camlab-ethz / AI_Science_Engineering
This repository is the official project page of the course AI in the Sciences and Engineering, ETH Zurich.
☆188Updated 3 months ago
Alternatives and similar repositories for AI_Science_Engineering:
Users that are interested in AI_Science_Engineering are comparing it to the libraries listed below
- ☆190Updated 7 months ago
- ETH Zürich Deep Learning in Scientific Computing Master's course 2023☆107Updated 7 months ago
- ☆323Updated 2 years ago
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆138Updated 3 months 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
- ☆277Updated last week
- ☆157Updated last year
- DeepONet & FNO (with practical extensions)☆272Updated last year
- This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs☆156Updated 5 months ago
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…☆362Updated 3 months ago
- Applications of PINOs☆119Updated 2 years ago
- Characterizing possible failure modes in physics-informed neural networks.☆128Updated 3 years ago
- ☆115Updated 5 months ago
- PINNs-TF2, Physics-informed Neural Networks (PINNs) implemented in TensorFlow V2.☆105Updated 9 months ago
- ☆169Updated last year
- ☆193Updated 3 years ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆212Updated 3 years ago
- Physics-Informed Neural networks for Advanced modeling☆452Updated this week
- ☆412Updated last year
- Tutorials on deep learning, Python, and dissipative particle dynamics☆180Updated 2 years ago
- A place to share problems solved with SciANN☆272Updated last year
- Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose☆47Updated 2 years ago
- PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations☆88Updated 2 years ago
- Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.☆297Updated 7 months ago
- Geometry-Aware Fourier Neural Operator (Geo-FNO)☆215Updated last year
- ETH Zürich AI in the Sciences and Engineering Master's course 2024☆29Updated 7 months ago
- Physics Informed Neural Network (PINN) for the wave equation.☆154Updated 4 years ago
- ☆130Updated 2 years ago
- ☆106Updated last month
- ☆54Updated 4 months ago