mroberto166 / CAMLab-DLSCTutorials
☆190Updated 7 months ago
Alternatives and similar repositories for CAMLab-DLSCTutorials:
Users that are interested in CAMLab-DLSCTutorials are comparing it to the libraries listed below
- ETH Zürich Deep Learning in Scientific Computing Master's course 2023☆107Updated 7 months ago
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…☆365Updated 3 months ago
- ☆326Updated 2 years ago
- PINNs-TF2, Physics-informed Neural Networks (PINNs) implemented in TensorFlow V2.☆105Updated 10 months ago
- This repository is the official project page of the course AI in the Sciences and Engineering, ETH Zurich.☆188Updated 3 months ago
- ☆157Updated last year
- ☆194Updated 3 years ago
- ☆277Updated last week
- Introductory workshop on PINNs using the harmonic oscillator☆109Updated 2 years ago
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆169Updated 2 years ago
- DeepONet & FNO (with practical extensions)☆272Updated last year
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆212Updated 3 years ago
- ☆412Updated last year
- Physics Informed Neural Network (PINN) for the wave equation.☆154Updated 4 years ago
- Characterizing possible failure modes in physics-informed neural networks.☆128Updated 3 years ago
- TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).☆256Updated last year
- Physics-Informed Neural networks for Advanced modeling☆452Updated this week
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆181Updated 2 years ago
- Applications of PINOs☆119Updated 2 years ago
- ☆169Updated last year
- A place to share problems solved with SciANN☆272Updated last year
- Deep learning for Engineers - Physics Informed Deep Learning☆333Updated last year
- Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.☆297Updated 7 months ago
- ☆130Updated 2 years ago
- Simple PyTorch Implementation of Physics Informed Neural Network (PINN)☆294Updated 8 months ago
- Tutorials on deep learning, Python, and dissipative particle dynamics☆182Updated 2 years ago
- Basic implementation of physics-informed neural networks for solving differential equations☆83Updated 2 months ago
- This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means…☆177Updated 4 years ago
- Physics Informed Machine Learning Tutorials (Pytorch and Jax)☆522Updated 3 weeks ago
- ☆115Updated 5 months ago