shawnrosofsky / HAL-Physics-Informed-AI-TutorialLinks
☆16Updated 4 years ago
Alternatives and similar repositories for HAL-Physics-Informed-AI-Tutorial
Users that are interested in HAL-Physics-Informed-AI-Tutorial are comparing it to the libraries listed below
Sorting:
- Learning Green's functions of partial differential equations with deep learning.☆71Updated last year
- Physics Constrained Neural Networks☆13Updated 2 years ago
- The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…☆19Updated 3 years ago
- ☆15Updated 2 years ago
- A minimal implementation of Physics-Informed Neural Networks (PINNs) in PyTorch☆20Updated 2 years ago
- Official repo for separable operator networks -- extreme-scale operator learning for parametric PDEs.☆37Updated last year
- The public repository about our joint FINN research project☆38Updated 3 years ago
- ☆10Updated 2 years ago
- a multiresolution convolutional autoencoder architecture☆23Updated 4 years ago
- Gaussian process-based interpretable latent space dynamics identification through deep autoencoder☆35Updated 3 weeks ago
- Pseudospectral Kolmogorov Flow Solver☆41Updated 2 years ago
- ☆14Updated 4 years ago
- ☆20Updated last week
- Bayesian optimized physics-informed neural network for parameter estimation☆33Updated last year
- A Python library for training neural ODEs.☆25Updated 10 months ago
- ☆44Updated 3 years ago
- ☆35Updated 3 years ago
- ☆16Updated last year
- ☆10Updated 2 years ago
- Practicum on Supervised Learning in Function Spaces☆33Updated 3 years ago
- Simplified implementation of locally adaptive activation functions (LAAF) with slope recovery for deep and physics-informed neural networ…☆31Updated 4 years ago
- Python script solving the Burgers' equation (équation de Burgers) 1D by using FFT pseudo-spectral method.☆29Updated 4 years ago
- Generator of 2D gaussian random fields☆52Updated 3 years ago
- ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis☆55Updated 2 years ago
- Introduction to JAX Workshop @ ETH Zurich, 25 June 2024☆39Updated 7 months ago
- ☆55Updated 2 years ago
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆19Updated last year
- Physics-informed neural networks☆16Updated 5 years ago
- ☆10Updated 2 years ago
- A library for dimensionality reduction on spatial-temporal PDE☆70Updated last year