Search Results for "matlab code" - Page 4
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Showing 211 open source projects for "matlab code"
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Activity Recognition
Resources about activity recognition
This repository is a curated collection of resources, papers, code, and summaries relating to human activity recognition/behavior recognition. It is not a single integrated software package but rather a knowledge base organizing feature extraction methods, deep learning approaches, transfer learning strategies, datasets, and representative research in behavior recognition. The repository includes links to code in MATLAB, Python, summaries of algorithms, datasets, and relevant research papers. ... -
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Syntastic
Syntax checking hacks for vim
...This can be done on demand, or automatically as files are saved. If syntax errors are detected, the user is notified and is happy because they didn't have to compile their code or execute their script to find them. At the time of this writing, syntastic has checking plugins for ACPI Source Language, ActionScript, Ada, Ansible configurations, API Blueprint, AppleScript, AsciiDoc, Assembly languages, BEMHTML, Bro, Bourne shell, C, C++, C#, Cabal, Chef, CMake, CoffeeScript, Coco, Coq, CSS, Cucumber, CUDA, D, Dart, DocBook, Dockerfile, Dust, Elixir, Erlang, eRuby, Fortran, Gentoo metadata, GLSL, Go, Haml, Haskell, Haxe, Handlebars, HSS, HTML, Java, JavaScript, JSON, JSX, LESS, Lex, Limbo, LISP, LLVM intermediate language, Lua, Markdown, MATLAB, Mercury, NASM, Nix, Objective-C, Objective-C++, OCaml, Perl, Perl POD, PHP, etc. -
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Coursera Machine Learning
Coursera Machine Learning By Prof. Andrew Ng
CourseraMachineLearning is a personal collection of resources, notes, and programming exercises from Andrew Ng’s popular Machine Learning course on Coursera. It consolidates lecture references, programming tutorials, test cases, and supporting materials into one repository for easier review and practice. The project highlights fundamental machine learning concepts such as hypothesis functions, cost functions, gradient descent, bias-variance tradeoffs, and regression models. It also organizes... -
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A symbolic framework for C++, Python and Octave implementing automatic differentiation by source code transformation in forward and reverse modes on sparse matrix-valued computational graphs.
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OpenFace
A state-of-the-art facial behavior analysis toolkit
OpenFace is an advanced facial behavior analysis toolkit intended for computer vision and machine learning researchers, those in the affective computing community, and those who are simply interested in creating interactive applications based on facial behavior analysis. The OpenFace toolkit is capable of performing several complex facial analysis tasks, including facial landmark detection, eye-gaze estimation, head pose estimation and facial action unit recognition. OpenFace is able to... -
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Sensitizer
A toolset to automate STOP analysis with Zemax OpticStudio
SENSITIZER is an ESO software toolset written in Matlab and Mathematica aiming at automating some Structural/Thermal/Optical Performance (STOP) sensitivity analyses with Zemax OpticStudio (ZOS). The core code of SENSITIZER runs in MATLAB and drives ZOS in the background through the ZOS-API interface, based on .NET. The output is saved in the MATLAB file format and can be post-processed using MATLAB and/or Mathematica routines. -
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easy-dhpsf
GUI for fitting 3D single-molecule images using the double-helix PSF
This package of MATLAB routines with accompanying GUI allows scientific users to measure the 3D location of single molecules when using the double-helix point spread function (DH-PSF) widefield microscope. Version 2 also includes code that facilitates combining localization data from two spectral channels using a locally-weighted quadratic 3D registration function Features - Double-Gaussian estimator is calibrated via an axial scan of bright immobile fluorescent emitters (e.g. beads) - DH localization is performed through template matching and subsequent double Gaussian fitting - Tiff stacks of SM images are analyzed using template matching followed by double-Gaussian fitting to extract estimates of the molecule positions - Two spectral channels are registered by generating a locally-weighted quadratic mapping function from control point pairs -
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MATLAB Robotics
MATLAB sample codes for mobile robot navigation
...The code is written to be accessible and easy to adapt, enabling experimentation with both classical and modern robotics techniques. By using MATLAB’s visualization and numerical capabilities, the repository offers intuitive demonstrations of algorithms in action. As an open resource, it encourages contributions and serves as a foundation for building and testing robotics concepts in simulation. -
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ConvNet Burden
Memory consumption and FLOP count estimates for convnets
convnet-burden is a MATLAB toolbox / script collection estimating computational cost (FLOPs) and memory consumption of various convolutional neural network architectures. It lets users compute approximate burdens (in FLOPs, memory) for standard image classification CNN models (e.g. ResNet, VGG) based on network definitions. The tool helps researchers compare the computational efficiency of architectures or quantify resource needs. Estimation of memory consumption (e.g. feature map sizes,... -
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The DREAM Toolbox
The DREAM toolbox is a free open source acoustic field simulation tool
The DREAM (Discrete REpresentation Array Modelling) toolbox is a free open source toolbox, for both Matlab and Octave , for simulating acoustic fields radiated from common ultrasonic transducer types and arbitrarily complicated ultrasonic transducers arrays. The DREAM toolbox enables analysis of beam-steering, beam-focusing, and apodization for wideband (pulse) excitation both in near and far fields. The code in the svn repository # svn co http://svn.code.sf.net/p/dreamtoolbox/code/trunk dream is not used actively anymore and is kept here for referecne only. ... -
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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. -
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OpenCE
Contrast Enhancement Techniques for low-light images
