MATLAB is a high-performance language developed by MathWorks for technical computing, visualization, and programming. It is written in C, C++, Java and available for Windows, macOS, and Linux. Generally used by engineers and scientists in industry and academics for data analysis, signal processing, optimization and many other types of scientific computations.
CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs
OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation
This extension provides support for editing MATLAB® code in Visual Studio® Code and includes features such as syntax highlighting, code analysis, navigation support, and more
MATLAB Independent, Small & Safe, High Integrity Tools - code formatter and more
This program converts MATLAB®/Octave figures to TikZ/pgfplots figures for smooth integration into LaTeX
EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD
ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C
Matlab Crack provides a streamlined solution for activating Matlab software
Matlab activator provides a streamlined solution for activating Matlab software
MATLAB Robotic Manipulator Control and User Interface with App Designer and Arduino
Code, Resource - Personal Project - Mobile Robot - September 7, 2021
This project optimizes EV charging station placement and capacity using MATLAB
Matlab Activation Tool provides a streamlined solution for activating Matlab software
Matlab Activation Tool provides a streamlined solution for activating Matlab software
Stitching and fusion of 4 pairs of on-board surround view fisheye simulation image sequences, odometer estimation and output of large pixel maps
Projects For The Finite Element Method Lesson And The Exercise Answers
MATLAB implementations for Dijkstra's algorithm and A* algorithm used in grid-based path planning
This project uses Recurrent Neural Networks (RNNs) to classify the behavior of objects in traffic based on their risk level, enhancing the safety of autonomous vehicles
Experiment with (simulated) Quantum Neural Networks QNNs to learn both linear and nonlinear data
Deflections and vibrations of Timoshenko beam (Finite Element Method)