smart-JLuo / NeurKIttLinks
Official Implement for Paper "Neural Krylov Iteration for Accelerating Linear System Solving"
☆12Updated 7 months ago
Alternatives and similar repositories for NeurKItt
Users that are interested in NeurKItt are comparing it to the libraries listed below
Sorting:
- Learned incomplete factorization preconditioners using graph neural networks☆23Updated 11 months ago
- ☆89Updated last year
- About code release of "Transolver: A Fast Transformer Solver for PDEs on General Geometries", ICML 2024 Spotlight. https://arxiv.org/abs/…☆245Updated last month
- A Library for Advanced Neural PDE Solvers.☆249Updated last month
- [ICLR 2024] Neural Spectral Methods: Self-supervised learning in the spectral domain.☆47Updated last year
- Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey☆249Updated 6 months ago
- An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.☆19Updated 2 months ago
- Learning Algebraic Multigrid Using Graph Neural Networks☆25Updated 5 years ago
- A multiphase multiphysics dataset and benchmarks for scientific machine learning☆40Updated last year
- Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation☆100Updated last year
- ☆57Updated 2 years ago
- A large-scale benchmark for machine learning methods in fluid dynamics☆251Updated 2 months ago
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆166Updated 8 months ago
- Awesome AI4PDE is a curated list of resources and literature focusing on the intersection of Artificial Intelligence and Partial Differen…☆84Updated 8 months ago
- ☆61Updated last year
- ☆20Updated 4 months ago
- Modified Meshgraphnets with more features☆57Updated 10 months ago
- ☆86Updated 2 years ago
- [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆69Updated last month
- This repository contains code, which was used to generate large-scale results in the HINTS paper.☆35Updated last year
- ☆46Updated this week
- Official implementation of Scalable Transformer for PDE surrogate modelling☆53Updated last year
- ☆38Updated last year
- Codomain attention neural operator for single to multi-physics PDE adaptation.☆71Updated 6 months ago
- ICON for in-context operator learning☆59Updated 10 months ago
- This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs☆202Updated last month
- ☆24Updated 2 years ago
- ☆13Updated 2 years ago
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆92Updated last month
- LE-PDE accelerates PDEs' forward simulation and inverse optimization via latent global evolution, achieving significant speedup with SOTA…☆29Updated last year