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GRS's Projects

random-forest-matlab icon random-forest-matlab

A Random Forest implementation for MATLAB. Supports arbitrary weak learners that you can define.

randomsampling icon randomsampling

This is a project to test the random sampling strategy in hyperspectral image classification.

ranknet icon ranknet

My (slightly modified) Keras implementation of RankNet as described here: http://icml.cc/2015/wp-content/uploads/2015/06/icml_ranking.pdf.

ransac-toolbox icon ransac-toolbox

A toolbox to experiment with the RANSAC algorithm for Matlab and Octave

rasphypcam icon rasphypcam

Hyperspectral Imaging Sensor. Server in Raspberry.

raster-functions icon raster-functions

A curated set of lightweight but powerful tools for on-the-fly image processing and raster analysis in ArcGIS.

raster-types icon raster-types

A set of Raster Types for ArcGIS developed using the Python language.

rasterio icon rasterio

Rasterio reads and writes geospatial raster datasets

rasterpy icon rasterpy

:floppy_disk: Basic routines to read and write raster files with python

rat icon rat

RAT - Radar Tools: SAR image processing toolbox (discontinued)

raven icon raven

RAVEN is a flexible and multi-purpose probabilistic risk analysis, uncertainty quantification, parameter optimization and data knowledge-discovering framework.

rbf icon rbf

Demonstartion of Radial Basis Functions in neural networks

rbf-network-digits icon rbf-network-digits

Python Implementation of a Radial Basis Function Neural Network for Handwritten Digit Classification

rbf-neural-network icon rbf-neural-network

Radial Basis Function Neural Network designed to predict house prices in the Boston area

rbfneuralnetwork icon rbfneuralnetwork

This is a radial basis function neural network using the scikit-learn project tutorial. (see http://scikit-learn.org/stable/)

rbfnnpy icon rbfnnpy

Radial Basis Function Neural Network implementation for Python

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