Pretrained DarkNet-19 network model for image classification

Control Parrot drones from MATLAB and acquire sensor data

Use GPU Coder to generate optimized CUDA code for deep learning networks

Pretrained ShuffleNet model for image classification

Tools to compile a real-time application that runs on a Speedgoat target computer

Pretrained DarkNet-53 network model for image classification

Tools to compile a real-time application that runs on a Speedgoat target computer

Manage, configure and analyze variants in your system with Variant Manager for Simulink package.

Acquire and analyze data from Analog Devices ADALM1000 devices.

Import, visualize, process, analyze and export hyperspectral data

Build, Simulate, and Run Quantum Algorithms

Automatically program the VEX EDR V5 Robot Brain using Simulink

Control Parrot drones from MATLAB and acquire sensor data

Acquire video and images from Teledyne DALSA Sapera cameras.

Use NI-845x I2C/SPI devices to connect to your chips, circuit boards, sensors.

Debug and test HDL code on Microchip FPGAs using FPGA-in-the-loop

Generate code optimized for Infineon AURIX TC4x Microcontrollers

Connect to Velodyne LiDAR sensors and stream point clouds directly into MATLAB for processing and visualization

MATLAB Client for MATLAB Production Server™ lets you access your MATLAB® Production Server-hosted functions via MATLAB Add-Ons

CME 292 (Advanced MATLAB for Scientific Computing), offered by Institute for Computational & Mathematical Engineering, Stanford University