nickmcgreivy / WeakBaselinesMLPDELinks
☆28Updated last year
Alternatives and similar repositories for WeakBaselinesMLPDE
Users that are interested in WeakBaselinesMLPDE are comparing it to the libraries listed below
Sorting:
- Pseudospectral Kolmogorov Flow Solver☆41Updated 2 years ago
- ☆13Updated last year
- ☆45Updated 3 years ago
- Here you find the Spectral Operator Learning Under construcTION☆20Updated last year
- Reliable extrapolation of deep neural operators informed by physics or sparse observations☆28Updated 2 years ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated 2 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…☆56Updated 10 months ago
- Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning☆17Updated last year
- [NeurIPS 2025] Geometry Aware Operator Transformer As An Efficient And Accurate Neural Surrogate For PDEs On Arbitrary Domains☆66Updated last month
- ☆54Updated 3 years ago
- [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆65Updated 2 weeks ago
- ☆47Updated 8 months ago
- Spectral Neural Operator☆78Updated last year
- An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.☆20Updated last month
- Code for the paper "Generative AI for fast and accurate statistical computation of fluids"☆46Updated 4 months ago
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆90Updated 3 weeks ago
- Code for Mesh Transformer describes in the EAGLE dataset☆42Updated 9 months ago
- This repository contains code, which was used to generate large-scale results in the HINTS paper.☆34Updated last year
- MIONet: Learning multiple-input operators via tensor product☆39Updated 3 years ago
- This is the repository for the code used in the ICML23 paper called "Achieving High Accuracy with PINNs via Energy Natural Gradient Desce…☆25Updated last year
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆36Updated 3 weeks ago
- Discontinuity Computing Using Physics-Informed Neural Network☆26Updated last year
- ☆12Updated last year
- Official implementation of Scalable Transformer for PDE surrogate modelling☆53Updated last year
- ☆89Updated last year
- Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems☆40Updated 8 months ago
- Sparse Physics-based and Interpretable Neural Networks☆52Updated 4 years ago
- A library for dimensionality reduction on spatial-temporal PDE☆70Updated last year
- [ICLR 2024] Neural Spectral Methods: Self-supervised learning in the spectral domain.☆46Updated last year
- PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations☆25Updated 6 months ago