Discover pretrained models for deep learning in MATLAB

Deep Learning Transformer models in MATLAB

MATLAB example on how to use Reinforcement Learning for developing a financial trading model

This demo shows how to prepare, model, and deploy a deep learning LSTM based classification algorithm to identify the condition or output of a mechanical air compressor.

This example shows how to build and train a convolutional neural network (CNN) from scratch to perform a classification task with an EEG dataset.

Develop agent-based traffic management system by model-free reinforcement learning

Extract features and detect anomalies in industrial machinery vibration data using a biLSTM autoencoder

This demo uses a deep neural network and two generic cameras to perform 3D pose estimation.

Train a reinforcement learning agent to play a variation of Pong®

YOLO v8 training and inference in MATLAB for Object Detection with yolov8n, yolov8s, yolov8m, yolov8l, yolov8x, networks

MATLAB example using deep learning to classify chronological age from brain MRI images

This repository provides an app for exploring the predictions of an image classification network using several deep learning visualization techniques. Using the app, you can: explore network predictions with occlusion sensitivity, Grad-CAM, and gradient attribution methods, investigate misclassifications using confusion and t-SNE plots, visualiz…

Image to Image Translation Using Generative Adversarial Networks

The entire workflow of developing deep learning model for detecting face mask.

Mask-RCNN training and prediction in MATLAB for Instance Segmentation

Repo for ResNet-50

MATLAB example of deep learning based human pose estimation.

YOLOX inference in MATLAB for Object Detection with yolox_s, yolox_m & yolox_l networks

🌍 Welcome to the Earthquake Prediction Analysis Project! 🚀 This project aims to predict earthquake magnitudes using LSTM neural networks and analyze seismic data. Explore, analyze, and forecast earthquakes with ease! 📈🔮

DeepLabv3+ inference and training in MATLAB for Semantic Segmentation