Enables MATLAB Drive on your computer and provides an integrated experience in MATLAB

Install the MinGW-w64 C/C++ compiler for Windows

Try new Beta features including dark theme, updated layout, expanded search capabilities, and more.

Pretrained AlexNet network model for image classification

Build, Simulate, and Run Quantum Algorithms

Import, export, process, and visualize hyperspectral data

Pretrained GoogLeNet network model for image classification

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

Pretrained Resnet-50 network model for image classification

Pretrained VGG-16 network model for image classification

Import and export ONNX™ models within MATLAB for interoperability with other deep learning frameworks

Use the GUIDE to App Designer Migration tool to help transition your GUIDE apps to App Designer.

Neural Network Toolbox Model for ResNet-18 Network

Model, simulate, and analyze wireless communications networks

Import and export TensorFlow models within MATLAB

Pretrained VGG-19 network model for image classification

Import pretrained PyTorch models into MATLAB

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

Pretrained Resnet-101 network model for image classification

Pretrained Xception model for image classification

Detect objects using a pretrained YOLO v4 object detection network trained on COCO dataset.

Pretrained MobileNet-v2 model for image classification

Create standalone Functional Mock-up Units (FMUs) from Simulink models and C/C++ source code

Use MATLAB Coder to generate C and C++ code for deep learning networks

Simulate and verify agile RF transceivers and predict impact of RF imperfections using test signals

Pretrained Inception-v3 network model for image classification

View and Explore a 3D Volumetric Chest Scan

Pretrained EfficientNet-b0 model for image classification

Pretrained ShuffleNet model for image classification

Use OpenCV algorithms in MATLAB

Ephemeris Data for Aerospace Toolbox

Pretrained Inception-ResNet-v2 network model for image classification

Quantize and Compress Deep Learning models

Pretrained DenseNet-201 network model for image classification

Robot model library to visualize and simulate robots with MATLAB and Simulink

Pretrained DarkNet-53 network 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.

Communicate with instruments that use IVI or VXIplug&play drivers

Use Visual Studio Code to view and debug C and C++ code, in combination with supported MATLAB and Simulink workflows.

Pretrained DarkNet-19 network model for image classification

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

Simplify adoption and optimize Continuous Integration/Continuous Delivery (CI/CD) workflows for Simulink

Pretrained SqueezeNet model for image classification

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

Pretrained NasNet-Large network model for image classification

Geoid Data for Aerospace Toolbox

Pretrained NasNet-Mobile network model for image classification

Identify anomalies or defects in images to assist and improve quality assurance processes.

Generate and decode frames and waveforms of ZigBee and UWB

This support package allows you to customize scenes in the Unreal^® Editor and use them in Simulink^®.

Pretrained YOLO v3 model for object detection.

Simulate additional mixed-signal systems with Simulink and Mixed-Signal Blockset

Visualize and Analyze Deep Learning Networks

Model and simulate spatially-defined channels for multi-user MIMO wireless systems

Pretrained GoogLeNet network trained on Places365 data set for image classification

Simulink integration for Unreal Engine 4

Pretrained Mask-RCNN for instance segmentation and object detection.

Use Cellpose library in MATLAB

Generate C code for single and multicore devices on bare metal, RTOS, and middleware services