☆118Feb 5, 2025Updated last year
Alternatives and similar repositories for Spline_PINN
Users that are interested in Spline_PINN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆99Feb 5, 2025Updated last year
- ☆59Mar 26, 2025Updated last year
- ☆12Oct 4, 2021Updated 5 years ago
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆100Aug 17, 2023Updated 3 years ago
- ☆13Aug 30, 2025Updated last year
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Spectral Neural Operator☆84Dec 20, 2023Updated 2 years ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆91Jan 24, 2021Updated 5 years ago
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆97May 11, 2022Updated 4 years ago
- ☆13Mar 21, 2024Updated 2 years ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆61Jun 10, 2024Updated 2 years ago
- Accelerating Physics Informed Neural Networks (PINNs) using Meshless Discretizations☆38Apr 15, 2023Updated 3 years ago
- ☆314Sep 14, 2024Updated 2 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆49Jul 23, 2020Updated 6 years ago
- Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data☆155Oct 18, 2019Updated 7 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Physics-informed neural network for solving fluid dynamics problems☆294Jan 28, 2021Updated 5 years ago
- Characterizing possible failure modes in physics-informed neural networks.☆152Nov 18, 2021Updated 4 years ago
- Domain Agnostic Fourier Neural Operators (DAFNO)☆23Sep 3, 2024Updated 2 years ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆300Oct 12, 2021Updated 5 years ago
- [ICLR 2023] Factorized Fourier Neural Operators☆199Oct 13, 2023Updated 3 years ago
- The public repository about our joint FINN research project☆38Oct 28, 2022Updated 4 years ago
- Differentiable Spline Approximations☆14Sep 3, 2023Updated 3 years ago
- Code for Mesh Transformer describes in the EAGLE dataset☆43Feb 21, 2025Updated last year
- ☆11Jan 7, 2025Updated last year
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Code for reproducing the paper: RANG: A Residual-based Adaptive Node Generation Method for Physics-Informed Neural Networks☆16May 2, 2022Updated 4 years ago
- Distributed Fourier Neural Operators☆34Sep 20, 2022Updated 4 years ago
- ☆63May 22, 2024Updated 2 years ago
- ☆433Dec 3, 2022Updated 3 years ago
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆63Dec 7, 2020Updated 5 years ago
- ☆11Mar 31, 2021Updated 5 years ago
- Code accompanying the manuscript "Augmented Physics-Informed Neural Networks (APINNs): A gating network-based soft domain decomposition m…☆16Sep 18, 2023Updated 3 years ago
- Official Github Repository for paper "Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (…☆18Jun 10, 2023Updated 3 years ago
- ☆63Jul 24, 2019Updated 7 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ☆222Feb 16, 2024Updated 2 years ago
- [NeurIPS 2021] Galerkin Transformer: Neural Operator built on Attention for PDEs☆271Jun 14, 2024Updated 2 years ago
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆115Apr 15, 2022Updated 4 years ago
- ☆13May 21, 2025Updated last year
- physics-informed neural network for elastodynamics problem☆164Jan 20, 2022Updated 4 years ago
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆200Apr 10, 2025Updated last year
- ☆16Oct 25, 2021Updated 5 years ago