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accelerometerapp-epe

Aplicación de Android para la lectura del acelerómetro del dispositivo.

analyzingarchitecturedesign

anomalydetection

attention-gated-networks

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

augmentor

Image augmentation library in Python for machine learning.

autoencoder

bayesian-compression-for-deep-learning

Remplementation of paper https://arxiv.org/abs/1705.08665

cameralaboratory

Project to test camera calibration, 3D reconstruction...

cameratestproject

Proyecto temporal para probar la libreria ThermalCameraLib

cfp

clustering

colormap-shaders

A collection of shaders to draw color maps.

cudasimpleconcurrency

deepgaze

Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.

deeplearningintroduction

A gentle introduction using Pytorch (Work in Progress)

dfuattention

dfufeaturerankingbyvariationaldropout

diabeticfootextension

...

dicomtoimage

A simple script in order to generate a image from a dicom data

dockervscodeenvironment

Testing

feetsegmentation

feetsegmentationenvironment

focal-liver-lesions-dataset-in-ceus

We publish our SYSU-CEUS dataset, which consists of three types of FLLs: 186 HCC instances, 109 HEM instances and 58 FNH instances (i.e.,186 malignant instances and 167 benign instances). In this repository, we only upload a small set of data to illustrate. Please contact [email protected], if you need the full dataset for academic purposes.

forcepsdeliveryvr

3D Slicer module based on SlicerVR to train forceps delivery

gans

Testing GAN

getting-started-with-git-and-github

Explaining Git and GitHub.

idnet_release

Codes related to the paper "Learning Interpretable Deep Disentangled Neural Networks for Hyperspectral Unmixing", IEEE TCI, 2023.

ipdl

iumaforest

medchipsregis

Medical multiChannel Images Point Set Registration: This project focuses on applying a point set registration in 2D multichannel images for medical purpose