Crunch-UQ4MI / neuraluq
☆177Updated 3 weeks ago
Alternatives and similar repositories for neuraluq:
Users that are interested in neuraluq are comparing it to the libraries listed below
- Characterizing possible failure modes in physics-informed neural networks.☆134Updated 3 years ago
- ☆200Updated 3 years ago
- Physics-informed learning of governing equations from scarce data☆140Updated last year
- ☆161Updated last year
- ☆134Updated 2 years ago
- This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs☆166Updated 6 months ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆70Updated last year
- PINNs-TF2, Physics-informed Neural Networks (PINNs) implemented in TensorFlow V2.☆113Updated 11 months ago
- Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data☆147Updated 5 years ago
- ☆334Updated 2 years ago
- ETH Zürich Deep Learning in Scientific Computing Master's course 2023☆109Updated 9 months ago
- when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/1…☆69Updated 2 years ago
- Pytorch implementation of Bayesian physics-informed neural networks☆57Updated 3 years ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆220Updated 3 years ago
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆139Updated 2 weeks ago
- This repository is the official project page of the course AI in the Sciences and Engineering, ETH Zurich.☆200Updated 4 months ago
- Applications of PINOs☆122Updated 2 years ago
- ☆92Updated 3 years ago
- ☆124Updated 2 years ago
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆190Updated 2 years ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆84Updated 4 years ago
- Implementing a physics-informed DeepONet from scratch☆38Updated last year
- ☆54Updated 2 years ago
- ☆295Updated last month
- ☆124Updated 6 months ago
- ☆62Updated 5 years ago
- ☆116Updated 5 years ago
- hPINN: Physics-informed neural networks with hard constraints☆132Updated 3 years ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆58Updated 8 months ago
- Basic implementation of physics-informed neural networks for solving differential equations☆86Updated 3 months ago