benmoseley / DLSC-2023Links
ETH Zürich Deep Learning in Scientific Computing Master's course 2023
☆113Updated 11 months ago
Alternatives and similar repositories for DLSC-2023
Users that are interested in DLSC-2023 are comparing it to the libraries listed below
Sorting:
- ☆200Updated 10 months ago
- This repository is the official project page of the course AI in the Sciences and Engineering, ETH Zurich.☆233Updated last month
- ☆212Updated 3 years ago
- ☆166Updated last year
- ☆181Updated 2 months ago
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…☆425Updated last month
- ☆313Updated 2 months ago
- ☆349Updated 2 years ago
- Implementing a physics-informed DeepONet from scratch☆41Updated last year
- ☆97Updated 3 years ago
- ETH Zürich AI in the Sciences and Engineering Master's course 2024☆38Updated 11 months ago
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆178Updated 2 years ago
- A place to share problems solved with SciANN☆281Updated last year
- This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means…☆176Updated 4 years ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆232Updated 3 years ago
- when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/1…☆70Updated 2 years ago
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆197Updated 2 years ago
- Applications of PINOs☆126Updated 2 years ago
- Physics-informed learning of governing equations from scarce data☆145Updated last year
- Original implementation of fast PINN optimization with RBA weights☆56Updated 2 months ago
- PINNs-TF2, Physics-informed Neural Networks (PINNs) implemented in TensorFlow V2.☆126Updated last year
- ☆143Updated 2 years ago
- ☆134Updated 8 months ago
- Physics Informed Neural Network (PINN) for the wave equation.☆175Updated 4 years ago
- Generative Pre-Trained Physics-Informed Neural Networks Implementation☆97Updated 4 months ago
- Introductory workshop on PINNs using the harmonic oscillator☆124Updated last month
- Characterizing possible failure modes in physics-informed neural networks.☆136Updated 3 years ago
- Basic implementation of physics-informed neural networks for solving differential equations☆89Updated 6 months ago
- Deep learning for Engineers - Physics Informed Deep Learning☆339Updated last year
- DeepONet & FNO (with practical extensions)☆306Updated last year