Open Source MATLAB Software Development Software - Page 4
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MATLAB Software Development Software
View 5994 business solutionsBrowse free open source MATLAB Software Development Software and projects below. Use the toggles on the left to filter open source MATLAB Software Development Software by OS, license, language, programming language, and project status.
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Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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MatlabSimulink2CPP
Demo of Simulink to C++ C or HDL FGA for HFT potential
Video and files download for Visual trading idea to C++ or FPGA HFT Meetup File download sample: test model (Matlab 2014b with Visual Studio 2013 C++ project generated) Powerpoint MATLAB SIMULINK http://quantlabs.net/blog/2015/04/video-and-files-download-for-visual-trading-idea-to-c-or-fpga-hft-meetup/ -
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Must Reading on ISAC
Must Reading Papers, Research Library, Open-Source Code
A design paradigm and corresponding enabling technologies, in which sensing and comms systems are integrated to efficiently utilize congested wireless/hardware resources, and even to pursue mutual benefits. Waveform Design and Signal Processing Aspects for Fusion of Wireless Communications and Radar Sensing. Supported by IEEE ComSoc ISAC Emerging Technology Initiative (ETI). Integrating Sensing and Communications for Ubiquitous IoT. Include reproducible codes, good papers and a research libary. -
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The NUMIPAD library implements several methods/algorithms to solve inverse problems and adaptive decomposition (i.e. Tikhonov regularization, Total Variation, Basis Pursuit, etc.)
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Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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The NJ toolbox (njTBX) is a matlab object API, built on top of Unidata's Netcdf-Java API to facilitate netCDF model data manipulation. Development of njTBX is a part of 'An Open-Source Community Model for Coastal Sediment Transport' project.
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The project goal is to develop several IP cores that would implement artificial neural networks using FPGA resources. These cores will be designed in such a way to allow easy integration in the Xilinx EDK framework.
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Octclipse
Octave Eclipse GUI
Octave development environment built upon Eclipse's Dynamic Languages Toolkit (http://www.eclipse.org/dltk/). Distributed as an Update site for Eclipse 3.7 Indigo and Indigo-based package for several platforms. Supports search, autocompletion, launching scripts, interactive console, debug and integrated plotting on Octave versions 3.2.x, 3.4.x and 3.6.x. The current goal is to make it running out-of-box on multiple platforms. Currently only Linux and Windows are supported. Mac support is possible. The project needs a maintainer for Mac version, since I don't have Mac to build Octclipse and test it on this platform. Also, it is worth to support Eclipse 4.0 Juno with DLTK 4. -
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Online Signature Verification
Real time signature verification using MATLAB and C#
Online Signature Verification technology requires primarily a digitizing tablet and a special pen connected to the USB port of a computer. An individual can sign on the digitizing tablet using the special pen regardless of his signature size and position. The signature is characterized as pen-strokes consisting x-y coordinates and pressure with the data being stored in a signature database. Dynamic time warping (DTW) and quadratic discriminant analysis (QDA) is used to get results where the system accepts 2% of forged signatures and rejects 5% of true signatures -
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OpenOpt is FREE (GNU GPL v.2) MATLAB/Octave toolbox, powered by user-contributed solvers & ideas. Scaling, updating counters etc is performed by OpenOpt BaseModule. Local & global solvers, easy interface, possibility of graphical output, etc, etc. Enjoy
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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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Optimizer_sovkov
Constructing and optimizing general mathematical and physical models
We present the package Optimizer, aimed at constructing and optimizing general mathematical models of phenomena of versatile nature. It is written in the Matlab algorithmic language and is executed in the Matlab environment with partial functionality in Octave. The convenient visual interface and the detailed manuals are provided. The main benefit of the package is its capability to construct models of any level of complexity in a block-by-block manner. Elementary model blocks can be collected in libraries, and we have already written many such library programs. Many of these programs are already available along with the main package. Currently, the main focus of these is computational quantum mechanics, analysis and simulation of molecular spectra, and general-purpose approximants. The package provides the most reliable modern strategies for linear and non-linear model optimization, regularization, and hypothesis tests. Parallel computing is supported. -
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PRMLT
Matlab code of machine learning algorithms in book PRML
This Matlab package implements machine learning algorithms described in the great textbook: Pattern Recognition and Machine Learning by C. Bishop (PRML). It is written purely in Matlab language. It is self-contained. There is no external dependency. This package requires Matlab R2016b or latter, since it utilizes a new Matlab syntax called Implicit expansion (a.k.a. broadcasting). It also requires Statistics Toolbox (for some simple random number generator) and Image Processing Toolbox (for reading image data). The code is extremely compact. Minimizing code length is a major goal. As a result, the core of the algorithms can be easily spotted. Many tricks for speeding up Matlab code are applied (e.g. vectorization, matrix factorization, etc.). Usually, functions in this package are orders faster than Matlab builtin ones (e.g. kmeans). Many tricks for numerical stability are applied, such as computing probability in logrithm domain, square root matrix update to enforce matrix symmetry. -
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Peroxide
Rust numeric library with high performance and friendly syntax
Rust numeric library contains linear algebra, numerical analysis, statistics and machine learning tools with R, MATLAB, Python-like macros. Peroxide uses a 1D data structure to represent matrices, making it straightforward to integrate with BLAS (Basic Linear Algebra Subprograms). This means that Peroxide can guarantee excellent performance for linear algebraic computations by leveraging the optimized routines provided by BLAS. For users familiar with numerical computing libraries like NumPy, MATLAB, or R, Rust's syntax might seem unfamiliar at first. This can make it more challenging to learn and use Rust libraries that heavily rely on Rust's unique features and syntax. -
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PeterHi is an initiative to provide a set of tools for education based on your existing IT infrastructure.
