a-tierz / AMB_TINNs_tutorialLinks
☆14Updated last year
Alternatives and similar repositories for AMB_TINNs_tutorial
Users that are interested in AMB_TINNs_tutorial are comparing it to the libraries listed below
Sorting:
- ☆194Updated 6 months ago
- Characterizing possible failure modes in physics-informed neural networks.☆142Updated 3 years ago
- ☆207Updated last year
- This repository is the official project page of the course AI in the Sciences and Engineering, ETH Zurich.☆266Updated 5 months ago
- ETH Zürich Deep Learning in Scientific Computing Master's course 2023☆117Updated last year
- This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means…☆178Updated 4 years ago
- Mechanical-MNIST is a benchmark dataset for mechanical meta-models -- this repository contains code to generate metamodels for Mechanica…☆37Updated 5 years ago
- Code and files related to random side projects☆21Updated 3 years ago
- This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs☆191Updated 5 months ago
- ☆272Updated last year
- ETH Zürich AI in the Sciences and Engineering Master's course 2024☆39Updated last year
- ☆356Updated 3 weeks ago
- ☆64Updated 11 months ago
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆82Updated 4 months ago
- ☆17Updated last year
- Repo to the paper "Message Passing Neural PDE Solvers"☆139Updated last year
- Discovers high dimensional models from 1D data using deep delay autoencoders☆37Updated 2 years ago
- An interpretable data-driven framework for building generative reduced order models with embedded uncertainty quantification☆35Updated 7 months ago
- ☆178Updated last year
- Example problems in Physics informed neural network in JAX☆81Updated 2 years ago
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆155Updated 6 months ago
- Physics-Informed Neural networks for Advanced modeling☆574Updated last week
- Code for the paper "Thermodynamics-informed graph neural networks" published in IEEE Transactions on Artificial Intelligence (TAI).☆104Updated last year
- Introductory workshop on PINNs using the harmonic oscillator☆129Updated 5 months ago
- Implementation of Fourier Neural Operator using PyTorch☆21Updated 3 weeks ago
- ☆225Updated 3 years ago
- ☆116Updated 6 years ago
- ☆370Updated 3 years ago
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…☆457Updated 3 months ago
- Transformers for modeling physical systems☆144Updated 2 years ago