benedekrozemberczki/awesome-decision-tree-papers

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

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Established

This is a curated collection of research papers and their implementations focused on decision, classification, and regression trees. It provides a comprehensive resource for academics and practitioners interested in the latest advancements and practical applications of tree-based models for various predictive tasks. The collection covers papers from top conferences in machine learning, computer vision, natural language processing, and data mining, making it valuable for researchers, data scientists, and machine learning engineers.

2,460 stars.

Use this if you are a researcher or practitioner looking for cutting-edge academic papers and code implementations on decision, classification, or regression tree algorithms.

Not ideal if you are looking for a tutorial or an introductory guide on how to build or use decision trees for a specific business problem.

Machine Learning Research Predictive Modeling Data Science Algorithm Development Academic Research
No Package No Dependents
Maintenance 6 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 22 / 25

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Stars

2,460

Forks

342

Language

Python

License

CC0-1.0

Last pushed

Dec 28, 2025

Commits (30d)

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