Media Engineering Institute's repositories
comem-archioweb
COMEM+ web-oriented architecture course
comem-archidep
Media engineering architecture & deployment course
smapshot-api
API behind the crowdsourcing platform smapshot
comem-archidep-php-todo-exercise
A collaborative Git exercise based on a todo list written in PHP, HTML & CSS
bytesim-webapp
ByteSim is a web application that simulates the ecological footprint of a website from a mockup of it. 🌱
comem-masrad-dfa
MAS-RAD DFA course
smapshot-widget
3D Widget to display georeferenced image
comem-rest-demo
Demonstration REST API implemented with Express
Eco-conception-test-site
test site to run against our ECO analyser
heig-vd-jrg23
Présentation des activités des instituts de la HEIG-VD en lien avec la géoinformatique à la journée romande de la géoinformation 2023
comem-archidep-gallery
An image gallery......
comem-archioweb-2023-2024-express-api
Basic Express.js example written during the COMEM+ Web-Oriented Architecture course
comem-progweb-lightness
Final Challenge for HEIG Media Engineering ProgWeb course
comem-progweb-todo-api
A small To-do API with user authentication built on Bun, Elysia and Prisma.
comem-travel-log-ionic-setup
COMEM+ Travel Log Ionic application setup
comem-wopr
Play tic-tac-toe against the WOPR
das-public
PLOS Open Science Indicators (public)
heig-vd-ccg24
Présentation des activités de la HEIG-VD en lien avec les SDI dans le cadre du Certificat Complémentaire en Géomatique 2024
ng20-pix2pix-demo
The goal of this project is to demonstrate the faisability of the ml5 pix2pix lib for the NG20 project
revprod-backend
Backend for The Revolutionary Product, a multi-component web application to illustrate CORS and reverse proxying
revprod-landing-page
Landing page for The Revolutionary Product, a multi-component web application to illustrate CORS and reverse proxying
SIC1
Material for the SIC1 course for the joint HES-SO - UNIGE Master's degree "Développement territorial"
smapshot-georeferencer
Smapshot georeferencer python code
ViT-for-multiclass-image-classification
This repository contains a pipeline for the processing of video data to classify individual frames according to custom labels. It contains various utilities in the form of Jupyter Notebooks for the convenient processing of data, the training of a Vision Transformer (ViT) model, and the inference of additional data.