jaggbow / magnet
This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural PDE Solver" https://arxiv.org/abs/2210.05495
☆37Updated last year
Alternatives and similar repositories for magnet:
Users that are interested in magnet are comparing it to the libraries listed below
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs☆59Updated last year
- The public repository about our joint FINN research project☆36Updated 2 years ago
- [ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing☆39Updated last year
- Official implementation of Scalable Transformer for PDE surrogate modelling☆41Updated last year
- About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664☆69Updated last week
- PENN code for NeurIPS 2022☆40Updated 2 years ago
- Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML☆44Updated last year
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆32Updated 9 months ago
- ☆13Updated 7 months ago
- Codomain attention neural operator for single to multi-physics PDE adaptation.☆52Updated 3 weeks ago
- Domain Agnostic Fourier Neural Operators (DAFNO)☆14Updated 7 months ago
- Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆30Updated 4 months ago
- Multiwavelets-based operator model☆59Updated 3 years ago
- A tool for generating PDEs ground truth datasets from ARCSim, FEniCS and SU2☆37Updated 3 years ago
- Generalizing to New Physical Systems via Context-Informed Dynamics Model☆24Updated 11 months ago
- PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations☆17Updated 5 months ago
- Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems☆27Updated last month
- Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)☆15Updated 4 years ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆58Updated 8 months ago
- MeshGraphNets (MGN)☆62Updated last year
- PROSE: Predicting Multiple Operators and Symbolic Expressions☆23Updated 2 weeks ago
- Spectral Neural Operator☆78Updated last year
- Code for Mesh Transformer describes in the EAGLE dataset☆39Updated last month
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆47Updated 10 months ago
- ☆35Updated last year
- ☆19Updated 10 months ago
- Code of ICML paper arxiv.org/abs/2302.08105☆14Updated last year
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆53Updated 10 months ago
- ☆41Updated 7 months ago
- Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation☆84Updated 4 months ago