Peiyannn / MM-PDELinks
[ICLR24] Better Neural PDE Solvers Through Data-Free Mesh Movers
☆17Updated last year
Alternatives and similar repositories for MM-PDE
Users that are interested in MM-PDE are comparing it to the libraries listed below
Sorting:
- ☆45Updated 5 months ago
- [ICLR24] CinDM uses compositional generative models to design boundaries and initial states significantly more complex than the ones seen…☆36Updated last year
- Main repo for GIOROM☆17Updated last month
- [ICLR2025] Wavelet Diffusion Neural Operator (WDNO) uses diffusion models on wavelet space for generative PDE simulation and control.☆43Updated 2 weeks ago
- LE-PDE accelerates PDEs' forward simulation and inverse optimization via latent global evolution, achieving significant speedup with SOTA…☆28Updated last year
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs - ICLR 2023☆71Updated last year
- [ICML 2025] M2PDE: Compositional Generative Multiphysics and Multi-component PDE Simulation.☆20Updated 4 months ago
- [ICML 2025] The official implementation of the paper "On the Guidance of Flow Matching"☆57Updated last week
- Neural SPH☆35Updated last year
- Code for reproducing the experiments in the paper "On Conditional Diffusion Models for PDE Simulations".☆26Updated 10 months ago
- Code for Point-Calibrated Spectral Neural Operators☆21Updated 11 months ago
- [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values☆29Updated 9 months ago
- The implementation of the paper: Clifford Group Equivariant Simplicial Message Passing Networks @ ICLR2024☆10Updated last year
- Generative turbulence model TurbDiff as proposed in "From Zero to Turbulence: Generative Modeling for 3D Flow Simulation", ICLR 2024☆27Updated 7 months ago
- [ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing☆40Updated last year
- AeroGTO: An Efficient Graph-Transformer Operator for Learning Large-Scale Aerodynamics of 3D Vehicle Geometries☆14Updated 2 months ago
- [NeurIPS2024] DiffPhyCon uses generative models to control complex physical systems☆43Updated 2 weeks ago
- Denoising Hamiltonian Network for Physical Reasoning☆37Updated 6 months ago
- Inducing Point Operator Transformer: A Flexible and Scalable Architecture for Solving PDEs (AAAI 2024)☆15Updated last year
- ☆16Updated 2 years ago
- CodePDE: An Inference Framework for LLM-driven PDE Solver Generation☆56Updated 3 weeks ago
- [NeurIPS 2022] The implementation for the paper "Learning Physical Dynamics with Subequivariant Graph Neural Networks".☆38Updated 2 years ago
- Official implementation of Scalable Transformer for PDE surrogate modelling☆52Updated last year
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆54Updated last year
- ☆34Updated last year
- ICON for in-context operator learning☆59Updated 7 months ago
- Domain Agnostic Fourier Neural Operators (DAFNO)☆16Updated last year
- Official implementation for 'Sparse denoising diffusion for large graph generation'☆66Updated last month
- Reference implementation of the paper "Efficient and Scalable Graph Generation through Iterative Local Expansion"☆14Updated 3 weeks ago
- Code for "Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation" @ NeurIPS 2023☆20Updated last year