10 results found Sort:

benedekrozemberczki
awesome-decision-tree-papers benedekrozemberczki
335
2.4k
cc0-1.0
132
A collection of research papers on decision, classification and regression trees with implementations.
cart xgboost catboost lightgbm classifier decision-tree random-forest tree-ensemble regression-tree machine-learning ensemble-learning gradient-boosting decision-tree-model classification-model classification-trees statistical-learning decision-tree-learning decision-tree-classifier gradient-boosting-machine machine-learning-research
Created 2019-05-11
281 commits to master branch, last one 9 months ago
szilard
benchm-ml szilard
334
1.9k
mit
148
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algor...
r h2o spark python xgboost data-science deep-learning random-forest machine-learning gradient-boosting-machine
Created 2015-03-28
522 commits to master branch, last one 5 years ago
benedekrozemberczki
awesome-gradient-boosting-papers benedekrozemberczki
155
1.0k
cc0-1.0
49
A curated list of gradient boosting research papers with implementations.
h2o xgboost adaboost boosting catboost lightgbm classifier decision-tree deep-learning random-forest machine-learning gradient-boosting xgboost-algorithm classification-tree classification-trees gradient-boosted-trees classification-algorithm gradient-boosting-machine gradient-boosting-classifier gradient-boosting-decision-trees
Created 2019-05-11
206 commits to master branch, last one 9 months ago
jphall663
interpretable_machine_learning_with_python jphall663
207
673
unknown
42
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
h2o iml xai lime fatml python fairness data-mining data-science transparency decision-tree interpretable accountability interpretability interpretable-ai interpretable-ml machine-learning gradient-boosting-machine interpretable-machine-learning machine-learning-interpretability
Created 2018-03-14
169 commits to master branch, last one about a year ago
serengil
chefboost serengil
101
463
mit
18
A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting, Random Forest and Adaboost w/categorical ...
gbm id3 cart gbdt gbrt kaggle python adaboost c45-trees data-mining data-science random-forest decision-trees regression-tree machine-learning gradient-boosting categorical-features gradient-boosting-machine gradient-boosting-machines
Created 2019-03-06
404 commits to master branch, last one about a month ago
mdabros
SharpLearning mdabros
86
387
mit
39
Machine learning for C# .Net
csharp dotnet machine metrics adaboost learning opensource neural-nets deep-learning random-forest decision-trees cross-validation machine-learning ensemble-learning gradient-boosting-machine
Created 2017-02-14
615 commits to master branch, last one 8 months ago
szilard
GBM-perf szilard
28
216
mit
22
Performance of various open source GBM implementations
gbm h2oai xgboost lightgbm benchmark machine-learning gradient-boosting-machine
Created 2017-05-27
504 commits to master branch, last one 6 months ago
qiyiping
gbdt qiyiping
69
93
gpl-2.0
12
This repository has no description...
gbm gbdt gbrt machine-learning gradient-boosting boosting-algorithms gradient-boosting-machine gradient-boosting-decision-trees
Created 2014-01-13
103 commits to master branch, last one 2 years ago
rmitsuboshi
miniboosts rmitsuboshi
5
49
mit
2
A collection of boosting algorithms written in Rust 🦀
rust lpboost adaboost boosting erlpboost softboost totalboost smoothboost adaboost-star neural-network machine-learning gradient-boosting boosting-algorithm corrective-erlpboost gradient-boosting-machine graph-separation-boosting
Created 2021-08-03
353 commits to main branch, last one 17 days ago
haghish
mlim haghish
1
30
other
2
mlim: single and multiple imputation with automated machine learning
r gbm glm automl rstats imputation elastic-net data-science missing-data classimbalance rstats-package stack-ensemble machine-learning gradient-boosting imputation-methods multipleimputation imputation-algorithm extreme-gradient-boosting gradient-boosting-machine automatic-machine-learning
Created 2022-07-27
391 commits to main branch, last one 4 months ago