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Showing 23 open source projects for "example"
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Machine Learning Octave
MatLab/Octave examples of popular machine learning algorithms
This repository contains MATLAB / Octave implementations of popular machine learning algorithms, along with explanatory code and mathematical derivations, intended as educational material rather than production code. Implementations of supervised learning algorithms (linear regression, logistic regression, neural nets). The author’s goal is to help users understand how each algorithm works “from scratch,” avoiding black-box library calls. Code written so as to expose and comment on... -
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LRSLibrary
Low-Rank and Sparse Tools for Background Modeling and Subtraction
LRSLibrary is a MATLAB library offering a broad collection of low-rank plus sparse decomposition algorithms, primarily aimed at background/foreground modeling from videos (background subtraction) and related computer vision tasks. Compatibility across MATLAB versions (tested in R2014–R2017) The library includes matrix and tensor methods (over 100 algorithms) and has been tested across MATLAB versions from R2014 onward. The algorithms can also be adapted to other computer vision or machine... -
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Gait Tracking With x-IMU
Foot tracking algorithm demonstrated in Seb Madgwick's 3D Tracking
This repository provides the source code for a foot-tracking algorithm using an inertial measurement unit (IMU) attached to the foot, as demonstrated in Seb Madgwick’s “3D Tracking with IMU” video (March 2011). The method performs dead reckoning to integrate foot motion and corrects for drift at each foot strike (when the foot touches the ground) to reset error accumulation. The algorithm was part of gait analysis research, estimating foot trajectories in 3D over time. The repo is marked “no... -
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OptimTraj
A trajectory optimization library for Matlab
OptimTraj is a MATLAB toolbox for solving trajectory optimization problems. It supports direct collocation, shooting methods, and pseudospectral methods for finding optimal control inputs and system trajectories. It is useful for robotics, aerospace, biomechanics, and any domain requiring time-optimal or energy-optimal motion planning. -
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Frame3DD
Static and Dynamic Structural Analysis of 2D and 3D frames.
FRAME3DD is a program for the static and dynamic structural analysis of two- and three-dimensional frames and trusses with elastic and geometric stiffness. -
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Coding-Guide
Repository of coding guidelines, developer notes, learning resources
The Coding-Guide repository is a personal repository of coding guidelines, developer notes, learning resources, and documentation spanning topics from front-end to full-stack, coding practices, and software development tips. The repository appears to be maintained by “ecmadao” and intended as a reference/knowledge base of best practices, notes, style conventions, and reminders. The content is typically documentation, markdown files, code snippets, and tutorials, rather than a coherent,... -
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CAM
Class Activation Mapping
...The method involves modifying a CNN model slightly (e.g., using global average pooling before the final layer) to produce a weighted combination of feature maps as the class activation map. Integration with existing CNNs (with light modifications). Sample scripts/examples using standard architectures. The repo provides example code and instructions for applying CAM to existing CNN architectures. Visualization of discriminative regions per class. -
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Robust Tube MPC
Example implementation for robust model predictive control using tube
...Tube-based MPC achieves robustness by combining a nominal trajectory planner with an error feedback controller that keeps the actual system state within a "tube" around the nominal trajectory. This repository includes example scripts and implementations demonstrating how to apply the method to control problems. It is particularly useful for researchers, students, and engineers exploring robust control strategies in uncertain environments. By offering a structured implementation, robust-tube-mpc makes it easier to study and extend advanced MPC techniques for real-world applications. -
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Machine Learning Homework
Matlab Coding homework for Machine Learning
...Because it is structured as homework or practice material, the code is likely intended more for didactic use than for production deployment. It may contain comments, example datasets, and perhaps test scripts. The repository does not seem to be heavily maintained as a software project; rather, it functions as a library of solved problems and educational examples. The project is useful if you want working MATLAB examples of classic ML techniques, to study, adapt, or compare with your own implementations. -
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Kalibr Allan
IMU Allan standard deviation charts
...The workflow involves recording IMU measurements with the device stationary, converting ROS bag files into MATLAB-compatible formats, and then running MATLAB scripts to generate Allan deviation plots. These plots are analyzed to determine noise density and random walk parameters for both gyroscopes and accelerometers. The repository also includes example data and plots from real sensors such as the XSENS MTI-G-700, Tango Yellowstone Tablet, and ASL-ETH VI-Sensor, providing reference points for interpretation. -
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Faster R-CNN
Object detection framework based on deep convolutional networks
...The Faster R-CNN architecture combines a Region Proposal Network (RPN) with a Fast R-CNN style detection network to share convolutional feature maps and thus speed up detection. The repo includes code to train, test, and deploy Faster R-CNN models under the MATLAB / Caffe environment, example configuration files, and model checkpoints. Multiple configuration files for different datasets and architectures. Evaluation scripts for mAP and detection metrics. -
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MIMO OFDM
MATLAB implementation source code accompanying the book MIMO-OFDM
This repository contains the MATLAB implementation source code accompanying the book “MIMO-OFDM 无线通信技术及 MATLAB 实现” (MIMO-OFDM Wireless Communication Technology and MATLAB Implementation). The repository is structured to match chapters in the book, providing code for topics such as OFDM basics, MIMO channel models, channel estimation, PAPR, spatial multiplexing, diversity techniques, etc. It helps readers replicate examples in the textbook and test MATLAB simulations of wireless communication... -
