camlab-ethz / ConvolutionalNeuralOperator
This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs
☆166Updated 6 months ago
Alternatives and similar repositories for ConvolutionalNeuralOperator:
Users that are interested in ConvolutionalNeuralOperator are comparing it to the libraries listed below
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆139Updated 2 weeks ago
- Applications of PINOs☆122Updated 2 years ago
- Spectral Neural Operator☆78Updated last year
- Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation☆84Updated 4 months ago
- Characterizing possible failure modes in physics-informed neural networks.☆134Updated 3 years ago
- ☆41Updated last year
- Codomain attention neural operator for single to multi-physics PDE adaptation.☆53Updated last month
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆68Updated 5 months ago
- ☆161Updated last year
- ☆73Updated 7 months ago
- Geometry-Aware Fourier Neural Operator (Geo-FNO)☆240Updated last year
- ☆253Updated 7 months ago
- ☆71Updated last year
- ☆50Updated 3 months ago
- ☆124Updated 6 months ago
- ☆200Updated 3 years ago
- ☆177Updated 3 weeks ago
- ☆134Updated 2 years ago
- ☆53Updated 2 years ago
- This repository is the official project page of the course AI in the Sciences and Engineering, ETH Zurich.☆200Updated 5 months ago
- Repo to the paper "Message Passing Neural PDE Solvers"☆131Updated 7 months ago
- DeepONet & FNO (with practical extensions)☆286Updated last year
- ☆32Updated last year
- ☆92Updated 3 years ago
- Codes associated with the manuscript titled "Multi-stage neural networks: Function approximator of machine precision"☆40Updated last year
- ☆16Updated last year
- ☆55Updated last month
- Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆30Updated 4 months ago
- ☆24Updated 10 months ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆58Updated 9 months ago