delta-lab-ai / pde-controllerLinks
☆22Updated 3 months ago
Alternatives and similar repositories for pde-controller
Users that are interested in pde-controller are comparing it to the libraries listed below
Sorting:
- Official implementation of Scalable Transformer for PDE surrogate modelling☆52Updated last year
- PROSE: Predicting Multiple Operators and Symbolic Expressions☆29Updated 6 months ago
- Domain Agnostic Fourier Neural Operators (DAFNO)☆17Updated last year
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆54Updated last year
- ☆46Updated 6 months ago
- ☆22Updated last year
- [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values☆29Updated 10 months ago
- ICON for in-context operator learning☆59Updated 7 months ago
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆35Updated last year
- Code for Mesh Transformer describes in the EAGLE dataset☆42Updated 7 months ago
- Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)☆16Updated 4 years ago
- 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 "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆62Updated last year
- [AAAI24] LE-PDE-UQ endows deep learning-based surrogate models with robust and efficient uncertainty quantification capabilities for both…☆15Updated last year
- Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML☆47Updated 2 years ago
- ☆33Updated 2 months ago
- About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664☆75Updated 5 months ago
- ☆53Updated 3 years ago
- ☆82Updated 2 years ago
- PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations☆21Updated 4 months ago
- [ICLR 2025] Wavelet Diffusion Neural Operator (WDNO) uses diffusion models on wavelet space for generative PDE simulation and control.☆46Updated 3 weeks ago
- ☆17Updated last year
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆27Updated 4 years ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆69Updated 5 months ago
- ☆85Updated last year
- CodePDE: An Inference Framework for LLM-driven PDE Solver Generation☆58Updated last month
- The public repository about our joint FINN research project☆38Updated 2 years ago
- Code for reproducing the experiments in the paper "On Conditional Diffusion Models for PDE Simulations".☆26Updated 11 months ago
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆17Updated last year
- Official implementation of the AIAA Journal paper "Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusi…☆80Updated 11 months ago