catboost

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catboost / catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

python data-science machine-learning data-mining tutorial r big-data gpu cuda kaggle gbdt gbm gpu-computing decision-trees gradient-boosting coreml catboost categorical-features

Updated Aug 5, 2023
Python

mljar / mljar-supervised

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

Updated Aug 5, 2023
Python

benedekrozemberczki / awesome-decision-tree-papers

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A collection of research papers on decision, classification and regression trees with implementations.

classifier machine-learning random-forest statistical-learning xgboost lightgbm gradient-boosting-machine ensemble-learning cart decision-tree tree-ensemble decision-tree-classifier gradient-boosting classification-trees decision-tree-learning decision-tree-model classification-model catboost regression-tree machine-learning-research

Updated Apr 12, 2023
Python

benedekrozemberczki / awesome-gradient-boosting-papers

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A curated list of gradient boosting research papers with implementations.

Updated Jul 3, 2023
Python

catboost / tutorials

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CatBoost tutorials repository

ipython ipython-notebook tutorials kaggle catboost titanic-dataset

Updated Jul 30, 2023
Jupyter Notebook

HunterMcGushion / hyperparameter_hunter

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

Updated Jan 20, 2021
Python

HuangCongQing / AI_competitions

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AI比赛相关信息汇总

ai sklearn logistic xgboost lightgbm matplotlib competitions agg sklearn-classify catboost

Updated Jan 26, 2023

yzkang / My-Data-Competition-Experience

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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

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

Updated Mar 16, 2021
Python

DataCanvasIO / HyperGBM

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A full pipeline AutoML tool for tabular data

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

Updated Aug 1, 2023
Python

AdrianAntico / AutoQuant

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

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

Updated Jul 28, 2023
R

Western-OC2-Lab / Intrusion-Detection-System-Using-Machine-Learning

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Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)