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catboost

Here are 646 public repositories matching this topic...

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 May 20, 2025
C++

mljar-supervised

mljar / mljar-supervised

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

data-science machine-learning neural-network random-forest scikit-learn xgboost hyperparameter-optimization lightgbm ensemble feature-engineering decision-tree hyper-parameters automl automated-machine-learning catboost mljar automl-api automl-python

Updated Apr 14, 2025
Python

awesome-decision-tree-papers

benedekrozemberczki / awesome-decision-tree-papers

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

Updated Mar 16, 2024
Python

catboost / tutorials

CatBoost tutorials repository

ipython ipython-notebook tutorials kaggle catboost titanic-dataset

Updated Mar 30, 2025
Jupyter Notebook

awesome-gradient-boosting-papers

benedekrozemberczki / awesome-gradient-boosting-papers

A curated list of gradient boosting research papers with implementations.

Updated Mar 16, 2024
Python

hyperparameter_hunter

HunterMcGushion / hyperparameter_hunter

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

Updated Jan 20, 2021
Python

HuangCongQing / AI_competitions

AI比赛相关信息汇总

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

Updated Jan 26, 2023

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

Updated Oct 13, 2023
Jupyter Notebook

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

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

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 Apr 16, 2025
Python

aws-samples / amazon-sagemaker-local-mode

Amazon SageMaker Local Mode Examples

Updated Apr 29, 2025
Python

aws-samples / aws-machine-learning-university-dte

Machine Learning University: Decision Trees and Ensemble Methods

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

Updated Sep 17, 2024
Jupyter Notebook

AdrianAntico / AutoQuant

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 Apr 29, 2025
R

catboost / benchmarks

Comparison tools

quality benchmark gpu h2o regression kaggle speed comparison ranking xgboost classification lightgbm catboost

Updated Mar 19, 2025
Jupyter Notebook

sharmapratik88 / AIML-Projects

Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning

Updated Aug 23, 2021
Jupyter Notebook

StatMixedML / CatBoostLSS

An extension of CatBoost to probabilistic modelling

machine-learning gamlss uncertainty-estimation catboost prediction-intervals distributional-regression probabilistic-forecasts

Updated Oct 27, 2023

duoan / ijcai18-mama-ads-competition

IJCAI-18 阿里妈妈搜索广告转化预测初赛方案

admin lightgbm data-processing ctr tianchi catboost ijcai-18

Updated Apr 22, 2018
Jupyter Notebook

xiaodaigh / JLBoost.jl

A 100%-Julia implementation of Gradient-Boosting Regression Tree algorithms

data-science machine-learning tree xgboost gbdt lightgbm gbrt catboost tree-boosting-algorithms

Updated Nov 28, 2024
Julia

jianzhnie / AutoTabular

Automatic machine learning for tabular data. ⚡🔥⚡

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

Updated Dec 11, 2021
Python

auto-flow / auto-flow

AutoFlow : Automatic machine learning workflow modeling platform

workflow machine-learning lightgbm automl data-minig catboost data-sicence

Updated Jan 22, 2022
Python

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