mathworks /
MATLAB-Language-grammar
This repository contains a regular expression based language grammar for MATLAB to be used by GitHub Linguist for highlighting MATLAB code on GitHub
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Chaitanya3728 / repository
This GitHub repository contains a project that implements a brain tumor detection algorithm in MATLAB. The algorithm used in this project is based on image processing techniques, specifically segmentation and classification of MRI images.
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This GitHub repository contains a project that implements a brain tumor detection algorithm in MATLAB. The algorithm used in this project is based on image processing techniques, specifically segmentation and classification of MRI images.
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mathworks /
This repository contains a regular expression based language grammar for MATLAB to be used by GitHub Linguist for highlighting MATLAB code on GitHub
52/100 healthn-jokic /
This GitHub repository implements two Model Predictive Control (MPC) approaches for active front steering systems in autonomous vehicles. The methods are inspired by groundbreaking scientific papers. The project utilizes MATLAB and Simulink, requiring
66/100 healthmathworks-robotics /
This GitHub repository contains MATLAB and Simulink utilities and templates to get started developing algorithms for the RoboCup Virtual Robot Manipulation Challenge. The templates include how to control the simulated robot in Gazebo using ROS and how to obtain data from the available robot sensors to be used in perception algorithms.
CisottoGiulia /
This repository contains a set of Matlab scripts to process EEG and EMG signals (feature extraction, spectral analysis, ...).
69/100 healthlinh-gist /
This repository includes Python implementations adapted from Matlab, originally developed by Prof. Ba-Tuong Vo. The original Matlab codes can be found at Prof. Vo's website (https://ba-tuong.vo-au.com/codes.html) or on GitHub (https://github.com/nguyenvanhoa89/tracking/tree/master/Vo_Codes).
78/100 healthalessandroferrari /
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.
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