BIDSAlign a library for preprocessing and align multiple datasets to a common template.

Official Torch7 implementation of "V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map", CVPR 2018

Earth observation software powered by Machine Learning (ML). Viewable in Google Maps and WebGL Earth.

BRAPH 2.0 is a comprehensive software package for the analysis and visualization of brain connectivity data, offering flexible customization, rich visualization capabilities, and a platform for collaboration in neuroscience research.

MRI reconstruction (e.g., QSM) using deep learning methods

A project for aircraft image feature extraction and classification using the VGG16 model. It includes 20 different military aircraft classes.

Sanity checks for comparing gradient attribution maps

VGAResNet: A Unified Visibility Graph Adjacency Matrix-Based Residual Network for Chronic Obstructive Pulmonary Disease Detection Using Lung Sounds

This repository contains a reading list of papers on Time Series Segmentation. This repository is still being continuously improved.

This MATLAB and Simulink Challenge Project Hub contains a list of research and design project ideas. These projects will help you gain practical experience and insight into technology trends and industry directions.

This project will try to segment forest images taken by a drone, classifying each pixel by either forest or fire (segmentation technique)

[ACMMM2023] "Enhancing Visibility in Nighttime Haze Images Using Guided APSF and Gradient Adaptive Convolution", https://arxiv.org/abs/2308.01738

This MATLAB project fine tunes a pretrained deep learning model (RCNN) to detect stop signs in images

Discover pretrained models for deep learning in MATLAB

Performance and quality evaluation of DCNN based image denoising algorithms

DeepSqueak v3: Using Machine Vision to Accelerate Bioacoustics Research

simple but efficient kernel regression and anomaly detection algorithms

Pretrained networks for Deep-Learning-Based Covariant Hamiltonian Optimization for Motion Planning (DLCHOMP) of robotic manipulators for MATLAB®

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

An analytical cost model evaluating DNN mappings (dataflows and tiling).