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

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

Acquire video and images from Teledyne DALSA Sapera cameras.

Pretrained BERT-Base Network for MATLAB

Pretrained SlowFast model for Video Classification

Control NI-FGEN devices and create arbitrary waveforms.

A collection of standard drive cycles and maneuvers

Pretrained Inception-ResNet-v2 network model for image classification

Pretrained EfficientNet-b0 model for image classification

Pretrained DarkNet-53 network model for image classification

Pretrained Xception model for image classification

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

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

Technique for Order Preference by Similarity to Ideal Solution for metaheuristics.

Pretrained Inception-ResNet-v2 network model for image classification

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

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

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

Build, Simulate, and Run Quantum Algorithms