mroberto166 / CAMLab-DLSCTutorialsLinks
☆203Updated last year
Alternatives and similar repositories for CAMLab-DLSCTutorials
Users that are interested in CAMLab-DLSCTutorials are comparing it to the libraries listed below
Sorting:
- ETH Zürich Deep Learning in Scientific Computing Master's course 2023☆115Updated last year
- This repository is the official project page of the course AI in the Sciences and Engineering, ETH Zurich.☆247Updated 2 months ago
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…☆437Updated last month
- Introductory workshop on PINNs using the harmonic oscillator☆126Updated 3 months ago
- ☆327Updated 3 months ago
- Characterizing possible failure modes in physics-informed neural networks.☆137Updated 3 years ago
- ☆218Updated 3 years ago
- ☆360Updated 2 years ago
- ☆170Updated last year
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆238Updated 3 years ago
- Applications of PINOs☆129Updated 2 years ago
- Physics Informed Neural Network (PINN) for the wave equation.☆182Updated 5 years ago
- ☆184Updated 4 months ago
- Tutorials on deep learning, Python, and dissipative particle dynamics☆193Updated 3 years ago
- This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means…☆177Updated 4 years ago
- A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data☆315Updated 2 years ago
- ☆472Updated 4 months ago
- Physics-Informed Neural networks for Advanced modeling☆540Updated this week
- Deep learning for Engineers - Physics Informed Deep Learning☆347Updated last year
- ☆141Updated 9 months ago
- PINNs-TF2, Physics-informed Neural Networks (PINNs) implemented in TensorFlow V2.☆132Updated last year
- Basic implementation of physics-informed neural networks for solving differential equations☆92Updated 7 months ago
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆181Updated 2 years ago
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆203Updated 2 years ago
- This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs☆184Updated 3 months ago
- ☆64Updated 9 months ago
- ☆190Updated 2 years ago
- ☆97Updated 3 years ago
- TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).☆262Updated last year
- Simple PyTorch Implementation of Physics Informed Neural Network (PINN)☆320Updated last year