benedekrozemberczki/awesome-gradient-boosting-papers
A curated list of gradient boosting research papers with implementations.
This list provides a comprehensive collection of research papers and their accompanying code implementations specifically focused on gradient and adaptive boosting techniques. It helps researchers and practitioners in various AI fields stay updated on the latest advancements and reproduce results. You can find papers from top conferences in machine learning, computer vision, natural language processing, and data science, making it a valuable resource for those building or studying advanced predictive models.
1,045 stars.
Use this if you are a researcher, data scientist, or machine learning engineer looking for cutting-edge research and open-source implementations related to gradient boosting for various AI tasks.
Not ideal if you are looking for introductory material on gradient boosting or pre-built, production-ready libraries without delving into research papers.
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Jan 05, 2026
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