thu-ml / GNOTLinks
☆77Updated 2 years ago
Alternatives and similar repositories for GNOT
Users that are interested in GNOT are comparing it to the libraries listed below
Sorting:
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆53Updated last year
- ☆81Updated 11 months ago
- ☆56Updated 6 months ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆57Updated last year
- Official implementation of Scalable Transformer for PDE surrogate modelling☆49Updated last year
- ☆46Updated 2 years ago
- About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664☆72Updated 3 months ago
- ☆42Updated 2 weeks ago
- This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs☆184Updated 3 months ago
- ☆61Updated 4 months ago
- ☆13Updated 11 months ago
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs☆69Updated last year
- Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML☆45Updated 2 years ago
- [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values☆29Updated 8 months ago
- This repository contains the code for the paper: Deciphering and integrating invariants for neural operator learning with various physica…☆12Updated last year
- [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆46Updated last month
- Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation☆90Updated 7 months ago
- ☆20Updated 3 weeks ago
- Codomain attention neural operator for single to multi-physics PDE adaptation.☆62Updated 2 months ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆65Updated 3 months ago
- ICON for in-context operator learning☆56Updated 5 months ago
- Wavelet Neural Operator for solving parametric partialdifferential equations in computational mechanics problems☆39Updated 6 months ago
- ☆32Updated last year
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆149Updated 3 months ago
- ☆44Updated 4 months ago
- PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations☆20Updated 2 months ago
- Code for Mesh Transformer describes in the EAGLE dataset☆41Updated 5 months ago
- Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"☆22Updated last year
- Spectral Neural Operator☆79Updated last year
- About code release of "Transolver: A Fast Transformer Solver for PDEs on General Geometries", ICML 2024 Spotlight. https://arxiv.org/abs/…☆195Updated 2 weeks ago