smart-JLuo / NeurKIttLinks
Official Implement for Paper "Neural Krylov Iteration for Accelerating Linear System Solving"
☆13Updated 8 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 last year
- ☆89Updated last year
- A Library for Advanced Neural PDE Solvers.☆262Updated 2 months ago
- About code release of "Transolver: A Fast Transformer Solver for PDEs on General Geometries", ICML 2024 Spotlight. https://arxiv.org/abs/…☆260Updated 3 months ago
- [ICLR 2024] Neural Spectral Methods: Self-supervised learning in the spectral domain.☆48Updated 2 years ago
- Awesome AI4PDE is a curated list of resources and literature focusing on the intersection of Artificial Intelligence and Partial Differen…☆93Updated 9 months ago
- An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.☆19Updated 3 months ago
- [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values☆30Updated last year
- ☆58Updated 2 years ago
- ☆69Updated last year
- ☆86Updated 2 years ago
- ☆48Updated last month
- Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation☆102Updated last year
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆168Updated 9 months ago
- CodePDE: An Inference Framework for LLM-driven PDE Solver Generation☆65Updated 5 months ago
- ☆23Updated 6 months ago
- [NeurIPS 2025] Geometry Aware Operator Transformer As An Efficient And Accurate Neural Surrogate For PDEs On Arbitrary Domains☆73Updated 3 months ago
- [NeurIPS 2023 Spotlight] Separable Physics-Informed Neural Networks☆88Updated 2 years ago
- A large-scale benchmark for machine learning methods in fluid dynamics☆260Updated 3 months ago
- ☆28Updated 10 months ago
- ☆49Updated 10 months ago
- ☆60Updated this week
- PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations☆25Updated 7 months ago
- [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆69Updated 2 months ago
- A Python package for Random Feature Method (RFM)☆27Updated last week
- This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs☆203Updated 2 months ago
- ☆29Updated last year
- ☆40Updated last year
- ODIL (Optimizing a Discrete Loss) is a Python framework for solving inverse and data assimilation problems for partial differential equat…☆134Updated 2 months ago
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆96Updated 2 months ago