matlab-deep-learning

Discover pretrained models for deep learning in MATLAB

Deep Learning Transformer models in MATLAB

Connect MATLAB to LLM APIs, including OpenAI® Chat Completions, Azure® OpenAI Services, and Ollama™

This repository collates a number of MATLAB examples demonstrating Scientific Machine Learning (SciML) and Physics Informed Machine Learning.

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.

Constrained deep learning is an advanced approach to training deep neural networks by incorporating domain-specific constraints into the learning process.

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

Deep Learning in Quantitative Finance: Transformer Networks for Time Series Prediction

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

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

Object detection and transfer learning using pretrained YOLO v4 models in MATLAB.

This example shows how to call a TensorFlow model from MATLAB using co-execution with Python.

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

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