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 Nov 12, 2026
• C++

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 Nov 5, 2026
• Python

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 Dec 28, 2025
• Python

Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models

python data-science machine-learning deep-learning time-series scikit-learn xgboost forecasting lightgbm arima sarimax catboost time-series-forecasting prediction-intervals probabilistic-forecasting exogenous-predictors foundation-models multi-series-forecasting multi-step-forecasting backtesting-forecasters

• Updated Nov 12, 2026
• Python

CatBoost tutorials repository

ipython ipython-notebook tutorials kaggle catboost titanic-dataset

• Updated Oct 23, 2026
• Jupyter Notebook

A curated list of gradient boosting research papers with implementations.

classifier machine-learning deep-learning random-forest h2o xgboost lightgbm gradient-boosting-machine adaboost decision-tree gradient-boosting-classifier classification-algorithm gradient-boosting boosting classification-trees xgboost-algorithm catboost gradient-boosted-trees classification-tree gradient-boosting-decision-trees

• Updated Jan 5, 2026
• Python

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

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

• Updated Jan 20, 2021
• Python

Ollama for classical ML models. AOT compiler that turns XGBoost, LightGBM, scikit-learn, CatBoost & ONNX models into native C99 inference code. One command to load, one command to serve. 336x faster than Python inference.

machine-learning compiler sklearn c99 inference xgboost lightgbm decision-trees gradient-boosting model-serving catboost onnx mlops ollama

• Updated Apr 16, 2026
• Python

AI比赛相关信息汇总

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

• Updated Jan 26, 2023

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 Apr 1, 2026
• Jupyter Notebook

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

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 20, 2026
• Python

Amazon SageMaker Local Mode Examples

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

• Updated Apr 29, 2025
• Python

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

Automation framework for machine learning, forecasting, model evaluation, and interpretation.

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

• Updated Nov 10, 2026
• R

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

nlp data-science machine-learning statistics computer-vision random-forest data-visualization recommendation-system logistic-regression support-vector-machines decision-tree-classifier gradient-boosting-classifier knearest-neighbor-algorithm oversampling supervised-machine-learning unsupervised-machine-learning catboost ensemble-machine-learning machinelearningprojects datascienceproject

• Updated Aug 23, 2021
• Jupyter Notebook

Comparison tools

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

• Updated Oct 30, 2026
• Jupyter Notebook

An extension of CatBoost to probabilistic modelling

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

• Updated Oct 27, 2023

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

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