Nuno Costa's repositories
pinn-multivp
π¨ This repository contains the source code and additional resources for the paper "Leveraging Physics-Informed Neural Networks as Solar Wind Forecasting Models". The paper discusses the challenges of solar wind forecasting and the application of Physics-Informed Neural Networks (PiNNs) to improve prediction accuracy and computational efficiency.
polimi-naml
Numerical Analysis for Machine Learning
feup-gulbenkian-qc-mt
β‘ Developed Code for the New Talents in Quantum Technologies Program of the Gulbenkian Foundation / Capstone Project @FEUP
cs-ai-summer-school-challenge
π€ CentraleSupelec Summer School on AI 2022 - Classify an email into eight classes based on the metadata extracted from the emails.
feup-edaa-dcel
Implementation of the Doubly Connected Edge List (DCEL) Data Structure and application on the Map Overlay Problem
feup-iart-proj1
π€ Proposed project solution for the Artificial Intelligence course @ FEUP
pi-multivp
π¨ This repository consolidates the source code and experimental results for two innovative approaches developed as part of a master thesis on solar wind forecasting: Physics-Informed Neural Networks (PiNN) and Physics-Informed Neural Operators (PiNO).
pignn-multivp
π¨ This repository contains the experiments with Physics-Informed Graph Neural Networks (PiGNNs) for Solar Wind Modelling to improve prediction accuracy and computational efficiency.
pino-multivp
π¨ This repository contains the source code and resources for the approach "Leveraging Physics-Informed Neural Operators as Solar Wind Forecasting Models". The paper discusses the challenges of solar wind forecasting and the application of Physics-Informed Neural Operators (PiNOs) to improve prediction accuracy and computational efficiency.
cavyn-generative-music
π΅ An adaptation of Cavyn, an open-source 2D Platformer, with the integration of generative realtime music
polimi-an2dl-challenges
πΏπ Repository for Deep Learning Challenges from Politecnico di Milano, featuring projects on Leaf Health Classification and Time Series Forecasting
polimi-aui
π£οΈ ArtyQuest, an innovative web application, revolutionizes pediatric speech therapy by integrating Generative AI, offering personalized, engaging exercises and empowering therapists with cutting-edge tools for effective language development.
feup-ac-proj
π Proposed Solutions for the project of the Machine Learning Curricular Unit @FEUP
feup-mi
πΆ Work developed for the Interactive Music course @FEUP
feup-pri-proj
π Project developed for the Processing and Retrieval of Information course