced: 02 Aug 2024

https://github.com/neptune-ai/open-solution-mapping-challenge

Open solution to the Mapping Challenge :earth_americas:

competition crowdai data-science data-science-learning deep-learning kaggle lightgbm machine-learning machine-learning-lab mapping-challenge neptune pipeline pipeline-framework python satellite-imagery unet unet-image-segmentation unet-pytorch

Last synced: 05 Aug 2024

https://github.com/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..)

autonomous-vehicles bayesian-optimization catboost cicids2017 cyber-security decision-tree ensemble-learning hpo hyperparameter-optimization intrusion-detection intrusion-detection-system kmeans lightgbm machine-learning network-security python-examples random-forest stacking xgboost

Last synced: 08 Aug 2024

https://github.com/siboehm/lleaves

Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.

decision-trees gradient-boosting lightgbm llvm machine-learning python

Last synced: 31 Jul 2024

https://github.com/datacanvasio/hypergbm

A full pipeline AutoML tool for tabular data

adversarial-validation automl catboost dask dask-distributed datacleaning distributed-training ensemble-learning fullpipeline gbm gpu-acceleration lightgbm preprocessing pseudo-labeling rapidsai semi-supervised-learning sklearn tabular-data xgboost

Last synced: 26 Sep 2024

https://github.com/DataCanvasIO/HyperGBM

A full pipeline AutoML tool for tabular data

adversarial-validation automl catboost dask dask-distributed datacleaning distributed-training ensemble-learning fullpipeline gbm gpu-acceleration lightgbm preprocessing pseudo-labeling rapidsai semi-supervised-learning sklearn tabular-data xgboost

Last synced: 03 Aug 2024

https://github.com/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

Last synced: 31 Jul 2024

https://github.com/aws-samples/amazon-sagemaker-local-mode

Amazon SageMaker Local Mode Examples

amazon-sagemaker catboost dask delta-lake gensim-word2vec hdbscan-clustering-algorithm huggingface huggingface-transformers lightgbm machine-learning prophet prophet-model pycharm pytorch pytorch-training sagemaker sagemaker-processing scikit-learn tensorflow tensorflow-training

Last synced: 26 Sep 2024

https://github.com/AdrianAntico/AutoQuant

R package for automation of machine learning, forecasting, model evaluation, and model interpretation

automated-machine-learning automl catboost classification gpu-acceleration h2o lightgbm multiclass-classification panel-data r regression supervised-learning timeseries unsupervised-learning xgboost

Last synced: 02 Aug 2024

https://github.com/aws-samples/aws-machine-learning-university-dte

Machine Learning University: Decision Trees and Ensemble Methods

boosting catboost decision-trees lightgbm machine-learning random-forest tabular-data xgboost

Last synced: 03 Aug 2024

https://github.com/szilard/GBM-perf

Performance of various open source GBM implementations

benchmark gbm gradient-boosting-machine h2oai lightgbm machine-learning xgboost

Last synced: 30 Jul 2024

https://github.com/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

Last synced: 29 Sep 2024

https://github.com/maxhalford/kaggle-recruit-restaurant

:trophy: Kaggle 8th place solution

kaggle kaggle-recruit-restaurant lightgbm timeseries

Last synced: 02 Oct 2024

https://github.com/mratsim/Arch-Data-Science

Archlinux PKGBUILDs for Data Science, Machine Learning, Deep Learning, NLP and Computer Vision

archlinux cuda cudnn data-science deep-learning lightgbm machine-learning mkl mxnet natural-language-processing natural-language-understanding nervana opencv package pandas pytorch scikit-learn spacy tensorflow xgboost

Last synced: 07 Aug 2024

https://github.com/pfnet-research/autogbt-alt

An experimental Python package that reimplements AutoGBT using LightGBM and Optuna.

automl gradient-boosting kaggle lightgbm machine-learning python

Last synced: 01 Aug 2024

https://github.com/ankane/lightgbm-ruby

High performance gradient boosting for Ruby

lightgbm machine-learning rubyml

Last synced: 06 Aug 2024

https://github.com/jianzhnie/AutoTabular

Automatic machine learning for tabular data. ⚡🔥⚡

automl catboost data-science deep-learning feature-engineering hpo lightgbm machine-learning pytorch-lightning scikit-learn structured-data tabular-data xgboost

Last synced: 05 Aug 2024

https://github.com/ashishpatel26/datascienv

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

catboost data-science data-science-env datascienv imbalanced-data lightgbm matplotlib numpy pandas pycaret scikit-learn seaborn tensorflow2 xgboost