Our open source projects

Deep Learning for Earth Observation

Land Use and Land Cover Classification using a ResNet Deep Learning Architecture (link)

Digital Image Processing

Jupyter notebooks about digital image processing using Python (link)

Covid-19 Data Visualizations

Data visualization of the covid-19 pandemic using the data collected by the Johns Hopkins Center for Systems Science and Engineering (CSSE) (link)

Copernicus Services

Processing and visualization of the Copernicus Services for climate change, air quality and atmosphere monitoring (link)

Algorithms and Data Structures

Fundamental algorithms and data structures in Java (link)

Statistical Learning

A collection of Jupyter notebooks in R from the course Statistical Learning taught by Prof. Trevor Hastie and Prof. Robert Tibshirani (link)


Jupiter notebooks in Python about number theory, the Diffie-Hellman protocol and the RSA public-key encryption system (link)

Big Data Europe - Empowering Communities with Data Technologies

Microservices application deployed on a cluster of EC2 servers for the monitoring of urban traffic. This project has received funding from the European Union’s Horizon 2020 research and innovation programme. (link)

Recommender Systems

A collaborative filtering recommender system based on Apache Mahout (link)

Fusepool Linked Data Platform

A platform for data integration based on Semantic Web technologies. This project has received funding from the European Union’s FP7 research and innovation programme. (link)