Pretrained SlowFast model for Video Classification

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

Import OpenCV functions into Simulink.

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

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

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.