File Exchange
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
Pretrained Resnet-50 network model for image classification
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 VGG-16 network model for image classification
Build, Simulate, and Run Quantum Algorithms
Use the GUIDE to App Designer Migration tool to help transition your GUIDE apps to App Designer.
Model, simulate, and analyze wireless communications networks
Neural Network Toolbox Model for ResNet-18 Network
Import and export TensorFlow models within MATLAB
Import and export ONNX™ models within MATLAB for interoperability with other deep learning frameworks
Pretrained VGG-19 network model for image classification
Use OpenCV algorithms in MATLAB
Pretrained MobileNet-v2 model for image classification
Quantize and Compress Deep Learning models
Interface for Deep Learning Libraries from MATLAB Coder
Pretrained Resnet-101 network model for image classification
Detect objects using a pretrained YOLO v4 object detection network trained on COCO dataset.
Pretrained Inception-v3 network model for image classification
Pretrained DenseNet-201 network model for image classification
Simulate and verify agile RF transceivers and predict impact of RF imperfections using test signals
Generate and decode frames and waveforms of ZigBee and UWB
Simulink integration for Unreal Engine 4
Import pretrained PyTorch models into MATLAB
Pretrained YOLO v3 model for object detection.
Interface for Deep Learning Libraries from GPU Coder
A collection of standard drive cycles (vehicle speed vs. time)
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.
Communicate with instruments that use IVI or VXIplug&play drivers
Pretrained EfficientNet-b0 model for image classification
Robot model library to visualize and simulate robots with MATLAB and Simulink
Pretrained ShuffleNet model for image classification
Pretrained Xception model for image classification
Pretrained NasNet-Mobile network model for image classification
This support package allows you to customize scenes in the Unreal® Editor and use them in Simulink®.
Simulate additional mixed-signal systems with Simulink and Mixed-Signal Blockset
Pretrained SqueezeNet model for image classification
Pretrained DarkNet-53 network model for image classification
Pretrained NasNet-Large network model for image classification
Pretrained DarkNet-19 network model for image classification
Model, simulate, analyze, and visualize CubeSats using Aerospace Blockset
Verify and test robustness of deep learning networks
Ephemeris Data for Aerospace Toolbox
Model and simulate spatially-defined channels for multi-user MIMO wireless systems
Pretrained Inception-ResNet-v2 network model for image classification
Visualize and Analyze Deep Learning Networks
Manage, configure and analyze variants in your system with Variant Manager for Simulink package.
Generate C code for single and multicore devices on bare metal, RTOS, and middleware services
Simulate 3GPP 5G radio technologies
Pretrained GoogLeNet network trained on Places365 data set for image classification
Customize scenes in Unreal® Editor for co-simulation of autonomous flight algorithms in Simulink®
Algorithms to simulate Unmanned Aerial Vehicles (UAVs) and connect to hardware
Geoid Data for Aerospace Toolbox
Incorporate pre-trained TensorFlow Lite (TFLite) models into MATLAB and Simulink applications for simulation and deployment to hardware.
Simplify adoption and optimize Continuous Integration/Continuous Delivery (CI/CD) workflows for Simulink
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