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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 2 months 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 7 years ago)
- Default Branch: master
- Last Pushed: 2024-04-21T01:14:48.000Z (2 months ago)
- Last Synced: 2024-04-21T19:56:22.386Z (about 2 months 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: Python
- Homepage: https://catboost.ai
- Size: 1.58 GB
- Stars: 7,736
- Watchers: 192
- Forks: 1,145
- Open Issues: 501
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Security: SECURITY.md
- Authors: AUTHORS
Lists
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- fucking-awesome-cpp - catboost - A fast, scalable, high performance Gradient Boosting on Decision Trees library. [Apache2] (Machine Learning)
- awesome-machine-learning-resources - **[Library
- awesome-atmos - CatBoost - General purpose gradient boosting on decision trees library with categorical features support out of the box for R. (Machine Learning)
- awesome-stars - 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. (C)
- awesome-stars - 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 computa (Python)
- awesome-stars - 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 computa (Python)
- awesome-stars - 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 computa (Python)
- awesome-gradient-boosting-papers - [Code
- awesome-stars - 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 computa (Python)
- awesome-stars - 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 computa (Python)
- awesome-stars - 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. (C++)
- awesome-machine-learning - CatBoost - General purpose gradient boosting on decision trees library with categorical features support out of the box for R. (R / General-Purpose 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-android-cpp - catboost/catboost - CatBoost is an open-source gradient boosting on decision trees library with categorical features support out of the box for Python, R (TODO scan for Android support in followings)
- awesome-machine-learning - CatBoost - General purpose gradient boosting on decision trees library with categorical features support out of the box for R. (R / General-Purpose Machine Learning)
- awesome-python-machine-learning - CatBoost - CatBoost is a machine learning method based on gradient boosting over decision trees. (Uncategorized / Uncategorized)
- awesome-machine-learning - CatBoost - General purpose gradient boosting on decision trees library with categorical features support out of the box for R. (R / General-Purpose Machine Learning)
- awesome-machine-learning - CatBoost - Gradient boosting on decision trees library with categorical features support out of the box for Python, R. (R / General-Purpose Machine Learning)
- awesome-machine-learnings - 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))
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- awesome-machine-learning - CatBoost - General purpose gradient boosting on decision trees library with categorical features support out of the box for R. (R / General-Purpose Machine Learning)
- 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)
- my-awesome-stars - 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. (C)
- awesome-machine-learning - CatBoost - General purpose gradient boosting on decision trees library with categorical features support out of the box for R. (R / General-Purpose Machine Learning)
- awesome-list - CatBoost - A fast, scalable, high performance Gradient Boosting on Decision Trees library. (Machine Learning Framework / General Purpose Framework)
- 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-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++ / Tools)
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- awesome-machine-learning - CatBoost - Gradient boosting on decision trees library with categorical features support out of the box for Python, R. (R / General-Purpose Machine Learning)
- awesome-machine-learning - CatBoost - General purpose gradient boosting on decision trees library with categorical features support out of the box for R. (R / General-Purpose Machine Learning)
- awesome-machine-learning - CatBoost - Gradient boosting on decision trees library with categorical features support out of the box for Python, R. (R / General-Purpose Machine Learning)
- AI - CatBoost - General purpose gradient boosting on decision trees library with categorical features support out of the box for R. (R / General-Purpose Machine Learning)
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