benmoseley / FBPINNsLinks
Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs)
☆507Updated last month
Alternatives and similar repositories for FBPINNs
Users that are interested in FBPINNs are comparing it to the libraries listed below
Sorting:
- ☆392Updated last month
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆265Updated 4 years ago
- ☆500Updated 9 months ago
- Physics Informed Neural Network (PINN) for the wave equation.☆200Updated 5 years ago
- Physics-Informed Neural networks for Advanced modeling☆689Updated last week
- ☆238Updated 4 years ago
- Physics Informed Machine Learning Tutorials (Pytorch and Jax)☆630Updated 10 months ago
- ☆378Updated 3 years ago
- Deep learning for Engineers - Physics Informed Deep Learning☆357Updated 2 years ago
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆229Updated 2 years ago
- ☆213Updated last year
- ETH Zürich Deep Learning in Scientific Computing Master's course 2023☆122Updated last year
- A place to share problems solved with SciANN☆297Updated 2 years ago
- This repository is the official project page of the course AI in the Sciences and Engineering, ETH Zurich.☆319Updated 7 months ago
- Introductory workshop on PINNs using the harmonic oscillator☆136Updated last month
- A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data☆347Updated 2 years ago
- ☆195Updated last year
- Simple PyTorch Implementation of Physics Informed Neural Network (PINN)☆358Updated last year
- TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).☆265Updated 2 years ago
- PyTorch Implementation of Physics-informed Neural Networks☆692Updated last year
- PINNs-TF2, Physics-informed Neural Networks (PINNs) implemented in TensorFlow V2.☆152Updated last year
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆201Updated 2 years ago
- Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.☆386Updated last year
- Characterizing possible failure modes in physics-informed neural networks.☆147Updated 4 years ago
- Investigating PINNs☆710Updated 4 years ago
- ☆164Updated 3 years ago
- ☆110Updated 4 years ago
- Physics-informed neural network for solving fluid dynamics problems☆259Updated 4 years ago
- ☆194Updated last year
- Generative Pre-Trained Physics-Informed Neural Networks Implementation☆114Updated 4 months ago