Pretrained Inception-ResNet-v2 network model for image classification

Control Ryze Tello drones from MATLAB and acquire sensor and image data

Incorporate pre-trained TensorFlow Lite (TFLite) models into MATLAB and Simulink applications for simulation and deployment to hardware.

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

Build, Simulate, and Run Quantum Algorithms

Import, visualize, process, analyze and export hyperspectral data

Pretrained MobileNet-v2 model for image classification

Control instruments using Rohde & Schwarz VISA (R&SVISA)

Generate code optimized for Infineon AURIX TC3x Microcontrollers

Pretrained NasNet-Large network model for image classification

The HDR Toolbox is a toolbox for processing High Dynamic Range (HDR) content.

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

Generate testbenches for ASIC and advanced FPGA designs

Build simulation scenarios from real-world vehicle data recorded from GPS, IMU, camera, and lidar sensors

Pretrained SlowFast model for Video Classification

The "Model Risk Manager for MATLAB" add-on is designed to help users manage, assess, and mitigate risks associated with financial models

Gray terrain basemap data for geographic visualization

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

Import OpenCV functions into Simulink.