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PopED (Population Experimental Design) is a software tool for computing optimal experimental designs. The software has been developed with an emphasis on drug trials based on population models (non-linear mixed effects models).
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software educativo de aplicacion de metaheuristicas sobre problemas de grafos, TSP problema del agente viajero, ruta mas corta, arbol de expansion minima, etc.
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An Initiative to help the Engineering & Research Community
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Linux ERT target controls code generation from Simulink for computer based on MPC5200 and Linux. The target contains support for CANopen via Simulink blockset which integrates the CANopen driver to the generated code.
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RefineNet
RefineNet: Multi-Path Refinement Networks
RefineNet is a MATLAB-based framework for semantic image segmentation and general dense prediction tasks. It implements the architecture presented in the CVPR 2017 paper RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation and its extended version published in TPAMI 2019. The framework uses multi-path refinement and improved residual pooling to achieve high-quality segmentation results across multiple benchmark datasets. It provides trained models for datasets such as PASCAL VOC 2012, Cityscapes, NYUDv2, Person_Parts, PASCAL_Context, SUNRGBD, and ADE20k, with versions based on ResNet-101 and ResNet-152 backbones. The repository supports both single-scale and multi-scale prediction, with scripts for training, testing, and evaluating segmentation performance. While this codebase is specific to MATLAB and MatConvNet, a PyTorch implementation and lighter-weight variants are also available from the community. -
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SFD
S³FD: Single Shot Scale-invariant Face Detector, ICCV, 2017
S³FD (Single Shot Scale-invariant Face Detector) is a real-time face detection framework designed to handle faces of various sizes with high accuracy using a single deep neural network. Developed by Shifeng Zhang, S³FD introduces a scale-compensation anchor matching strategy and enhanced detection architecture that makes it especially effective for detecting small faces—a long-standing challenge in face detection research. The project builds upon the SSD framework in Caffe, with modifications tailored for face detection tasks. It includes training scripts, evaluation code, and pre-trained models that achieve strong results on popular benchmarks such as AFW, PASCAL Face, FDDB, and WIDER FACE. The framework is optimized for speed and accuracy, making it suitable for both academic research and practical applications in computer vision. -
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SPE Toolbox
MatLab functions for reading WinView/WinSpec .spe files
This toolbox is a collection of MatLab functions for reading WinView/WinSpec files (.spe extension) directly to MatLab. It provides functions for reading full header from file into a structure, reading frames into matrices, and reading pixel values across all frames. You can use these functions to analyse and process experiment data stored in .spe files in MatLab, and to write functions to export .spe files to animated GIFs for use in presentations. Also includes simple MatLab application for converting files to GIF, AVI and .spe files, and provides functionality for quick addition of support for WinView-like formats by users, without the need to call developers. -
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These classes are useful for signal processing in Matlab or C++. They bring together tools and methods which may be used interchangeably for Matlab and C++. Their initial use is in conjunction with work towards my degree at UC Berkeley.
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Smart Algorithm
Repository implementing a variety of intelligent algorithms
Smart-Algorithm is a repository implementing a variety of intelligent / metaheuristic optimization algorithms (e.g. Genetic Algorithm, Ant Colony, Particle Swarm, Immune Algorithm). The implementations are provided in multiple languages (Java, Python, MATLAB). The repository’s aim is to offer reference implementations of “smart” algorithms for tasks like route planning, optimization, or algorithm learning. Particle Swarm Optimization (PSO) implementations in multiple languages. Immune Algorithm (or immune-inspired optimization) implementations. Multiple versions/language compatibility (Java, Python, MATLAB). -
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Design and develop Recommendation and Adaptive Prediction Engines to address eCommerce opportunities. Build a portfolio of engines by creating and porting algorithms from multiple disciplines to a usable form. Try to solve NetFlix and other challenges.
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Spatio-Kemporal kriging
Spatio-Kemporal forecast
The Spatio-temporal Kriging is a small software for kriging. The main function of this software including: 1. This software have both Chinese and English speech interfaces; 2. Supports three kinds of time data format(day,month and year; 3. Analysis of basic statistics and normal distribution inspection; 4. Spatio-temporal Semi-variance Calculating; 5. Spatio-temporal model curvefitting of both separable and non-separable models; 6. Spatio-temporal interpolation of single time and many times; In this software, it focus on the time dimension, so the format of the time is very very important, so you must select the right time format according to the data format.
