There are currently 56 open-source projects built with MATLAB, with a combined total of 139.2k GitHub stars. The most common language among these projects is MATLAB.
Showing 56 open-source projects · page 1 of 2
Open Source Computer Vision Library providing real-time image processing and AI capabilities.
Matlab implementation of machine learning algorithms from Bishop's Pattern Recognition and Machine Learning textbook.
A MATLAB/Octave toolbox for deep learning with implementations of neural networks, deep belief nets, autoencoders, and convolutional networks.
A free, state-of-the-art library and toolkit for named entity extraction and binary relation detection from text.
A pioneering object detection system that combines region proposals with convolutional neural network features, significantly advancing detection accuracy.
A symbolic framework for numeric optimization with automatic differentiation and code generation capabilities.
An open-source, multi-platform flight dynamics model (FDM) library for aircraft and rocket simulation, written in C++.
A deep learning-based edge detection algorithm using holistically-nested fully convolutional neural networks.
A Model Predictive Contouring Controller (MPCC) for autonomous racing, enabling high-speed path following and obstacle avoidance.
An end-to-end 3D object detection network that uses deep point set networks and Hough voting to directly detect objects in point clouds.
Implementations of memory-augmented neural networks for language modeling, dialogue systems, and question answering tasks.
Converts MATLAB/Octave figures to TikZ/pgfplots figures for seamless integration into LaTeX documents.
A ROS package for analyzing IMU performance using Allan variance on stationary data.
An open-source C library with MATLAB interfaces implementing popular computer vision algorithms for image understanding and local feature extraction.
A multi-language library providing implementations of common supervised machine learning evaluation metrics.
A fast Support Vector Machine (SVM) library that leverages GPUs and multi-core CPUs for high-performance machine learning.
A MATLAB toolbox implementing Convolutional Neural Networks (CNNs) for computer vision applications.
Open-source flight simulator, autopilot controller, and monitoring tools for the Makani airborne wind turbine project.
A MATLAB toolbox for advanced analysis of MEG, EEG, and iEEG data, developed at the Donders Institute.
MatLab/Octave implementations of popular machine learning algorithms with detailed mathematical explanations and code examples.
Monocular 3D object detection and SLAM system that detects and tracks cuboids to estimate camera and object poses.
An airborne LiDAR point cloud ground filtering method based on cloth simulation for bare earth extraction.
A ROS-based tool for manually calibrating extrinsic parameters between Livox LiDAR sensors and cameras using board corners.
A convolutional network-based image classifier and feature extractor trained on ImageNet, providing dense feature extraction capabilities.
A C++ toolkit with MATLAB interface for automatic control and dynamic optimization, including model predictive control and parameter estimation.
A deep learning framework for detecting and localizing upper-body, lower-body, and full-body clothes in fashion images.
A Python implementation for fully automatic extrinsic calibration of 3D LiDAR and cameras using laser reflectance intensity.
A benchmark dataset and toolkit for RF-based drone detection and identification using raw IQ data and deep learning models.
A MATLAB/Octave toolbox for processing High Dynamic Range (HDR) images, including tone mapping and expansion operators.
A highly optimized C++ library for fast continuous wavelet transform calculations in C++, Python, and MATLAB.
A re-implementation of the SPP-net object detection algorithm using spatial pyramid pooling in deep convolutional networks for visual recognition.
Python implementation of the Short-Time Objective Intelligibility (STOI) measure for speech quality assessment.
A simple, multi-language implementation of the Iterative Closest Point algorithm for 3D point cloud registration.
A parallel Monte Carlo and machine learning library for scientific inference, available in Python, MATLAB, Fortran, C++, and C.
A C++ toolbox providing multiple locality-sensitive hashing algorithms for large-scale approximate nearest neighbor search, with Python and MATLAB bindings.
A massively parallel library for training self-organizing maps on multicore CPUs, GPUs, and clusters with support for dense and sparse data.
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