HaoZhongkai / DPOT
Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
☆54Updated 10 months ago
Alternatives and similar repositories for DPOT:
Users that are interested in DPOT are comparing it to the libraries listed below
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆49Updated 10 months ago
- ☆42Updated last year
- ICON for in-context operator learning☆51Updated 2 months ago
- ☆75Updated 8 months ago
- ☆71Updated last year
- Official implementation of Scalable Transformer for PDE surrogate modelling☆42Updated last year
- About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664☆71Updated 3 weeks ago
- ☆36Updated 2 months ago
- ☆31Updated 9 months ago
- ☆21Updated 11 months ago
- Code for orthogonal neural operator☆15Updated last year
- Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation☆83Updated 4 months ago
- [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values☆26Updated 5 months ago
- PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations☆17Updated 6 months ago
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs☆63Updated last year
- Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML☆44Updated last year
- [ICLR2025] Wavelet Diffusion Neural Operator (WDNO) uses diffusion models on wavelet space for generative PDE simulation and control.☆26Updated 2 weeks ago
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆32Updated 10 months ago
- Differential equation neural operator☆21Updated last year
- ☆13Updated 8 months ago
- This repository contains the code for the paper: Deciphering and integrating invariants for neural operator learning with various physica…☆11Updated last year
- ☆32Updated last month
- PROSE: Predicting Multiple Operators and Symbolic Expressions☆23Updated last month
- Wavelet Neural Operator for solving parametric partialdifferential equations in computational mechanics problems☆28Updated 3 months ago
- [ICML 2023] Non-Uniform Neural Operator (NUNO)☆25Updated last year
- [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆32Updated this week
- Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"☆18Updated 11 months ago
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆138Updated 3 weeks ago
- Code for reproducing the experiments in the paper "On Conditional Diffusion Models for PDE Simulations".☆20Updated 5 months ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆60Updated last week