ranger

Random Forest Engine

A fast implementation of random forests suitable for high-dimensional data in C++

A Fast Implementation of Random Forests

GitHub

776 stars
41 watching
193 forks
Language: C++
last commit: 13 days ago
Linked from 3 awesome lists


Backlinks from these awesome lists:

Related projects:

Repository Description Stars
masatoi/cl-random-forest An implementation of Random Forest for multiclass classification and univariate regression in Common Lisp. 59
mljs/random-forest A JavaScript implementation of a random forest algorithm for classification and regression tasks. 61
karpathy/forestjs An implementation of a Random Forest algorithm for binary classification in JavaScript. 299
karpathy/random-forest-matlab An implementation of a Random Forest algorithm in MATLAB 183
tmadl/sklearn-random-bits-forest An implementation of a hybrid machine learning algorithm combining neural networks, boosting, and random forests. 9
malaschitz/randomforest A Go implementation of random forest algorithms for machine learning and data analysis 46
fxsjy/rf.go An implementation of Random Forest algorithm in GoLang for classification and regression tasks. 114
doubleplusplus/incremental_decision_tree-cart-random_forest An implementation of incremental decision tree algorithms and ensemble methods for efficient machine learning on streaming data 100
ehrlinger/ggrandomforests A package for visualizing and analyzing random forest models using ggplot2 146
gasche/random-generator A library to provide an elegant interface for random value generation through combinator libraries. 27
vidalt/ba-trees Transforms random forests into minimal-size trees with the same prediction function across the entire feature space. 64
zdanielsresearch/hellingertreesmatlab Implementation of Hellinger Distance Decision Trees and Forests for binary decision problems with imbalanced data and numeric attributes. 1
serengil/chefboost A Python library providing a lightweight framework for building decision trees with categorical feature support 460
shmh40/detectreergb A repository containing scripts and notebooks to analyze tree crown delineation from RGB imagery and LiDAR data, including methods for analyzing mortality rates and carbon stocks. 35
raphaelcampos/stacking-bagged-boosted-forests This project presents a novel approach to classification using Random Forests and stacking techniques 6