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 GoogLeNet network model for image classification
Build, Simulate, and Run Quantum Algorithms
Import, export, process, and visualize hyperspectral data
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.
Pretrained VGG-19 network model for image classification
Neural Network Toolbox Model for ResNet-18 Network
Import and export TensorFlow models within MATLAB
Model, simulate, and analyze wireless communications 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 MobileNet-v2 model for image classification
Import pretrained PyTorch models into MATLAB
Use MATLAB Coder to generate C and C++ code for deep learning networks
Pretrained DenseNet-201 network model for image classification
Pretrained Resnet-101 network model for image classification
Robot model library to visualize and simulate robots with MATLAB and Simulink
Detect objects using a pretrained YOLO v4 object detection network trained on COCO dataset.
Implementation of several variants of the vision transformer (ViT) model.
Quantize and Compress Deep Learning models
Pretrained Inception-ResNet-v2 network model for image classification
Pretrained EfficientNet-b0 model for image classification
A collection of standard drive cycles (vehicle speed vs. time)
Use GPU Coder to generate optimized CUDA code for deep learning networks
Create standalone Functional Mock-up Units (FMUs) from Simulink models and C/C++ source code
Pretrained Xception model for image classification
Ephemeris Data for Aerospace Toolbox
Pretrained DarkNet-53 network model for image classification
This support package allows you to customize scenes in the Unreal® Editor and use them in Simulink®.
Use OpenCV algorithms in MATLAB
Simplify adoption and optimize Continuous Integration/Continuous Delivery (CI/CD) workflows for Simulink
Pretrained SqueezeNet model for image classification
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
Pretrained DarkNet-19 network model for image classification
Communicate with instruments that use IVI or VXIplug&play drivers
Identify anomalies or defects in images to assist and improve quality assurance processes.
Simulate additional mixed-signal systems with Simulink and Mixed-Signal Blockset
Manage, configure and analyze variants in your system with Variant Manager for Simulink package.
Model, simulate, analyze, and visualize CubeSats using Aerospace Blockset
Pretrained NasNet-Mobile network model for image classification
Pretrained NasNet-Large network model for image classification
Pretrained GoogLeNet network trained on Places365 data set for image classification
Pretrained YOLO v3 model for object detection.
Geoid Data for Aerospace Toolbox
Generate and decode frames and waveforms of ZigBee and UWB
Verify and test robustness of deep learning networks
Build simulation scenarios from real-world vehicle data recorded from GPS, IMU, camera, and lidar sensors
Simulate 3GPP 5G radio technologies
Model and simulate spatially-defined channels for multi-user MIMO wireless systems
Incorporate pre-trained TensorFlow Lite (TFLite) models into MATLAB and Simulink applications for simulation and deployment to hardware.
Visualize and Analyze Deep Learning Networks
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