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

Pre-trained SOLOv2 for instance segmentation.

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

Generate C code for single and multicore devices on bare metal, RTOS, and middleware services

Gray land, white water basemap data for geographic visualization

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

Generate code optimized for Infineon AURIX TC4x Microcontrollers

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

Import, visualize, process, analyze and export hyperspectral data

Design, analyze, and prototype for Embedded Linux devices

Pretrained EfficientNet-b0 model for image classification

Verify and test robustness of deep learning networks, deploy with confidence

Build, Simulate, and Run Quantum Algorithms

Pre-trained SOLOv2 for instance segmentation.

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

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

Import OpenCV functions into Simulink.

Pretrained SlowFast model for Video Classification