lizhihao2022 / AMGLinks
[KDD 2025] Harnessing Scale and Physics: A Multi-Graph Neural Operator Framework for PDEs on Arbitrary Geometries
☆18Updated 8 months ago
Alternatives and similar repositories for AMG
Users that are interested in AMG are comparing it to the libraries listed below
Sorting:
- ☆22Updated 3 months ago
- About code release of "Transolver: A Fast Transformer Solver for PDEs on General Geometries", ICML 2024 Spotlight. https://arxiv.org/abs/…☆223Updated last week
- ☆62Updated 2 months ago
- Awesome AI4PDE is a curated list of resources and literature focusing on the intersection of Artificial Intelligence and Partial Differen…☆78Updated 6 months ago
- About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664☆74Updated 6 months ago
- PyTorch implementation of the diffusion-based method for CFD data super-resolution proposed in the paper "A Physics-informed Diffusion Mo…☆210Updated 2 years ago
- [ICLR 2025] Wavelet Diffusion Neural Operator (WDNO) uses diffusion models on wavelet space for generative PDE simulation and control.☆47Updated last month
- Wavelet Neural Operator for solving parametric partialdifferential equations in computational mechanics problems☆47Updated 2 months ago
- Encoding physics to learn reaction-diffusion processes☆105Updated 2 years ago
- Code repo for CoNFiLD: Conditional Neural Field Latent Diffusion Model Generating Spatiotemporal Turbulence☆65Updated 8 months ago
- Geometry-Aware Fourier Neural Operator (Geo-FNO)☆282Updated 4 months ago
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs - ICLR 2023☆74Updated last year
- Source code for paper "Learning spatiotemporal dynamics with a pretrained generative model" in Nature Machine Intelligence☆51Updated 6 months ago
- PyTorch implementations of Learning Mesh-based Simulation With Graph Networks☆204Updated 3 years ago
- Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation☆99Updated 10 months ago
- ☆83Updated 2 years ago
- ☆59Updated last week
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆161Updated last year
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆64Updated last year
- ☆53Updated 3 years ago
- A Library for Advanced Neural PDE Solvers.☆211Updated 2 weeks ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆54Updated last year
- A small research project about advanced machine learning with neural networks. The Fourier neural operator was implemented here to see if…☆38Updated 2 years ago
- ☆22Updated last year
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆72Updated 6 months ago
- Repo to the paper "Message Passing Neural PDE Solvers"☆139Updated last year
- Official implementation of NeurIPS 2024 paper "DiffusionPDE: Generative PDE-Solving Under Partial Observation"☆149Updated 6 months ago
- ☆165Updated last year
- Differentiable Physics-informed Graph Networks☆68Updated 5 years ago
- MeshGraphNets (MGN)☆67Updated last year