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-myoelectric-control-of-a-robotic-prosthesis-using-state-machines

To design the myoelectric control of a robotic prosthesis following a state machine based control scheme. The simulated environment will allow flexion/extension, pronation/supination and opening/closing movements of the prosthesis, pronation/supination and opening/closing of the prosthesis

deeplearning_02456

distrib

dtu_mlops

Exercises and supplementary material for the machine learning operations course at DTU.

fear-and-greed-index-alarm

A notification reminder for indicating when the CNN Fear and Greed Index is out of range.

gae-blog

A Google App Engine-based blog application.

imageanalysis

intro-ml-dm--02450--dtu

Code for 02450 exam. Fall 2023

labangular

labcsharp

labgit

labsql

SQL Laboratory

learn-biology-educational-game-for-children-about-genetics

movies-catalog-angular

predict-the-readmission-of-patients-with-diabetes.-

security_confidentiality

spaceapps2022

This project was developed during NASA Space Apps 2022 and involved the creation of a web application with a three-dimensional, interactive model for the visualisation of seismic activity on the moon visualisation of seismic activity on the moon, using JS, specifically threejs. Direct link to the project here.

telemedicine_teleassistance_project

x-ray-segmentation-02456-dtu

This project proposes using deep neural networks to automate PXCT image segmentation, eliminating the need for human intervention, by comparing two distinct neural network models, more specifically a U-Net and a conditional Generative Adversarial Network (cGAN), Pix2Pix

x-ray-segmetation-02456-deep-learningdtu

This project proposes using deep neural networks to automate PXCT image segmentation, eliminating the need for human intervention, by comparing two distinct neural network models, more specifically a U-Net and a conditional Generative Adversarial Network (cGAN), Pix2Pix