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

Design, analyze, and prototype for Embedded Linux devices

Acquire and analyze data from Analog Devices ADALM1000 devices.

Pretrained GoogLeNet network trained on Places365 data set for image classification

Generate code optimized for Infineon AURIX TC3x Microcontrollers

Pretrained ShuffleNet model for image classification

Pretrained NasNet-Large network model for image classification

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

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

Pretrained Inception-ResNet-v2 network model for image classification

Pretrained EfficientNet-b0 model for image classification

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

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

Pretrained Resnet-101 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

A collection of standard drive cycles and maneuvers

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

Pre-trained SOLOv2 for instance segmentation.