ilariavascotto / UL_2023_fallLinks
This repository is dedicated to the lab activities of the course of Unsupervised Learning @Units
☆9Updated last year
Alternatives and similar repositories for UL_2023_fall
Users that are interested in UL_2023_fall are comparing it to the libraries listed below
Sorting:
- ☆18Updated 2 years ago
- 🎲🧑🏻🏫 Repository for the Probabilistic Machine Learning labs/practica (@ UniTS, Spring 2023)☆10Updated 2 years ago
- 🧠🧑🏻💻 Repository for the Deep Learning course labs/practica (UniTS, Spring 2024)☆36Updated last year
- Repository for the Advanced Topics in Machine Learning practica (@ UniTS, Spring 2023)☆18Updated 6 months ago
- Applied Mathematics: an Introduction to Scientific Computing by Numerical Analysis☆17Updated last year
- Lecture slides, codes and materials for both the basic and advanced "Foundations of HPC" courses @UniTS, "Data Science and Scientific Com…☆35Updated last year
- Repository for the Probabilistic Machine Learning labs/practica (@ UniTS, Spring 2024)☆19Updated last year
- Slides, exercises and resources for the 2023-2024 course on "Cloud-Computing Module 1" under the "Scientific and Data-Intensive Computing…☆15Updated last year
- Curated repository for all the teaching materials (courses, seminars, etc.) provided by the lab and its members.☆8Updated 2 weeks ago
- Physics-Informed Neural networks for Advanced modeling☆505Updated this week
- ☆14Updated 2 years ago
- This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs☆177Updated last month
- ☆11Updated 4 years ago
- This repository is the official project page of the course AI in the Sciences and Engineering, ETH Zurich.☆224Updated 3 weeks ago
- Slides, exercises and resources for the 2023-2024 course "High Performance Computing" under the "Scientific and Data-Intensive Computing"…☆35Updated last year
- Neural network based solvers for partial differential equations and inverse problems . Implementation of physics-informed neural networks…☆150Updated 4 months ago
- Resources for UPT tutorials☆11Updated 2 months ago
- ☆197Updated 10 months ago
- Implementation of Fourier Neural Operator using PyTorch☆16Updated 7 months ago
- ☆14Updated 8 months ago
- ☆9Updated last year
- Playing around with Phyiscs-Informed Neural Networks☆79Updated last month
- ETH Zürich AI in the Sciences and Engineering Master's course 2024☆34Updated 10 months ago
- Physics Informed Machine Learning Tutorials (Pytorch and Jax)☆555Updated 3 months ago
- Graph Neural Networks (GNN) based solvers for Computational Fluid Dynamics (CFD)☆39Updated last year
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆144Updated last month
- Burgers equation solved by PINN in PyTorch☆21Updated 3 years ago
- Applications of PINOs☆126Updated 2 years ago
- Characterizing possible failure modes in physics-informed neural networks.☆135Updated 3 years ago
- ☆210Updated 3 years ago