awesome-matlab

URL: https://github.com/uhub/awesome-matlab
Category: Themed Directories
Brand: uhub

Overview

awesome-matlab is a curated GitHub directory that lists notable MATLAB and Octave frameworks, libraries, toolboxes, and software packages. It focuses on numerical computing and related domains such as machine learning, optimization, visualization, modeling, and robotics.

Features

• Curated collection of MATLAB resources

  • Collects links to high‑quality MATLAB and Octave frameworks, libraries, toolboxes, and complete software projects.
  • Focuses on numerical computing and scientific/engineering applications.

• Coverage of machine learning and AI

  • Links to implementations of machine learning algorithms from the Pattern Recognition and Machine Learning (PRML) book (e.g., PRML/PRMLT).
  • Includes deep learning toolboxes for MATLAB/Octave, such as DeepLearnToolbox with:
    • Deep Belief Networks
    • Stacked Autoencoders
    • Convolutional Neural Networks
    • Convolutional Autoencoders
    • Standard feedforward neural networks
  • Provides example code for each deep learning method to help users get started.

• Mathematical and competition modeling resources

  • Links to comprehensive repositories for mathematical modeling competitions (e.g., MCM/ICM, national college modeling contests).
  • Includes:
    • MATLAB implementations of common mathematical modeling algorithms.
    • Collections of intelligent and optimization algorithms.
    • Algorithm summaries and references used in modeling contexts.
    • LaTeX templates and documents for various competitions and cups (e.g., 国赛、美赛及多种杯赛).
  • Provides example homework and course-related repositories for machine learning in MATLAB.

• Optimization and evolutionary computation

  • Includes platforms like PlatEMO, an evolutionary multi-objective optimization environment in MATLAB.
  • Supports experimentation and research on multi-objective optimization algorithms.

• Modeling, simulation, and project ideas

  • References the MATLAB-Simulink-Challenge-Project-Hub from MathWorks, listing research and design project ideas.
  • Helps users explore practical applications, technology trends, and industry-relevant topics using MATLAB and Simulink.

• Visualization and figure export tools

  • matlab2tikz: converts MATLAB/Octave figures to TikZ/pgfplots for integration into LaTeX documents.
  • export_fig: toolbox for exporting high-quality, publication-ready figures from MATLAB.

• Robotics and control

  • Links to robotics-toolbox-matlab, a Robotics Toolbox providing algorithms and utilities for robot modeling, kinematics, dynamics, and simulation in MATLAB.

• Scientific and engineering focus

  • Emphasis on math, scientific computing, and engineering workflows.
  • Tags include: math, scientific-computing, awesome-lists to signal its thematic scope.

• Open-source GitHub list

  • Hosted as a public GitHub repository, allowing community contributions via pull requests.
  • Provides simple access to source projects through direct GitHub links.

Pricing

• Not applicable. This is an open, free curated list of external MATLAB/Octave resources on GitHub.