RobertoNeglia / HPC-coursesLinks
☆10Updated 2 years ago
Alternatives and similar repositories for HPC-courses
Users that are interested in HPC-courses are comparing it to the libraries listed below
Sorting:
- repository for the course Numerical Analysis for Machine Learning of Politecnico di Milano☆14Updated last year
- Official implementation of Diffusion Graph Networks (DGNs)☆77Updated 10 months ago
- Repo to the paper "Message Passing Neural PDE Solvers"☆147Updated last year
- This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs☆205Updated 2 months ago
- [NeurIPS 2023] A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting☆225Updated 3 months ago
- ☆14Updated last year
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆168Updated 10 months ago
- Multiwavelets-based operator model☆69Updated 3 years ago
- ☆68Updated 5 months ago
- ☆215Updated last year
- A small research project about advanced machine learning with neural networks. The Fourier neural operator was implemented here to see if…☆42Updated 2 years ago
- About code release of "Transolver: A Fast Transformer Solver for PDEs on General Geometries", ICML 2024 Spotlight. https://arxiv.org/abs/…☆263Updated this week
- ☆287Updated last year
- Resources for UPT tutorials☆15Updated 10 months ago
- ☆13Updated last year
- A deep learning based method for solving high dimensional partial differential equations based on its weak form☆26Updated 7 months ago
- ☆13Updated last year
- A Library for Advanced Neural PDE Solvers.☆262Updated 2 months ago
- PDE-Transformer is a neural network architecture designed to efficiently process and predict the evolution of physical systems described …☆64Updated 3 months ago
- A short tutorial for score-based generative modelling☆23Updated 3 years ago
- ☆200Updated 10 months ago
- Implementation of Fourier Neural Operator using PyTorch☆29Updated 3 months ago
- ☆66Updated 10 months ago
- Characterizing possible failure modes in physics-informed neural networks.☆150Updated 4 years ago
- ☆196Updated last year
- Codomain attention neural operator for single to multi-physics PDE adaptation.☆74Updated 8 months ago
- ☆90Updated last year
- Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation☆106Updated last year
- ☆86Updated 2 years ago
- Using graph network to solve PDEs☆433Updated 8 months ago