CatBoost
Gradient boosting library by Yandex with native categorical feature handling.
About
CatBoost by Yandex is a gradient boosting library over decision trees that handles categorical features natively without manual encoding and uses ordered boosting to reduce overfitting. It supports GPU training, ranking and regression tasks, and model export to several runtimes, performing competitively with XGBoost and LightGBM. Released under the Apache 2.0 license.
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Details
- Category
- AI Frameworks & Libraries
- Price
- Free
- Platform
- Local/Desktop
- Difficulty
- Easy (2/5)
- License
- Apache-2.0
- Added
- Apr 3, 2026
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