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03-getting-cleaning-data-project

abc-rec-sys

activecontour-3d

This repository implements active contour 3D on brain tumor volume .mha files

activecontour2d

This repository implements greedy active contour 2D

automatic-tag-removal-from-mri-images

This repo tries to automatically remove the tags in the MRI images

bootstrap-table

An extended Bootstrap table with radio, checkbox, sort, pagination, and other added features. (supports twitter bootstrap v2 and v3)

ci-test

d3

Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

datasciencecoursera

datasharing

The Leek group guide to data sharing

dft-filters

This repo script Design and implement a program that allows the user to:  Browse for a grey scale image file to open and show the image (Img)  Text file that contains a 2D kernel (h). Each line represents one row of the kernel and the values in each row are separated by some delimiter. The values in this file can be edited in any text editor. The kernel size should be recognized automatically when opening the file.  “Apply Filter” to convolve Img with h using:  matlab function, show result.  your for loops (not matlab functions), show result.  DFT properties (move to FT domain, do your processing, and return back. The return should be the convolution result), show result.

ds-regression-project

You work for Motor Trend, a magazine about the automobile industry. Looking at a data set of a collection of cars, they are interested in exploring the relationship between a set of variables and miles per gallon (MPG) (outcome). They are particularly interested in the following two questions: - “Is an automatic or manual transmission better for MPG” - "Quantify the MPG difference between automatic and manual transmissions"

dscapstone

Coursera/Johns Hopkins Data Science Cert Capstone

ellipsedetection

This repo targets detection of plates from set of images from yelp competition dataset

emoji-cheat-sheet.com

A one pager for emojis on Campfire and GitHub

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

facedetection

This repo aims to detect faces from some samples of images get from yelp challenge

facemask_model-control

you are provided with a 3D model of a human face (face.vtk) and texture image (face.ppm). You’ll be required to load the textured model in a lighted scene, perform smooth Gouraud shading, manipulate the model, the lights and the camera.

facemodel

In this repo you are provided with a 3D model of a human face (face.vtk) and texture image (face.ppm). This code is required to load the textured model in a lighted scene, perform smooth Gouraud shading, manipulate the model, the lights and the camera.

fast-cubic-spline-python

Implementation of 1D and 2D fast spline interpolation algorithm (Habermann and Kindermann 2007) in Python

find-furniture

In this repo I'm trying to find furniture in the given set of images , (NB) these images are small subset of yelp dataset

fisher-linear-classiffier

This repo implements a Fisher’s linear discriminant classifier that can recognize scanned images of the 26 lower-case characters provided in the file “Assignment 1 Dataset.zip”.

flat-admin-bootstrap-templates

Free Bootstrap 3 Administrator Site Templates

galaxy-hub

Galaxy Community Hub

gdrive

Google Drive CLI Client

git-real

histogram-image-interpolation

This repo have scripts for histogram , Adaptive histogram and Image interpolation comparison between manually written techniques and ready functions, there is pdf shows results in used images

hough-transform

this repo Implement Hough transform to detect:  Lines  Circles  Ellipses Choose and prepare 2 different images for each set (i.e. 2 images that contains lines, 2 images that contains circles, 2 images that contains ellipses). Choose and prepare 2 different images, each contains lines and circles. Compare between your implementation and the matlab implementation if exist.

human-activity-recognition

The goal of your project is to predict the manner in which they did the exercise. This is the "classe" variable in the training set. You may use any of the other variables to predict with. You should create a report describing how you built your model, how you used cross validation, what you think the expected out of sample error is, and why you made the choices you did. You will also use your prediction model to predict 20 different test cases.

ipas-snps

This Repo created to adapt iPAS statistical method to SNPs pathoginicity scores to quantify the activity of a given pathway