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:
- ☆212Updated last year
- ☆197Updated 8 months ago
- This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means…☆180Updated 4 years ago
- This repository is the official project page of the course AI in the Sciences and Engineering, ETH Zurich.☆311Updated 7 months ago
- Welcome to the CTF for Science Framework, a modular and extensible platform designed for benchmarking modeling methods on dynamic systems…☆32Updated 3 weeks ago
- Characterizing possible failure modes in physics-informed neural networks.☆145Updated 4 years ago
- ☆18Updated last year
- ETH Zürich Deep Learning in Scientific Computing Master's course 2023☆121Updated last year
- ☆70Updated last year
- ETH Zürich AI in the Sciences and Engineering Master's course 2024☆42Updated last year
- Code and files related to random side projects☆21Updated 3 years ago
- ☆384Updated last month
- Introductory workshop on PINNs using the harmonic oscillator☆134Updated 3 weeks ago
- This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs☆198Updated 3 weeks ago
- An interpretable data-driven framework for building generative reduced order models with embedded uncertainty quantification☆35Updated 9 months ago
- ☆232Updated 4 years ago
- ☆186Updated last year
- Example problems in Physics informed neural network in JAX☆82Updated 2 years ago
- Mechanical-MNIST is a benchmark dataset for mechanical meta-models -- this repository contains code to generate metamodels for Mechanica…☆41Updated 5 years ago
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆90Updated last month
- Transformers for modeling physical systems☆145Updated 2 years ago
- ME 539 - Introduction to Scientific Machine Learning☆122Updated 2 weeks ago
- Code for the paper "Thermodynamics-informed graph neural networks" published in IEEE Transactions on Artificial Intelligence (TAI).☆105Updated last year
- ☆105Updated 4 years ago
- ☆118Updated 6 years ago
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…☆496Updated 2 weeks ago
- Introduction to JAX Workshop @ ETH Zurich, 25 June 2024☆39Updated 8 months ago
- ☆50Updated 2 years ago
- Using graph network to solve PDEs☆422Updated 6 months ago
- Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond☆60Updated 4 years ago