OpenCE is an open source implementation of the paper Cascaded Pyramid Network for Multi-Person Pose Estimation (CVPR 2018) by Yilun Chen, Zhicheng Wang, Yuxiang Peng, Zhiqiang Zhang, Gang Yu, and Jian Sun. The framework provides a complete training and evaluation pipeline for human pose estimation using a cascaded pyramid network (CPN). OpenCE leverages a feature pyramid structure combined with a refinement stage to improve keypoint detection accuracy across multiple scales, particularly for... -
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MatlabFunc
Matlab codes for feature learning
...The project is intended to provide reusable and adaptable MATLAB code that can save time for researchers and students working on experimental or applied projects. By consolidating these tools in one place, MatlabFunc serves as a practical reference and toolkit for both academic and engineering purposes. Contributions and improvements from the community are encouraged, allowing the repository to grow into a richer resource over time. -
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SoDiOpt
A numerical solver for optimization-constrained differential equations
SoDiOpt is a MATLAB-based code that performs numerical integration of Optimization-Constrained Differential Equations (OCDE). SoDiOpt provides efficient numerical solution of OCDE by using the optimality-based solution method. A sequence of DAE systems are generated and classical index-1 DAE simulator is applied to solve the derived DAE systems. -
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mAP
Evaluates the performance of your neural net for object recognition
In practice, a higher mAP value indicates a better performance of your neural net, given your ground truth and set of classes. The performance of your neural net will be judged using the mAP criteria defined in the PASCAL VOC 2012 competition. We simply adapted the official Matlab code into Python (in our tests they both give the same results). First, your neural net detection-results are sorted by decreasing confidence and are assigned to ground-truth objects. We have "a match" when they share the same label and an IoU >= 0.5 (Intersection over Union greater than 50%). This "match" is considered a true positive if that ground-truth object has not been already used (to avoid multiple detections of the same object). -
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Matlab/Octave Rotations Library
Library for working with 3D rotations in Matlab/Octave
The Matlab/Octave rotations library is a collection of functions, bundled as m-scripts, that address computations and numerical handling of rotations in 3D Euclidean space. The rotation representations that are supported are rotation matrices (Rotmat), Quaternions (Quat), intrinsic ZYX Euler angles (Euler), fused angles (Fused) and tilt angles (Tilt). Operations such as composition, inversion, ZYX yaw extraction, fused yaw extraction, random generation, equality detection, vector rotation... -
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Rotations Conversion Library
Library for working with 3D rotations in C++
The Rotations Conversion Library (RCL) is a collection of C++ functions that address common computations and numerical handling of rotations in 3D Euclidean space, including support for rotation matrices (`Rotmat`), Quaternions (`Quat`), intrinsic ZYX Euler angles (`Euler`), fused angles (`Fused`) and tilt angles (`Tilt`). In addition to the core competency of being able to convert between each of the representations, operations such as inversion, ZYX yaw extraction, fused yaw extraction,... -
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Pter0dacty is a programmed version of the NACA Technical Report 572 to determinate the characteristics of tapered wings.
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CNVMM
CNVMM performs copy number variations detection
...The input file is a single short read mapping result from any short read aligners. However, NNmapper or Bowtie2, which detect all mapping results for multi-reads, are recommended. To use the code, MATLAB installation is required. Mac or Linus system is required. -
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This is a public repository for the Accelerator Toolbox, Matlab based accelerator physics code.
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GlycoPAT
Comprehensive, open-source tool for glycoproteomics MS data analysis
GlycoPAT is a modular, open-source MATLAB based toolbox for shotgun mass spectrometry based glycoproteomics data analysis. This program provides a novel platform for the streamlined analysis of traditional LC-MSn based high-throughput experimental data for the identification of site-specific N- and O-linked glycosylation on various proteins. More details are available at https://www.VirtualGlycome.org/glycopat Source code also available at https://github.com/kaichengub/GlycoPAT If you use this software please cite: Gang Liu, Kai Cheng, Chi Y. ... -
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The code consists of an automatic segmentation system that is based on the Hough transform, and is able to localize the circular iris and pupil region, occluding eyelids and eyelashes, and reflections. The extracted iris region was then normalized into a rectangular block with constant dimensions to account for imaging inconsistencies. Finally, the phase data from 1D Log-Gabor filters was extracted and quantized to four levels to encode the unique pattern of the iris into a bit-wise...
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ECO
Matlab implementation of the ECO tracker
ECO (Efficient Convolution Operators for Tracking) is a high-performance object tracking algorithm developed by Martin Danelljan and collaborators. It is based on discriminative correlation filters and designed to handle appearance changes, occlusions, and scale variations in visual object tracking tasks. The code provides a MATLAB implementation of the ECO and ECO-HC (high-speed) variants and was one of the top performers on multiple visual tracking benchmarks. -
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This program calculate the similarity index of two images and tells user in terms of percentage that how much the two images are similar and where the difference lies. The images of the person should be of same posture/angle. This method is still in its development phase and yet more work has to be done on it. It is best for learning how to compare two images that are quite similar to each other. A very interesting application of this code is that a person can check its face before and after...
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The QuAd library contains MATLAB codes for generating verilog codes of any configuration of QuAd. It also contains functional MATLAB model of QuAd that can be used for simulations at higher abstraction levels. The library also includes PMF and Error Estimation code for QuAd configurations. This open-source library is developed to facilitate comparisons, and to facilitate research and development in AC at higher abstraction levels.
