This repository collects decision tree research papers with implementations.
Open source
24 alternativesAwesome Gradient Boosting Papers
This repository collects gradient boosting research papers with implementations.
About Awesome Gradient Boosting Papers
This repository lists gradient and adaptive boosting research papers with links to the papers and, for many entries, to code implementations. Entries are organized by publication year and show the title, authors, and conference venue, with coverage from venues including NeurIPS, ICML, ICLR, AAAI, KDD, CVPR, and ACL.
Some entries provide only a paper link without a code link. The repository also points to related collections on other topics such as graph classification and fraud detection.
Key features
- Lists gradient and adaptive boosting papers with paper links
- Provides code implementation links for many entries
- Organizes entries by publication year
- Shows title, authors, and conference venue per entry
- Covers conferences including NeurIPS, ICML, ICLR, KDD, and AAAI
- Links to related paper collections on other topics
Best for: Researchers and developers seeking gradient boosting papers with linked implementations.
Good for
- Open source repository with paper and code links
- Covers papers from many conferences across machine learning and related fields
- Entries include titles, authors, and venues organized by year
Watch out for
- Some listed papers do not include a code implementation link
Awesome Gradient Boosting Papers at a glance
- Category
- AI & Machine Learning › AI Search & Research
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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