HaoZhongkai / DPOTLinks
Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
☆66Updated last year
Alternatives and similar repositories for DPOT
Users that are interested in DPOT are comparing it to the libraries listed below
Sorting:
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆54Updated last year
- ☆87Updated last year
- ☆56Updated 2 years ago
- Official implementation of Scalable Transformer for PDE surrogate modelling☆53Updated last year
- ☆85Updated 2 years ago
- ☆54Updated 4 months ago
- About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664☆79Updated 8 months ago
- ☆23Updated last year
- [ICLR 2025] Wavelet Diffusion Neural Operator (WDNO) uses diffusion models on wavelet space for generative PDE simulation and control.☆51Updated 3 months ago
- Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation☆100Updated last year
- ☆37Updated last year
- ICON for in-context operator learning☆59Updated 9 months ago
- [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values☆29Updated last year
- ☆47Updated 9 months ago
- Wavelet Neural Operator for solving parametric partialdifferential equations in computational mechanics problems☆47Updated 3 months ago
- Code for reproducing the experiments in the paper "On Conditional Diffusion Models for PDE Simulations".☆26Updated last year
- ☆13Updated last year
- This repository contains the code for the paper: Deciphering and integrating invariants for neural operator learning with various physica…☆13Updated last year
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs - ICLR 2023☆75Updated last year
- PROSE: Predicting Multiple Operators and Symbolic Expressions☆31Updated last month
- Codomain attention neural operator for single to multi-physics PDE adaptation.☆70Updated 6 months ago
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆162Updated 8 months ago
- About code release of "Transolver: A Fast Transformer Solver for PDEs on General Geometries", ICML 2024 Spotlight. https://arxiv.org/abs/…☆241Updated last month
- ☆51Updated 8 months ago
- [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆66Updated 3 weeks ago
- ☆23Updated 4 months ago
- Code for orthogonal neural operator☆17Updated 2 years ago
- This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs☆198Updated 3 weeks ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆75Updated 7 months ago
- ☆11Updated last year