benedekrozemberczki/awesome-decision-tree-papers resource

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2473 stars · 342 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated awesome-list of research papers on decision, classification, and regression trees, including links to implementations. It covers papers from major ML, CV, NLP, data mining, and AI conferences.

Use cases

• find research papers on decision trees
• learn about random forests and tree ensembles
• find gradient boosting paper implementations
• survey classification and regression tree literature
• find CART and XGBoost research with code
• prepare a literature review on tree-based models

When to choose

• you need a curated reading list on tree-based machine learning
• you want papers paired with open-source implementations
• you are researching decision tree learning or ensemble methods

When to avoid

• you need a working decision tree library rather than papers
• you want tutorials or courses instead of academic literature

Facets

learning-resource · maturity active

machine-learning documentation machine-learning tutorials awesome-lists python decision-trees random-forest gradient-boosting research-papers curated-list tree-ensembles

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markdown · JSON · MCP: product_card(name="benedekrozemberczki/awesome-decision-tree-papers")