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

Import, export, process, and visualize hyperspectral data

Pretrained GoogLeNet network model for image classification

Pretrained ResNet-50 network model for image classification

Build, Simulate, and Run Quantum Algorithms

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

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

Pretrained VGG-16 network model for image classification

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

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

Model, simulate, and analyze wireless communications networks

Verify and test robustness of deep learning networks

Import and export TensorFlow models within MATLAB

Pretrained VGG-19 network model for image classification

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

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

Pretrained MobileNet-v2 model for image classification

Use OpenCV algorithms in MATLAB

Import pretrained PyTorch models into MATLAB

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

Quantize and compress deep learning models

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

Communicate with instruments that use IVI or VXIplug&play drivers

Pretrained EfficientNet-b0 model for image classification

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

Pretrained Resnet-101 network model for image classification

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

Pretrained Inception-v3 network model for image classification

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

Pretrained Inception-ResNet-v2 network model for image classification

Pretrained Xception model for image classification

Pretrained DenseNet-201 network model for image classification

View and Explore a 3D Volumetric Chest Scan

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

Pretrained ShuffleNet model for image classification

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

Ephemeris Data for Aerospace Toolbox

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

Customize automotive scenes in Unreal^® Editor for co-simulation in Simulink^®

Customize automotive scenes in Unreal^® Editor for co-simulation in Simulink^®

Pretrained SqueezeNet model for image classification

Pretrained DarkNet-19 network model for image classification

Pretrained DarkNet-53 network model for image classification

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

Pretrained NasNet-Large network model for image classification

Pretrained NasNet-Mobile network model for image classification

Pre-trained Segment Anything Model for instance segmentation

Pretrained GoogLeNet network trained on Places365 data set for image classification

Add-on for Embedded Coder Support Package for ARM Cortex-A/ Cortex-M Processors

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

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

Pretrained YOLO v3 model for object detection.

Use custom ROS message and service types in MATLAB and Simulink.

Visualize and Analyze Deep Learning Networks

Pretrained BERT-Base Network for MATLAB

Algorithms to simulate Unmanned Aerial Vehicles (UAVs) and connect to hardware