pehersto / ng
Neural Galerkin
☆15Updated last year
Alternatives and similar repositories for ng:
Users that are interested in ng are comparing it to the libraries listed below
- SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations☆18Updated 2 years ago
- ☆37Updated 2 years ago
- ☆21Updated 6 months ago
- Pseudospectral Kolmogorov Flow Solver☆37Updated last year
- Code for Mesh Transformer describes in the EAGLE dataset☆35Updated 9 months ago
- A library for dimensionality reduction on spatial-temporal PDE☆61Updated 9 months ago
- Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)☆15Updated 3 years ago
- PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations☆15Updated 2 months ago
- The public repository about our joint FINN research project☆36Updated 2 years ago
- ☆14Updated 5 months ago
- Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning☆17Updated last year
- ☆10Updated last year
- Differential equation neural operator☆20Updated last year
- In this repository, you will find the different python scripts to train the available models on the AirfRANS dataset proposed at the Neur…☆44Updated last week
- DeepONet extrapolation☆25Updated last year
- This is the repository for the code used in the ICML23 paper called "Achieving High Accuracy with PINNs via Energy Natural Gradient Desce…☆16Updated 2 months ago
- This repository contains code, which was used to generate large-scale results in the HINTS paper.☆22Updated 3 months ago
- The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…☆19Updated 2 years ago
- ☆40Updated 4 years ago
- Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" …☆29Updated 2 years ago
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆54Updated 2 months ago
- MIONet: Learning multiple-input operators via tensor product☆29Updated 2 years ago
- Spectral Neural Operator☆75Updated last year
- An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.☆18Updated 7 months ago
- Competitive Physics Informed Networks☆26Updated 3 months ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆24Updated last year
- PROSE: Predicting Multiple Operators and Symbolic Expressions☆18Updated 2 months ago
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆35Updated 2 years ago
- Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…☆38Updated last year
- ☆14Updated 3 years ago