HaoZhongkai / DPOT
Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
☆38Updated 3 months ago
Related projects: ⓘ
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆29Updated 3 months ago
- ☆52Updated 2 weeks ago
- ☆28Updated last year
- ICON for in-context operator learning☆36Updated last week
- Official implementation of Scalable Transformer for PDE surrogate modelling☆24Updated 5 months ago
- ☆23Updated last month
- ☆54Updated last year
- About code release of "Transolver: A Fast Transformer Solver for PDEs on General Geometries", ICML 2024 Spotlight. https://arxiv.org/abs/…☆61Updated last week
- ☆14Updated last month
- ☆15Updated 3 months ago
- ☆13Updated 3 months ago
- [ICML 2023] Non-Uniform Neural Operator (NUNO)☆17Updated last year
- Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation☆65Updated last month
- Spectral Neural Operator☆67Updated 8 months ago
- [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values☆19Updated 6 months ago
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs☆47Updated 8 months ago
- Source code for Separable PINN☆49Updated 10 months ago
- Codomain attention neural operator for single to multi-physics PDE adaptation.☆20Updated last month
- About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664☆60Updated 5 months ago
- [ICLR 2024] Neural Spectral Methods: Self-supervised learning in the spectral domain.☆28Updated 7 months ago
- This repository contains the code for the paper: Deciphering and integrating invariants for neural operator learning with various physica…☆11Updated 6 months ago
- Code for the paper Universal Physics Transformers☆37Updated 4 months ago
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆81Updated 2 months ago
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆23Updated 2 months ago
- Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML☆33Updated last year
- An unofficial implementation of the Fourier Neural Operator in Flax☆16Updated 3 months ago
- Repo to the paper "Message Passing Neural PDE Solvers"☆118Updated last week
- Code of ICML paper arxiv.org/abs/2302.08105☆12Updated last year
- LE-PDE accelerates PDEs' forward simulation and inverse optimization via latent global evolution, achieving significant speedup with SOTA…☆21Updated 7 months ago
- ☆46Updated 4 months ago