PKU-CMEGroup / NeuralOperatorLinks
☆35Updated this week
Alternatives and similar repositories for NeuralOperator
Users that are interested in NeuralOperator are comparing it to the libraries listed below
Sorting:
- ☆54Updated 2 years ago
- MIONet: Learning multiple-input operators via tensor product☆37Updated 2 years ago
- ☆48Updated 2 years ago
- Physics Informed Fourier Neural Operator☆24Updated 9 months ago
- ☆84Updated 11 months ago
- [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆50Updated 2 months ago
- KTH-FlowAI / beta-Variational-autoencoders-and-transformers-for-reduced-order-modelling-of-fluid-flows☆33Updated 4 months ago
- Separabale Physics-Informed DeepONets in JAX☆10Updated 9 months ago
- Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"☆22Updated last year
- This repository contains the code for the paper: Deciphering and integrating invariants for neural operator learning with various physica…☆12Updated last year
- ☆32Updated last year
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆67Updated 4 months ago
- ☆12Updated last year
- PDE Preserved Neural Network☆54Updated 3 months ago
- ☆46Updated 5 months ago
- ☆58Updated last week
- ☆21Updated last year
- Reliable extrapolation of deep neural operators informed by physics or sparse observations☆27Updated 2 years ago
- ☆36Updated 2 years ago
- Sparse Physics-based and Interpretable Neural Networks☆51Updated 3 years ago
- An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.☆20Updated last year
- Fourier Neural Operator☆12Updated 2 years ago
- ☆14Updated 2 years ago
- This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs☆186Updated 3 months ago
- PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations☆20Updated 2 months ago
- ☆78Updated 2 years ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆73Updated 2 years ago
- ☆27Updated last month
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆81Updated this week
- ☆147Updated 10 months ago