Pretrained EfficientNet-b0 model for image classification

Pretrained DarkNet-19 network model for image classification

Pretrained MobileNet-v2 model for image classification

Import OpenCV functions into Simulink.

Control Parrot drones from MATLAB and acquire sensor data

Pretrained ShuffleNet model for image classification

Pretrained NasNet-Large network model for image classification

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

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

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

Acquire and analyze data from Analog Devices ADALM1000 devices.

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

Automatically program the VEX EDR V5 Robot Brain using Simulink

Design, analyze, and prototype for Intel SoC and FPGA devices

JOS in optimization : A well-match joint of Selective Leading Opposition (SLO) and Dynamic Opposite (DO) for optimization.

This package implements the Gradient Vector Flow (GVF) in C++/MEX.