ASK-Berkeley / Neural-Spectral-MethodsLinks
[ICLR 2024] Neural Spectral Methods: Self-supervised learning in the spectral domain.
☆44Updated last year
Alternatives and similar repositories for Neural-Spectral-Methods
Users that are interested in Neural-Spectral-Methods are comparing it to the libraries listed below
Sorting:
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆75Updated last month
- Spectral Neural Operator☆79Updated last year
- ☆26Updated 11 months ago
- ☆41Updated 2 years ago
- An unofficial implementation of the Fourier Neural Operator in Flax☆17Updated last year
- ☆32Updated 11 months ago
- An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.☆20Updated last year
- LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite☆63Updated 5 months ago
- This repository contains code, which was used to generate large-scale results in the HINTS paper.☆30Updated 8 months ago
- Pseudospectral Kolmogorov Flow Solver☆40Updated last year
- Code of ICML paper arxiv.org/abs/2302.08105☆14Updated 2 years ago
- Official implementation of Scalable Transformer for PDE surrogate modelling☆46Updated last year
- Codomain attention neural operator for single to multi-physics PDE adaptation.☆59Updated 3 weeks ago
- Efficient Differentiable n-d PDE solvers in JAX.☆40Updated 7 months ago
- Here you find the Spectral Operator Learning Under construcTION☆20Updated last year
- Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation☆86Updated 6 months ago
- Code for Mesh Transformer describes in the EAGLE dataset☆41Updated 4 months ago
- [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆43Updated last week
- A library for dimensionality reduction on spatial-temporal PDE☆66Updated last year
- ☆38Updated 3 months ago
- Convolutional Differential Operators for Physics-based Deep Learning Study☆25Updated 10 months ago
- PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations☆20Updated 3 weeks ago
- Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning☆16Updated last year
- ☆43Updated last year
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆51Updated 2 years ago
- ☆17Updated 6 months ago
- JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework☆69Updated 5 months ago
- ☆12Updated last year
- ☆80Updated 9 months ago
- Practicum on Supervised Learning in Function Spaces☆33Updated 3 years ago