https://github.com/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.
https://github.com/catboost/catboost
big-data catboost categorical-features coreml cuda data-mining data-science decision-trees gbdt gbm gpu gpu-computing gradient-boosting kaggle machine-learning python r tutorial
Last synced: about 1 year ago
JSON representation
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.
- Host: GitHub
- URL: https://github.com/catboost/catboost
- Owner: catboost
- License: apache-2.0
- Created: 2017-07-18T05:29:04.000Z (almost 9 years ago)
- Default Branch: master
- Last Pushed: 2025-05-05T08:34:06.000Z (about 1 year ago)
- Last Synced: 2025-05-05T09:46:41.416Z (about 1 year ago)
- Topics: big-data, catboost, categorical-features, coreml, cuda, data-mining, data-science, decision-trees, gbdt, gbm, gpu, gpu-computing, gradient-boosting, kaggle, machine-learning, python, r, tutorial
- Language: C++
- Homepage: https://catboost.ai
- Size: 1.66 GB
- Stars: 8,377
- Watchers: 190
- Forks: 1,217
- Open Issues: 610
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Security: SECURITY.md
- Authors: AUTHORS
Awesome Lists containing this project
- fucking-awesome-cpp - catboost - A fast, scalable, high performance Gradient Boosting on Decision Trees library. [Apache2] (Machine Learning)
- awesome-python - catboost - A fast, scalable, high performance gradient boosting on decision trees library. (Machine Learning)
- awesome-python-machine-learning-resources - GitHub - 21% open · ⏱️ 21.08.2022): (机器学习框架)
- StarryDivineSky - catboost/catboost
- awesome-machine-learning - CatBoost - General purpose gradient boosting on decision trees library with categorical features support out of the box. It is easy to install, contains fast inference implementation and supports CPU and GPU (even multi-GPU) computation. (C++ / [Tools](#tools-1))
- awesome-machine-learning - CatBoost - General purpose gradient boosting on decision trees library with categorical features support out of the box. It is easy to install, contains fast inference implementation and supports CPU and GPU (even multi-GPU) computation. (C++)
- awesome-list - CatBoost - A fast, scalable, high performance Gradient Boosting on Decision Trees library. (Machine Learning Framework / General Purpose Framework)
- awesome-machine-learning-resources - **[Library
- awesome-gradient-boosting-papers - [Code
- awesome-machine-learning - CatBoost - General purpose gradient boosting on decision trees library with categorical features support out of the box. It is easy to install, contains fast inference implementation and supports CPU and GPU (even multi-GPU) computation. (C++ / [Tools](#tools-1))
- trackawesomelist - CatBoost (⭐8k)
- awesome-datascience - CatBoost
- awesome-machine-learning - CatBoost - General purpose gradient boosting on decision trees library with categorical features support out of the box. It is easy to install, contains fast inference implementation and supports CPU and GPU (even multi-GPU) computation. (C++ / Speech Recognition)
- fucking-awesome-datascience - CatBoost
- awesome-atmos - CatBoost - General purpose gradient boosting on decision trees library with categorical features support out of the box for R. (Machine Learning)
- awesome-python-data-science - CatBoost - An open-source gradient boosting on decision trees library. <img height="20" src="img/sklearn_big.png" alt="sklearn"> <img height="20" src="img/gpu_big.png" alt="GPU accelerated"> (Machine Learning / Gradient Boosting)
- awesome-ru - CatBoost - Библиотека градиентного бустинга с встроенной поддержкой категориальных признаков. Автор: Яндекс. (Искусственный интеллект и машинное обучение)
- awesome-gradient-boosting-machines - CatBoost - A fast, scalable, high-performance gradient boosting on decision trees library by Yandex. ⭐ 8k+ (Implementations / CatBoost)
- fucking-awesome-machine-learning - CatBoost - General purpose gradient boosting on decision trees library with categorical features support out of the box. It is easy to install, contains fast inference implementation and supports CPU and GPU (even multi-GPU) computation. (C++ / [Tools](#tools-1))
- awesome-gradient-boosting-papers - [Code
- awesome-machine-learning - CatBoost - General purpose gradient boosting on decision trees library with categorical features support out of the box. It is easy to install, contains fast inference implementation and supports CPU and GPU (even multi-GPU) computation. (C++ / [Tools](#tools-1))
- awesome-machine-learning - CatBoost - General purpose gradient boosting on decision trees library with categorical features support out of the box. It is easy to install, contains fast inference implementation and supports CPU and GPU (even multi-GPU) computation. (C++ / Speech Recognition)
- awesome-python-fa - **CatBoost** - کتابخانهای برای یادگیری ماشین که بر روی دادههای طبقهبندیشده بهینه شده و قادر به پردازش دادههای دستهای است. (📚 فهرست / یادگیری ماشین)
- awesome-data-analysis - CatBoost - High-performance gradient boosting on decision trees with categorical features support. (🤖 Machine Learning & AI / Tools)
- awesome-python-data-science - CatBoost - An open-source gradient boosting on decision trees library. <img height="20" src="img/sklearn_big.png" alt="sklearn"> <img height="20" src="img/gpu_big.png" alt="GPU accelerated"> (Machine Learning / Gradient Boosting)
- awesome-cpp - catboost - A fast, scalable, high performance Gradient Boosting on Decision Trees library. [Apache2] (Machine Learning)
- awesome-advanced-metering-infrastructure - CatBoost - General purpose gradient boosting on decision trees library with categorical features support out of the box. It is easy to install, contains fast inference implementation and supports CPU and GPU (even multi-GPU) computation. (C++ / Speech Recognition)
- awesome-opensource-ai - CatBoost - Gradient boosting that handles categorical features natively with great out-of-the-box performance. (📋 Contents / 🧬 1. Core Frameworks & Libraries)
- awesome-python-machine-learning - CatBoost - CatBoost is a machine learning method based on gradient boosting over decision trees. (Uncategorized / Uncategorized)
- awesome-energy-models - [code
- fucking-awesome-python - catboost - A fast, scalable, high performance gradient boosting on decision trees library. (Machine Learning)
- awesome-cpp-with-stars - catboost - 03-03 | (Machine Learning)