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

A collection of standard drive cycles and maneuvers

Import, plot and fit tire data for use with Vehicle Dynamics Blockset and Simscape tire models

Control NI-FGEN devices and create arbitrary waveforms.

Pretrained MobileNet-v2 model for image classification

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

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

Pretrained ShuffleNet model for image classification

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

Pretrained DarkNet-53 network model for image classification

Import, visualize, process, analyze and export hyperspectral data

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

Pretrained BERT-Base Network for MATLAB

Pre-trained Segment Anything Model for instance segmentation

Use NI-845x I2C/SPI devices to connect to your chips, circuit boards, sensors.

Pre-trained SOLOv2 for instance segmentation.

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

Gray land, white water basemap data for geographic visualization

Generate code optimized for Infineon AURIX TC4x Microcontrollers

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