WooJin-Cho / Parameterized-Physics-informed-Neural-NetworksLinks
☆26Updated 6 months ago
Alternatives and similar repositories for Parameterized-Physics-informed-Neural-Networks
Users that are interested in Parameterized-Physics-informed-Neural-Networks are comparing it to the libraries listed below
Sorting:
- ☆40Updated 4 months ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆57Updated last year
- ☆80Updated 9 months ago
- ICON for in-context operator learning☆54Updated 4 months ago
- ☆75Updated last year
- Awesome AI4PDE is a curated list of resources and literature focusing on the intersection of Artificial Intelligence and Partial Differen…☆53Updated 2 months ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆51Updated last year
- Fourier Neural Operator☆12Updated 2 years ago
- [NeurIPS 2023 Spotlight] Separable Physics-Informed Neural Networks☆74Updated last year
- Wavelet Neural Operator for solving parametric partialdifferential equations in computational mechanics problems☆36Updated 5 months ago
- Benchmarking of diffusion models for global field reconstruction from sparse observations☆23Updated 6 months ago
- [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values☆28Updated 6 months ago
- ☆56Updated 5 months ago
- ☆43Updated last year
- Official implementation of Scalable Transformer for PDE surrogate modelling☆46Updated last year
- ☆38Updated 2 months ago
- ☆21Updated last year
- Differential equation neural operator☆22Updated last year
- [ICLR2025] Wavelet Diffusion Neural Operator (WDNO) uses diffusion models on wavelet space for generative PDE simulation and control.☆35Updated 2 weeks ago
- [NeurIPS 2022] Minimizing L_inf Physics-Informed Loss for PINN with adversarial training☆39Updated 2 years ago
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs☆66Updated last year
- ☆33Updated last year
- About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664☆71Updated 2 months ago
- Spectral Neural Operator☆79Updated last year
- Code for orthogonal neural operator☆15Updated last year
- CodePDE: An Inference Framework for LLM-driven PDE Solver Generation☆44Updated last week
- About code release of "Transolver: A Fast Transformer Solver for PDEs on General Geometries", ICML 2024 Spotlight. https://arxiv.org/abs/…☆181Updated 2 weeks ago
- Code for reproducing the experiments in the paper "On Conditional Diffusion Models for PDE Simulations".☆24Updated 7 months ago
- About code release of "HelmFluid: Learning Helmholtz Dynamics for Interpretable Fluid Prediction", ICML 2024. https://arxiv.org/pdf/2310.…☆19Updated 11 months ago
- [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆43Updated last week