MIONet: Learning multiple-input operators via tensor product
☆44Nov 13, 2022Updated 3 years ago
Alternatives and similar repositories for mionet
Users that are interested in mionet are comparing it to the libraries listed below
Sorting:
- ☆87Jul 18, 2023Updated 2 years ago
- Reliable extrapolation of deep neural operators informed by physics or sparse observations☆28Jun 4, 2023Updated 2 years ago
- ☆15Nov 20, 2023Updated 2 years ago
- ☆56May 13, 2025Updated 9 months ago
- Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of n…☆39Jul 12, 2023Updated 2 years ago
- Geometry-Aware Fourier Neural Operator (Geo-FNO)☆305Jun 2, 2025Updated 9 months ago
- ☆30Oct 6, 2022Updated 3 years ago
- Fourier-MIONet: Fourier-enhanced multiple-input neural operators for multiphase modeling of geological carbon sequestration☆19Sep 7, 2024Updated last year
- Synthetic data library used in operator learning for PDE problems that overcomes dependence on classical solvers such as finite differenc…☆17Aug 8, 2024Updated last year
- ☆59Jul 10, 2023Updated 2 years ago
- A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data☆358Jul 14, 2023Updated 2 years ago
- ☆69Aug 19, 2025Updated 6 months ago
- [NeurIPS 2025] Official pytorch repository for "Guided Diffusion Sampling on Function Spaces with Applications to PDEs"☆40Feb 9, 2026Updated 3 weeks ago
- Code for reproducing the experiments in the paper "On Conditional Diffusion Models for PDE Simulations".☆26Nov 6, 2024Updated last year
- ☆14Mar 3, 2022Updated 4 years ago
- Code for Mesh Transformer describes in the EAGLE dataset☆42Feb 21, 2025Updated last year
- ☆40Jul 20, 2023Updated 2 years ago
- ☆21Dec 8, 2022Updated 3 years ago
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆108Apr 15, 2022Updated 3 years ago
- Learning nonlinear operators via DeepONet☆760Jun 25, 2022Updated 3 years ago
- Code for the blog post☆12Jan 15, 2021Updated 5 years ago
- A MAC (Marker-And-Cell) solver written in Taichi☆10Aug 30, 2022Updated 3 years ago
- ☆15Dec 31, 2023Updated 2 years ago
- [ICLR 2023] Factorized Fourier Neural Operators☆189Oct 13, 2023Updated 2 years ago
- Multiwavelets-based operator model☆69Feb 16, 2022Updated 4 years ago
- This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs☆210Nov 24, 2025Updated 3 months ago
- Automatically exported from code.google.com/p/cufflink-library☆12Jan 15, 2016Updated 10 years ago
- Neural operator learning of heterogeneous mechanobiological insults contributing to aortic aneurysms☆12Nov 4, 2024Updated last year
- [TMLR] CodePDE: An Inference Framework for LLM-driven PDE Solver Generation☆71Feb 12, 2026Updated 3 weeks ago
- Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems☆40Mar 10, 2025Updated 11 months ago
- PDE-Transformer is a neural network architecture designed to efficiently process and predict the evolution of physical systems described …☆65Oct 29, 2025Updated 4 months ago
- Inducing Point Operator Transformer: A Flexible and Scalable Architecture for Solving PDEs (AAAI 2024)☆15Jul 30, 2024Updated last year
- FSI simulations using OpenFOAM☆12Jul 10, 2020Updated 5 years ago
- XPINN code written in TensorFlow 2☆28Feb 1, 2023Updated 3 years ago
- ☆55Oct 9, 2022Updated 3 years ago
- ☆37Jul 9, 2025Updated 7 months ago
- [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆76Nov 21, 2025Updated 3 months ago
- Awesome-spatial-temporal-scientific-machine-learning-data-mining-packages. Julia and Python resources on spatial and temporal data mining…☆14Dec 3, 2022Updated 3 years ago
- In this repository, you will find the different python scripts to train the available models on the AirfRANS dataset proposed at the Neur…☆59Jan 9, 2025Updated last year