A collection of standard drive cycles and maneuvers

This support package enables you to deploy a deep learning processor on Intel® FPGA and SoC based hardware from MATLAB

Pretrained SlowFast model for Video Classification

Pretrained ShuffleNet model for image classification

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

Pretrained ShuffleNet model for image classification

Implementation of several variants of the vision transformer (ViT) model.

Pretrained Xception model for image classification

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

Gray terrain basemap data for geographic visualization

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

A collection of standard drive cycles and maneuvers

Pre-trained Segment Anything Model for instance segmentation

Gray land, white water basemap data for geographic visualization

Pre-trained SOLOv2 for instance segmentation.

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

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

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

Generate testbenches for ASIC and advanced FPGA designs

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