lizhihao2022 / Awesome-AI4PDELinks
Awesome AI4PDE is a curated list of resources and literature focusing on the intersection of Artificial Intelligence and Partial Differential Equations (PDEs).
☆69Updated 4 months ago
Alternatives and similar repositories for Awesome-AI4PDE
Users that are interested in Awesome-AI4PDE are comparing it to the libraries listed below
Sorting:
- About code release of "Transolver: A Fast Transformer Solver for PDEs on General Geometries", ICML 2024 Spotlight. https://arxiv.org/abs/…☆202Updated 3 weeks ago
- A Library for Advanced Neural PDE Solvers.☆184Updated last month
- ICON for in-context operator learning☆57Updated 6 months ago
- Encoding physics to learn reaction-diffusion processes☆102Updated 2 years ago
- Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey☆208Updated 2 months ago
- ☆84Updated 11 months ago
- ☆58Updated last week
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆58Updated last year
- Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.☆339Updated last year
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆53Updated last year
- ☆78Updated 2 years ago
- [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values☆29Updated 8 months ago
- ☆147Updated 10 months ago
- [ICLR2025] Wavelet Diffusion Neural Operator (WDNO) uses diffusion models on wavelet space for generative PDE simulation and control.☆40Updated 2 months ago
- A large-scale benchmark for machine learning methods in fluid dynamics☆216Updated 8 months ago
- About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664☆73Updated 4 months ago
- ☆21Updated last year
- Official implementation of NeurIPS 2024 paper "DiffusionPDE: Generative PDE-Solving Under Partial Observation"☆144Updated 4 months ago
- ☆26Updated 3 years ago
- A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data☆318Updated 2 years ago
- CodePDE: An Inference Framework for LLM-driven PDE Solver Generation☆52Updated 2 months ago
- Geometry-Aware Fourier Neural Operator (Geo-FNO)☆267Updated 2 months ago
- This is the code of my master thesis.☆141Updated 4 months ago
- [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆50Updated 2 months ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆67Updated 4 months ago
- ☆50Updated 8 months ago
- Generative Pre-Trained Physics-Informed Neural Networks Implementation☆101Updated 6 months ago
- Fourier Neural Operator☆12Updated 2 years ago
- Deep identification of symbolic open-form PDEs via enhanced reinforcement-learning☆39Updated 8 months ago
- ☆27Updated last month