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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 about a year ago
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...
Created
2015-03-28
522 commits to master branch, last one 5 years ago
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 about a year ago
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
Created
2018-03-14
169 commits to master branch, last one 2 years ago
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 ...
Created
2019-03-06
405 commits to master branch, last one 21 days ago
Machine learning for C# .Net
Created
2017-02-14
618 commits to master branch, last one 2 months ago
Performance of various open source GBM implementations
Created
2017-05-27
504 commits to master branch, last one 10 months ago
This repository has no description...
Created
2014-01-13
103 commits to master branch, last one 2 years ago
A collection of boosting algorithms written in Rust 🦀
Created
2021-08-03
363 commits to main branch, last one 3 months ago
An example project that predicts house prices for a Kaggle competition using a Gradient Boosted Machine.
php
rubix
kaggle
php-ml
ensemble
rubix-ml
regression
data-science
gradient-boost
housing-prices
gradient-descent
machine-learning
gradient-boosting
kaggle-competition
php-machine-learning
gradient-boosted-trees
gradient-boosting-machine
machine-learning-tutorial
predicting-housing-prices
gradient-boosting-regressor
Created
2018-11-29
57 commits to master branch, last one 3 years ago
mlim: single and multiple imputation with automated machine learning
Created
2022-07-27
391 commits to main branch, last one 8 months ago