☆1,080Jan 29, 2026Updated last month
Alternatives and similar repositories for Neural-PDE-Solver
Users that are interested in Neural-PDE-Solver are comparing it to the libraries listed below
Sorting:
- PDEBench: An Extensive Benchmark for Scientific Machine Learning☆1,069Feb 24, 2026Updated last week
- This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs☆208Nov 24, 2025Updated 3 months ago
- [NeurIPS 2024] Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.☆397Feb 11, 2026Updated 3 weeks ago
- ☆510Apr 1, 2025Updated 11 months ago
- Using graph network to solve PDEs☆437Jun 2, 2025Updated 9 months ago
- ☆293Sep 14, 2024Updated last year
- Learning in infinite dimension with neural operators.☆3,432Feb 24, 2026Updated last week
- About code release of "Transolver: A Fast Transformer Solver for PDEs on General Geometries", ICML 2024 Spotlight. https://arxiv.org/abs/…☆271Updated this week
- Repo to the paper "Message Passing Neural PDE Solvers"☆145Sep 11, 2024Updated last year
- Geometry-Aware Fourier Neural Operator (Geo-FNO)☆305Jun 2, 2025Updated 9 months ago
- ☆391Dec 3, 2022Updated 3 years ago
- A library for scientific machine learning and physics-informed learning☆3,907Updated this week
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆67Jun 10, 2024Updated last year
- A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data☆358Jul 14, 2023Updated 2 years ago
- ☆404Nov 14, 2025Updated 3 months ago
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆168Apr 10, 2025Updated 10 months ago
- ☆91Sep 2, 2024Updated last year
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆54Jun 10, 2024Updated last year
- About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664☆79Apr 10, 2025Updated 10 months ago
- Spectral Neural Operator☆79Dec 20, 2023Updated 2 years ago
- A large-scale benchmark for machine learning methods in fluid dynamics☆259Oct 25, 2025Updated 4 months ago
- DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia☆292Sep 28, 2024Updated last year
- Must-read Papers on Physics-Informed Neural Networks.☆1,426Dec 8, 2023Updated 2 years ago
- [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆76Nov 21, 2025Updated 3 months ago
- Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey☆321Jun 4, 2025Updated 9 months ago
- Learning nonlinear operators via DeepONet☆760Jun 25, 2022Updated 3 years ago
- ☆87Jul 18, 2023Updated 2 years ago
- A Library for Advanced Neural PDE Solvers.☆267Nov 17, 2025Updated 3 months ago
- ☆54Oct 9, 2022Updated 3 years ago
- Official implementation of Scalable Transformer for PDE surrogate modelling☆54Mar 23, 2024Updated last year
- [ICLR 2023] Factorized Fourier Neural Operators☆189Oct 13, 2023Updated 2 years ago
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs - ICLR 2023☆73Jan 13, 2024Updated 2 years ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆78Apr 24, 2025Updated 10 months ago
- Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations☆5,611Feb 11, 2026Updated 3 weeks ago
- Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation☆109Dec 13, 2024Updated last year
- Applications of PINOs☆146Oct 10, 2022Updated 3 years ago
- A differentiable PDE solving framework for machine learning☆1,823Feb 17, 2026Updated 2 weeks ago
- [NeurIPS 2023 Spotlight] Separable Physics-Informed Neural Networks☆88Oct 25, 2023Updated 2 years ago
- Code for the paper Universal Physics Transformers☆151Jul 2, 2025Updated 8 months ago