Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet
Seminar work "Decision Trees - An Introduction" with presentation, seminar paper, and Python implementation
#计算机科学#A collection of research papers on decision, classification and regression trees with implementations.
翻译 - 有关决策，分类和回归树及其实现的研究论文的集合。
Ensembles of decision trees in go/golang.
A python implementation of the CART algorithm for decision trees
Compiled Decision Trees for scikit-learn
Parallel Gradient Boosting Decision Trees
Dialog Trees, Decision Trees, Behavior Trees, Pine Trees... one plugin for all of the above.
Software for creating and analyzing decision trees.
Machine Learning University: Decision Trees and Ensemble Methods
Randomized Decision Trees: A Fast C++ Implementation of Random Forests.
Simple implementation of CART algorithm to train decision trees
Real time face landmarking using decision trees and NN autoencoders
翻译 - 使用决策树和NN自动编码器进行实时人脸标记
A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.
Implementation of Random Forests model and decision trees in C
This project implements random forests and gradient boosted decision trees (GBDT). The latter uses gradient tree boosting. Both use ensemble learning to produce ensembles of decision trees (that is, f...
[ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples
Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles