biromiro/cs-ai-summer-school-challenge biromiro/cs-ai-summer-school-challenge

  • Stars
    star
    1
  • Language
    Jupyter Notebook
  • Created over 2 years ago
  • Updated over 2 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
biromiro/cs-ai-summer-school-challenge
github

biromiro

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

🤖 CentraleSupelec Summer School on AI 2022 - Classify an email into eight classes based on the metadata extracted from the emails.

More Repositories

1

feup-lcom

🖱️Proposed Solution for the Computer Laboratory Project @FEUP
C
6
star
2

pinn-multivp

💨 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.
Jupyter Notebook
4
star
3

feup-sope

Solution proposal for the Operating Systems course exercises
C
3
star
4

polimi-naml

Numerical Analysis for Machine Learning
Jupyter Notebook
3
star
5

feup-gulbenkian-qc-mt

⚡ Developed Code for the New Talents in Quantum Technologies Program of the Gulbenkian Foundation / Capstone Project @FEUP
Jupyter Notebook
2
star
6

feup-cpd-proj

Java
2
star
7

feup-cgra

🐟 Proposed project solution for the Computer Graphics course @ FEUP
JavaScript
2
star
8

feup-pfl

Solution proposal for the Functional and Logical Programming course exercises
Prolog
1
star
9

feup-edaa-dcel

Implementation of the Doubly Connected Edge List (DCEL) Data Structure and application on the Map Overlay Problem
C++
1
star
10

feup-sope-proj1

Proposed project solution for the Operating Systems course @ FEUP
C
1
star
11

feup-pfl-proj-1

Haskell
1
star
12

pi-multivp

💨 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).
1
star
13

pignn-multivp

💨 This repository contains the experiments with Physics-Informed Graph Neural Networks (PiGNNs) for Solar Wind Modelling to improve prediction accuracy and computational efficiency.
Jupyter Notebook
1
star
14

feup-iart-proj1

🤖 Proposed project solution for the Artificial Intelligence course @ FEUP
Python
1
star
15

pod-pinn

🌀 This repository contains the implementation of a physics-informed surrogate model leveraging Proper Orthogonal Decomposition (POD) and neural networks to solve the inviscid Burgers' equation efficiently.
Jupyter Notebook
1
star
16

pino-multivp

💨 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.
Jupyter Notebook
1
star