benedekrozemberczki / awesome-gradient-boosting-papers
A curated list of gradient boosting research papers with implementations.
Why this job: name: awesome; says: curated list
What it does
A curated list of gradient and adaptive boosting 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
- 1,054
- On GitHub
- Licence
- CC0-1.0
- Read the terms
- Downloads for
- None listed
- No release files
- Latest tag
- v_0004
- Released 10 months ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 50% closed
- 2 still open
- Pull requests
- 1 merged
- 1 waiting
- Releases
- 4
- 1 in the last year
- Contributing guide (opens in new tab)
- No security policy
- Code of conduct (opens in new tab)
Similar repos
| Repo | Stars | Last commit | Licence | Downloads for |
|---|---|---|---|---|
| catboost / catboost | 9,200 | today | Apache-2.0 | Mac, Windows, Linux |
More: languages, topics and project record
Languages
- Python 100%
Topics
- gradient-boosting
- gradient-boosting-classifier
- gradient-boosting-machine
- gradient-boosted-trees
- gradient-boosting-decision-trees
- xgboost
- xgboost-algorithm
- catboost
- lightgbm
- random-forest
- decision-tree
- classification-algorithm
Project record
- JobLists and guides
- StatusListed
- Commits217
- Forks165
- Watching47
- Stars in 28 days+1
- CreatedMay 11, 2019
- First seen by usNov 7, 2026
- CheckedNov 8, 2026