Royi's starred repositories
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
vowpal_wabbit
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.
SparkleShare
Share and collaborate by syncing with any Git repository instantly. Linux, macOS, and Windows.
awesome-random-forest
Random Forest - a curated list of resources regarding random forest
scipy_2015_sklearn_tutorial
Scikit-Learn tutorial material for Scipy 2015
CurvatureFilter
Curvature Filters are efficient solvers for Variational Models
superpixels-revisited
Library containing 7 state-of-the-art superpixel algorithms with a total of 9 implementations used for evaluation purposes in [1] utilizing an extended version of the Berkeley Segmentation Benchmark.
Random-Forest-Matlab
A Random Forest implementation for MATLAB. Supports arbitrary weak learners that you can define.
SkinDetector
A Python based skin detection system using OpenCV
ImageSmoothing
A collection of image smoothing algorithms.
libxbr-standalone
Library implementing the xBR pixel art scaling algorithm
cloudcv-bootstrap
A starter template for Node.js with OpenCV bindings. This project lets you to quickly prototype a REST API in a Node.js for a image processing service written in C++.
depixelize
A C++ implementation of the SIGGRAPH 2011 paper Depixelizing Pixel Art, by Johannes Kopf and Dani Lischinski
seeds-revised
Implementation of the superpixel algorithm called SEEDS [1].
Naturalization
Image Naturalization = Enhancement + Image Quality Assessment
pf-segmentation
Image segmentation algorithm of [P Felzenszwalb 2004] for Matlab
18-327-wavelets-filter-banks
This repository is an implementation, using Python with numpy, scipy, matlibplot, PyWavelets and GNU Octave, of MIT OCW 18.327 spring 2003 Wavelets, Filter Banks, and Applications.
Skin-Segmentation
Skin Segmentation using Logisitc Regression.
RF-skin-segmentation
This is an algorithm that uses Random Forests for skin segmentation
colour_segmentation
I wrote a program in Octave, a high-level interpreted language (similar to Matlab), to perform skin colour segmentation using a method developed by Chiunhsiun Lin et al: Colour Image Segmentation Using Relative Values of RGB in Various Illumination Circumstances (Lin, Su, Huang, & Fan, 2011).