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Toolbox
Piotr's Image & Video Matlab Toolbox
Piotr’s Image & Video MATLAB Toolbox is a general-purpose MATLAB toolbox for image and video processing and vision tasks, offering utilities, filters, detection, feature extraction, and algorithm building blocks. Example and demo scripts for usage (e.g. acfReadme, detector readmes). It augments MATLAB’s native capabilities (not replacing the Image Processing Toolbox) by providing efficient, reusable wrappers and optimized routines. Example and demo scripts for usage (e.g. acfReadme, detector readmes). Support for compilation / mex (for speed) and cross-platform compatibility. -
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Deep Photo Style Transfer
Code and data for paper "Deep Photo Style Transfer"
...It relies on semantic segmentation masks to guide style transfer (so that e.g. sky maps to sky, building maps to building), and uses a matting Laplacian regularization term to ensure smooth transitions. The repository provides code in Torch (Lua), MATLAB / Octave scripts for computing the Laplacian, and pre-trained models. Pretrained models and example scripts for ease of use. Compatibility with MATLAB / Octave for Laplacian computations. -
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BPL
Bayesian Program Learning model for one-shot learning
...The approach treats each concept (e.g. a character) as being generated by a probabilistic program (motor primitives, strokes, spatial relationships), and inference proceeds by fitting those generative programs to a single example, generalizing to new examples, and generating new exemplars. The repository contains code for parsing stroke sequences, fitting motor programs, exemplar generation, classification, re-fitting, and demonstration scripts. -
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DeepLearnToolbox
Matlab/Octave toolbox for deep learning
...It provides implementations of feedforward neural networks, convolutional neural networks (CNNs), deep belief networks (DBNs), stacked autoencoders, convolutional autoencoders, and more. The toolbox includes example scripts for each method, enabling users to quickly experiment with architectures, training, and inference workflows. Although it's been flagged as deprecated and no longer actively maintained, it is still used for educational and prototyping purposes. Deep belief networks (DBN) and restricted Boltzmann machines (RBM). Example scripts demonstrating usage. -
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flow visualization toolbox
matlab 2D image processing GUI toolbox for flow visualization
...Image can be processed into contour image, matlab mat and tecplot data. This toolbox can be conveniently extended for 2D image processing in other disciplines, for example, surface stress measurement, inferred thermograph, PIV. See developer guide for HOWTO. * example project.mat and calib.mat use abs path will not work for you directly. pl. rebuild yours according to my youtube tutorial -
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Flexible Brain Graph Visualizer
Matlab code to visualise brain graphs from connectivity matrices
...To aid orientation, a cortical mesh can be added, as can convex hull outlines. The colouring and sizing scheme is fully configurable for both edges and vertices. You can see some example output in <http://www.ncbi.nlm.nih.gov/pubmed/22677149> <http://www.ncbi.nlm.nih.gov/pubmed/20541019> <http://www.ncbi.nlm.nih.gov/pubmed/24562717> -
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Open Genetic Algorithm Toolbox
This is a MATLAB toolbox to run a GA on any problem you want to model.
This is a toolbox to run a GA on any problem you want to model. You can use one of the sample problems as reference to model your own problem with a few simple functions. You can collaborate by defining new example problems or new functions for GA, such as scaling, selection or adaptation methods. In that case, you should then include your credits in the file, upload it to matlab central and contact the author. Suggestions are also welcome but naturally I won't be able to attend all of them. -
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SOS-track
Sensory Orientation Software to track animal behavior.
...The program extracts high-resolution kinematic variables (positions, postures, angles, speeds, curvatures, etc) and then uses the motor information to infer sensory experience as the animal freely explores, orients or navigates in different landscapes. All codes, a setp-by-step tutorial, demonstration movie, example data set and detailed information with figures is available in PLoS One. -
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easyNRG
A simple MATLAB implementation of Wilsons NRG-method
...There is no calculation for any thermodynamic quantaties. The implementation is very slow and rather for educational purposes to get an idea of the NRG-method. For example: it is not considered, that only matrix elements between states, whos occupation number differs by one and S_z differs by 1/2. There is only implicit parallelisation implemented by vectorizing the time consuming parts of the code. This code is licensed under the CC BY-SA 3.0 license (http://creativecommons.org/licenses/by-sa/3.0/, http://creativecommons.org/licenses/by-sa/3.0/legalcode) -
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LS-PIV Supplemental Material
Line-scanning particle image velocimetry for analyzing blood flow data
Line-scanning particle image velocimetry (LS-PIV) is an analytical method to quantify blood velocity data generated by many confocal and two-photon excited fluorescence microscopes. We hope that this method will be of use to the research community! The associated files include Matlab code for LS-PIV and example data-sets of measured blood flow in the cerebral cortex of mouse. For additional information, please see the manuscript "Line-Scanning Particle Image Velocimetry: an Optical Approach for Quantifying a Wide Range of Blood Flow Speeds in Live Animals" by Tyson N. Kim, Patrick W. Goodwill, Yeni Chen, Steven M. Conolly, Chris B. Schaffer, Dorian Liepmann, Rong A. ... -
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XFEM
XFEM implementation in MATLAB
The extended finite element method (XFEM) classified, one of the partition of unity method (PUM), allows discontinuities to be simulated independently of the mesh. This is possible by adding appropriate functions to the FE approximation basis, for example, the Heaviside function. The discontinuities can evolve in time, without a need for a conforming mesh. A MATLAB implementation of the XFEM written by VP Nguyen, is given here. The interaction of cracks and crack-inclusion interaction is modelled with XFEM framework. The elements intersected by discontinuity surface are sub-divided into quadrature subcells aligned with the discontinuity and higher order quadrature is adopted. ...
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