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awesome-decision-tree-papers
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awesome-decision-tree-papers

A collection of research papers on decision, classification and regression trees with implementations.

by benedekrozemberczki · GitHub
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cartcatboostclassification-modelCC0-1.0Python
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Explore a collection of research papers about decision trees and their implementations.

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2026-07-072026-08-31
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📄 About

A collection of research papers on decision, classification and regression trees with implementations.

awesome-decision-tree-papers has 2.5k stars on GitHub. It has been forked 344 times. awesome-decision-tree-papers is written mainly in Python. It has been in active development since 2019. awesome-decision-tree-papers is available under the CC0-1.0 license. Its main topics are cart, catboost, classification-model, classification-trees.

Frequently asked questions

What is awesome-decision-tree-papers?

A collection of research papers on decision, classification and regression trees with implementations.

Is awesome-decision-tree-papers open source?

awesome-decision-tree-papers is an open-source project. It is released under the CC0-1.0 license.

Is awesome-decision-tree-papers free?

Yes. awesome-decision-tree-papers is free and open source — you can use, modify and self-host it.

What license does awesome-decision-tree-papers use?

awesome-decision-tree-papers is available under the CC0-1.0 license.

What language is awesome-decision-tree-papers written in?

awesome-decision-tree-papers is written mainly in Python.

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