mGBDT
Gradient boosting tree
An implementation of a gradient boosting decision tree algorithm with target propagation capabilities
This is the official clone for the implementation of the NIPS18 paper Multi-Layered Gradient Boosting Decision Trees (mGBDT) .
102 stars
7 watching
25 forks
Language: Python
last commit: about 6 years ago
Linked from 2 awesome lists
gbdtgradient-boosting-decision-treesmgbdtrepresentation-learningtarget-propagation
benedekrozemberczki/awesome-decision-tree-papersRelated projects:
| Repository | Description | Stars |
|---|---|---|
 springdaisy/gbdt | An implementation of Gradient Boosted Decision Trees with sparse output for high-dimensional data | 0 |
 gbdt-pl/gbdt-pl | An implementation of a gradient boosting algorithm with piece-wise linear regression trees for efficient machine learning model training | 149 |
 priyeshv/gbdt-cc | A Matlab implementation of a machine learning algorithm for collective classification tasks using gradient boosted decision trees. | 1 |
 stanfordmlgroup/ngboost | A Python library implementing a machine learning boosting framework with probabilistic prediction capabilities | 1,654 |
 harshakokel/kigb | An open-source software framework that integrates human advice into gradient boosting decision trees for improved performance in machine learning tasks. | 8 |
 jinlow/forust | A package implementing a lightweight gradient boosted decision tree algorithm | 67 |
 dmitryikh/leaves | A Go library implementing prediction code for Gradient Boosting Regression Trees (GBRT) models from popular frameworks. | 432 |
 dmlc/xgboost.jl | A Julia package implementing a distributed gradient boosting framework with efficient linear model solver and tree learning algorithms. | 289 |
 serengil/chefboost | A Python library providing a lightweight framework for building decision trees with categorical feature support | 460 |
 tqchen/xgboost | An optimized distributed gradient boosting library for machine learning | 571 |
 bsharchilev/influence_boosting | This repository implements methods to find influential training samples in Gradient Boosted Decision Trees ensembles | 67 |
 younghjung/onlinemlrboostingwithvfdt | An implementation of online multi-label ranking boosting using VFDT as weak learners | 4 |
| dmlc/xgboost | An optimized distributed gradient boosting library designed to be highly efficient and flexible | 26,329 |
 gbm-developers/gbm | An R package providing extensions to AdaBoost and gradient boosting machine algorithms for regression and other tasks. | 51 |
 arogozhnikov/infiniteboost | A software package implementing an ensemble boosting method with gradient descent | 184 |