thu-ml / GNOTLinks
☆81Updated 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"☆54Updated last year
- ☆83Updated last year
- Official implementation of Scalable Transformer for PDE surrogate modelling☆52Updated last year
- ☆50Updated 2 years ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆59Updated last year
- ☆48Updated last month
- ☆59Updated 3 weeks ago
- About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664☆74Updated 5 months ago
- ☆61Updated 5 months ago
- This repository contains the code for the paper: Deciphering and integrating invariants for neural operator learning with various physica…☆12Updated last year
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆152Updated 5 months ago
- This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs☆189Updated 4 months ago
- Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation☆96Updated 9 months ago
- [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆55Updated 2 months ago
- Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML☆46Updated 2 years ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆69Updated 4 months ago
- Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"☆22Updated last year
- [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values☆29Updated 9 months ago
- ICON for in-context operator learning☆57Updated 6 months ago
- ☆32Updated last year
- PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations☆20Updated 3 months ago
- Wavelet Neural Operator for solving parametric partialdifferential equations in computational mechanics problems☆43Updated 3 weeks ago
- ☆46Updated 6 months ago
- ☆21Updated last year
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs☆71Updated last year
- ☆13Updated last year
- Codomain attention neural operator for single to multi-physics PDE adaptation.☆65Updated 3 months ago
- Spectral Neural Operator☆78Updated last year
- ☆38Updated 2 months ago
- Code for reproducing the experiments in the paper "On Conditional Diffusion Models for PDE Simulations".☆26Updated 10 months ago