snap-stanford / lampLinks
[ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing
☆40Updated last year
Alternatives and similar repositories for lamp
Users that are interested in lamp are comparing it to the libraries listed below
Sorting:
- LE-PDE accelerates PDEs' forward simulation and inverse optimization via latent global evolution, achieving significant speedup with SOTA…☆26Updated last year
- ☆52Updated 3 years ago
- [ICLR24] CinDM uses compositional generative models to design boundaries and initial states significantly more complex than the ones seen…☆36Updated last year
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs☆65Updated last year
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆57Updated last year
- This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural PDE Solver" https://arxiv.org/abs/2210.05495☆37Updated 2 years ago
- Code for the ICLR 2020 paper "Learning to Control PDEs"☆33Updated 5 years ago
- ICON for in-context operator learning☆54Updated 4 months ago
- Neural SPH☆32Updated 11 months ago
- LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite☆63Updated 5 months ago
- A tool for generating PDEs ground truth datasets from ARCSim, FEniCS and SU2☆37Updated 3 years ago
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆32Updated last year
- ☆23Updated 2 years ago
- Official implementation of Diffusion Graph Networks (DGNs)☆55Updated 3 months ago
- ☆14Updated 2 years ago
- Official implementation of the AIAA Journal paper "Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusi…☆68Updated 7 months ago
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆69Updated last year
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆51Updated last year
- Solving Inverse Physics Problems with Score Matching☆27Updated last year
- [ICLR2025] Wavelet Diffusion Neural Operator (WDNO) uses diffusion models on wavelet space for generative PDE simulation and control.☆35Updated last week
- PROSE: Predicting Multiple Operators and Symbolic Expressions☆26Updated 2 months ago
- MeshGraphNets (MGN)☆64Updated last year
- Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation☆86Updated 6 months ago
- Generative turbulence model TurbDiff as proposed in "From Zero to Turbulence: Generative Modeling for 3D Flow Simulation", ICLR 2024☆24Updated 4 months ago
- PENN code for NeurIPS 2022☆41Updated 2 years ago
- About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664☆71Updated 2 months ago
- [ICML 2025] M2PDE: Compositional Generative Multiphysics and Multi-component PDE Simulation.☆17Updated last month
- PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations☆20Updated 3 weeks ago
- [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values☆28Updated 6 months ago
- Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure☆25Updated 2 years ago