benedekrozemberczki / awesome-decision-tree-papers
A collection of research papers on decision, classification and regression trees with implementations.
Why this job: name: awesome
What it does
A curated list of classification and regression tree research papers with implementations from the following conferences:
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Inactive
- Last commit 10 months ago
- Stars
- 2,481
- +2 this week
- Licence
- CC0-1.0
- Read the terms
- Downloads for
- None listed
- No release files
- Latest tag
- v_0004
- Released 4 years ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 0% closed
- 2 still open
- Pull requests
- 4 merged
- 1 waiting
- Releases
- 4
- 0 in the last year
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics, project record and preview image
Languages
- Python 100%
Topics
- decision-tree
- decision-tree-classifier
- gradient-boosting
- gradient-boosting-machine
- regression-tree
- cart
- machine-learning
- machine-learning-research
- random-forest
- xgboost
- lightgbm
- catboost
Project record
- JobLists and guides
- StatusListed
- Commits282
- Forks341
- Watching126
- Stars in 28 days+5
- CreatedMay 11, 2019
- First seen by usNov 7, 2026
- CheckedNov 8, 2026