☆198Oct 20, 2024Updated last year
Alternatives and similar repositories for pinnsformer
Users that are interested in pinnsformer are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2024] Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.☆397Feb 11, 2026Updated 2 weeks ago
- ☆13Aug 22, 2024Updated last year
- ☆91Sep 2, 2024Updated last year
- ☆510Apr 1, 2025Updated 11 months ago
- A curated paper list for "Foundation Neural Operators: A Survey on Pretraining Methods, Data Ecosystems, and Efficient Adaptation".☆32Feb 14, 2026Updated 2 weeks ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆168May 15, 2024Updated last year
- ☆391Dec 3, 2022Updated 3 years ago
- PDE Preserved Neural Network☆58May 15, 2025Updated 9 months ago
- This is the code of my master thesis.☆187Feb 7, 2026Updated 3 weeks ago
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆100Oct 24, 2022Updated 3 years ago
- ☆87Jul 18, 2023Updated 2 years ago
- About code release of "Transolver: A Fast Transformer Solver for PDEs on General Geometries", ICML 2024 Spotlight. https://arxiv.org/abs/…☆271Updated this week
- ☆23Sep 29, 2021Updated 4 years ago
- 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
- Generative Pre-Trained Physics-Informed Neural Networks Implementation☆118Aug 26, 2025Updated 6 months ago
- Official implementation of Scalable Transformer for PDE surrogate modelling☆54Mar 23, 2024Updated last year
- ☆293Sep 14, 2024Updated last year
- 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
- Official repository for Physics Informed Token Transformer (PITT)☆24Feb 24, 2024Updated 2 years ago
- ☆25Dec 8, 2023Updated 2 years ago
- Repo to the paper "Message Passing Neural PDE Solvers"☆145Sep 11, 2024Updated last year
- One-Shot Transfer Learning of PINNs☆11Jun 13, 2023Updated 2 years ago
- U-FNO - an enhanced Fourier neural operator-based deep-learning model for multiphase flow☆169Sep 6, 2024Updated last year
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆54Jun 10, 2024Updated last year
- ☆21Mar 14, 2023Updated 2 years ago
- ☆243Oct 14, 2021Updated 4 years ago
- This is the implementation of the RecFNO.☆25Feb 21, 2023Updated 3 years ago
- Must-read Papers on Physics-Informed Neural Networks.☆1,426Dec 8, 2023Updated 2 years ago
- Characterizing possible failure modes in physics-informed neural networks.☆150Nov 18, 2021Updated 4 years ago
- ☆1,080Jan 29, 2026Updated last month
- About Code release for “RoPINN: Region Optimized Physics-Informed Neural Networks” (NeurIPS 2024), https://arxiv.org/abs/2405.14369☆60Jul 14, 2025Updated 7 months ago
- [ICLR2025 Spotlight] Official implementation of Conflict-Free Inverse Gradients Method☆103Nov 17, 2025Updated 3 months ago
- Spectral Neural Operator☆79Dec 20, 2023Updated 2 years ago
- PDEBench: An Extensive Benchmark for Scientific Machine Learning☆1,069Feb 24, 2026Updated last week
- Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems☆40Mar 10, 2025Updated 11 months ago
- Original implementation of fast PINN optimization with RBA weights☆70Sep 11, 2025Updated 5 months ago
- Official code for "DMIS: Dynamic Mesh-based Importance Sampling for Training Physics-Informed Neural Networks" (AAAI 2023)☆18Jan 17, 2024Updated 2 years ago
- Domain Agnostic Fourier Neural Operators (DAFNO)☆19Sep 3, 2024Updated last year
- Awesome AI4PDE is a curated list of resources and literature focusing on the intersection of Artificial Intelligence and Partial Differen…☆94Apr 10, 2025Updated 10 months ago