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GitHub / benedekrozemberczki / awesome-gradient-boosting-papers
A curated list of gradient boosting research papers with implementations.
Stars: 982
Forks: 154
Open Issues: 2
License: cc0-1.0
Language: Python
Repo Size: 1.48 MB
Dependencies:
0
Created: about 5 years ago
Updated: 15 days ago
Last pushed: 2 months ago
Last synced: 5 days ago
Commit Stats
Commits: 205
Authors: 1
Mean commits per author: 205.0
Development Distribution Score: 0.0
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/benedekrozemberczki/awesome-gradient-boosting-papers
Topics: adaboost, boosting, catboost, classification-algorithm, classification-tree, classification-trees, classifier, decision-tree, deep-learning, gradient-boosted-trees, gradient-boosting, gradient-boosting-classifier, gradient-boosting-decision-trees, gradient-boosting-machine, h2o, lightgbm, machine-learning, random-forest, xgboost, xgboost-algorithm
Funding links: https://github.com/sponsors/benedekrozemberczki
Files
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