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.

r tutorial distributed python machine-learning

View on GitHub Website

8.6k Stars

1.2k Forks

8.6k Watchers

C++ Language

apache-2.0 License

Cost to Build

$81.85M

Market Value

$414.13M

How is this calculated?

Growth over time

34 data points · 2018-09-01 → 2025-09-01

Stars Forks Watchers

💬

How do you feel about this project?

Ask AI about catboost

Question copied to clipboard

What is the catboost/catboost GitHub project? Description: "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.". Written in C++. Explain what it does, its main use cases, key features, and who would benefit from using it.

Question is copied to clipboard — paste it after the AI opens.

How to clone catboost

Clone via HTTPS

git clone https://github.com/catboost/catboost.git

Clone via SSH

[email protected]:catboost/catboost.git

Download ZIP

Download master.zip

Found an issue?

Report bugs or request features on the catboost issue tracker:

Open GitHub Issues

Similar to catboost

free-programming-books-zh_CN js-stack-from-scratch 30-seconds-of-code N-blog tensorflow awesome-python system-design-primer flask thefuck cli django requests keras ansible scikit-learn scrapy TensorFlow-Examples certbot pytorch python-patterns tornado face_recognition core pandas CNTK python-guide reddit wechat_jump_game interactive-coding-challenges compose