Generalized Random Forests
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Updated
Sep 22, 2024 - C++
Generalized Random Forests
gesture recognition toolkit
ThunderGBM: Fast GBDTs and Random Forests on GPUs
A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.
This is the implementation of Sparse Projection Oblique Randomer Forest
Tools to detect and classify landmarks (currently, trees and pole-like objects) from point cloud data
GammaRay: a graphical interface to GSLib and other geomodeling algorithms. *NEW* in May, 6th: Drift analysis.
Code for "Learning a Descriptor-Specific 3D Keypoint Detector" and "Learning to detect good 3d keypoints" -ICCV 2015, IJCV 2018
Efficient Online Transfer Learning for 3D Object Detection in Autonomous Driving
Machine Learning and Computer Vision at the Edge for pills counting using ESP32.
C++ implementation of random forests classification, regression, proximity and variable importance.
Deep learning library based on the gcForest algorithm
Legacy OpenCV Machine Learning Examples (2.4.x, C++)
The Header-Only Library For Random Forests
A fast implementation of OpenMP & MPI hybird parallel random forests classifier.
Matlab implementation of "Image quality assessment using human visual DOG model fused with random forest"
Automated tools for analysing fetal heart cardiac videos
Fast C++ implementation of decision tree and random forest classifiers with python bindings.
BLOCKSET: Efficient out of core tree ensemble inference
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