GBDT

Gradient Boosting Algorithm

An implementation of Gradient Boosted Decision Trees with sparse output for high-dimensional data

Implementation of "Gradient Boosted Decision Trees for High Dimensional Sparse Output" in ICML 17

GitHub

0 stars
3 watching
0 forks
last commit: over 8 years ago
Linked from 2 awesome lists


Backlinks from these awesome lists:

Related projects:

RepositoryDescriptionStars
kingfengji/mgbdtAn implementation of a gradient boosting decision tree model102
gbdt-pl/gbdt-plAn implementation of a gradient boosting algorithm with piece-wise linear regression trees for efficient machine learning model training151
priyeshv/gbdt-ccA Matlab implementation of a machine learning algorithm for collective classification tasks using gradient boosted decision trees.1
jinlow/forustA package implementing a lightweight gradient boosted decision tree algorithm68
dmlc/xgboost.jlA Julia package implementing a distributed gradient boosting framework with efficient linear model solver and tree learning algorithms.288
fanny-yang/earlystoppingrkhsCode for analyzing early stopping in kernel boosting algorithms0
stanfordmlgroup/ngboostA Python library implementing a machine learning boosting framework with probabilistic prediction capabilities1,663
younghjung/onlinemlrboostingwithvfdtAn implementation of online multi-label ranking boosting using VFDT as weak learners4
sjsingh91/ib-cnnA library implementing a learning algorithm for improving classification accuracy with incremental updates and ensemble methods using neural networks2
tqchen/xgboostAn optimized distributed gradient boosting library for machine learning572
arogozhnikov/infiniteboostA software package implementing an ensemble boosting method with gradient descent184
gbm-developers/gbmAn R package providing extensions to AdaBoost and gradient boosting machine algorithms for regression and other tasks.52
chasedehan/boostarootaAn algorithm for fast feature selection using XGBoost and other tree-based classifiers219
bsharchilev/influence_boostingThis repository implements methods to find influential training samples in Gradient Boosted Decision Trees ensembles67
serengil/chefboostA Python library providing a lightweight framework for building decision trees with categorical feature support463