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qttorch

qualitytest

RoR (Rails 4) implementation of subjective experiment on image quality assessment.

queso

QUESO is a C++ library for doing uncertainty quantification. QUESO stands for Quantification of Uncertainty for Estimation, Simulation and Optimization.

quicklisp-client

Quicklisp client.

quiver

Interactive convnet features visualization for Keras

r-bridge

Bridge library to connect ArcGIS and R, including arcgisbinding R library.

r-bridge-install

Install the R ArcGIS Tools

r-builder

Build and check R packages using Travis or other CIs

r-cnn-object-detection

Python-caffe simplified implementation of the R-CNN object detection method. I have taken as a starting point the caffe ipython-notebook available at http://nbviewer.ipython.org/github/BVLC/caffe/blob/master/examples/detection.ipynb . The tutorial requires the use of matlab code for calculating selective search bounding boxes. This make it hard to use and slow. Thus, I have implemented bounding boxes proposal with a pythonized BING that I have implemented in another repository. I have also changed the interaction with the script so that the result is a nicer demo.

r-code-classifiers

The R code compares the performance metrics between logistic regression, SVM, Naive Bayes, Knn and random forest classifers in a 10 fold cross validation loop. The features are iteratively selected in a forward selection manner and everytime a new feature(next best feature selected based on regsubsets) is added the accuracy of the classifers are calculated. Finally a graph is plotted at the end depicting the accuracy at every feature count.

r-code-snippets

A collection of R code snippets intended for others to see and revise

r-deep-learning-cookbook

R Deep Learning Cookbook, published by Packt

r-ecology-lesson

:notebook: Data Carpentry R lessons on ecology. As of March 15, 2017 these lessons are frozen for significant changes in preparation for release.

r-fcn

R-FCN: Object Detection via Region-based Fully Convolutional Networks

r-maching-learning-techniques

Code repository for R Machine Learning Techniques, published by Packt

r-recipes-for-analysis-visualization-and-machine-learning

This is the code repository for R-Recipes-for-Analysis-Visualization-and-Machine-Learning, published by Packt.

r-sample-tools

Sample tools illustrating R usage in geoprocessing scripts

r2cnn_faster-rcnn_tensorflow

Rotational region detection based on Faster-RCNN.

r6rs-ad

Forward and Reverse Mode Automatic Differentiation (AD) in R6RS Scheme plus extensions to support nondeterministic and stochastic programming

radar

Python tools for the procces of radar images, contains classification tools, image analysis tools and Z to Rain conversion, tested for the Aburra Valley located in Medellín, Colombia

radar-calibrate

test suite for calibration of rainfall radar images using groundstations

radar-image-processing-class

radardemo

Custom view display a image like radar

radarimages

Load and Visualize Radar Images on QGIS. A python plug-in

radarmap

Combined map of images from meteoradars in Russia

radartools

Tools to handle sar images.

radarvis

Simple application to change the color scale of a NOAA NWS radar image.

radial-basis-function

classification of iris dataset using radial basis function neural network

radial-basis-function-1

Implements radial basis function for neural network

radial-basis-function-neural-network

RBN lab solution for CSE 779 at Ohio State WI '11: This is not production code.