Pre-trained Segment Anything Model for instance segmentation

Pretrained Xception model for image classification

Pretrained Inception-ResNet-v2 network model for image classification

Debug and test HDL code on Intel FPGAs and SoC FPGAs

Pretrained GoogLeNet network trained on Places365 data set for image classification

A collection of standard drive cycles and maneuvers

Generate code optimized for Infineon AURIX TC4x Microcontrollers

Pretrained DarkNet-19 network model for image classification

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

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

Pretrained NasNet-Mobile network model for image classification

Pretrained DarkNet-53 network model for image classification

Customize scenes in Unreal® Editor for co-simulation with Simulink®.

Design, analyze, and prototype for Embedded Linux devices

Acquire video and images from Teledyne DALSA Sapera cameras.

Pretrained BERT-Base Network for MATLAB

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

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

Generate testbenches for ASIC and advanced FPGA designs

Create driving scenarios using imported road data from Zenrin Japan Map API 3.0 (Itsumo NAVI API 3.0).