Pretrained DarkNet-19 network model for image classification

Pretrained NasNet-Mobile network model for image classification

Pretrained NasNet-Large network model for image classification

Pretrained DarkNet-53 network model for image classification

Pretrained EfficientNet-b0 model for image classification

Pretrained GoogLeNet network trained on Places365 data set for image classification

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

Control Parrot drones from MATLAB and acquire sensor data

Land cover basemap data for geographic visualization

Build, Simulate, and Run Quantum Algorithms

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

Generate testbenches for ASIC and advanced FPGA designs

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

Import, visualize, process, analyze and export hyperspectral data

Add analytics to your Kafka streaming pipeline with MATLAB Production Server, and interact with Kafka streams using the MATLAB desktop.

Generate code for the FPGA portion of RFSoC devices

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

Import OpenCV functions into Simulink.

A collection of standard drive cycles (vehicle speed vs. time)