zzhang222 / Bayesian-PINN-Pytorch
☆14Updated 2 years ago
Alternatives and similar repositories for Bayesian-PINN-Pytorch:
Users that are interested in Bayesian-PINN-Pytorch are comparing it to the libraries listed below
- Implementing a physics-informed DeepONet from scratch☆34Updated last year
- [AAAI24] LE-PDE-UQ endows deep learning-based surrogate models with robust and efficient uncertainty quantification capabilities for both…☆14Updated 11 months ago
- Physics Informed Fourier Neural Operator☆18Updated 3 months ago
- Pytorch implementation of Bayesian physics-informed neural networks☆50Updated 3 years ago
- ☆30Updated last year
- ☆24Updated last year
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆47Updated 4 years ago
- Research project conducted at Pacific Northwest National Laboratory, exploring the use of physics-informed autoencoders to predict fluid …☆33Updated 2 years ago
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆25Updated 3 years ago
- The public repository about our joint FINN research project☆36Updated 2 years ago
- when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/1…☆63Updated 2 years ago
- ☆33Updated 7 months ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆24Updated 3 years ago
- Differential equation neural operator☆20Updated last year
- Consistent Koopman Autoencoders☆70Updated last year
- Semi-supervised Invertible Neural Operators for Bayesian Inverse Problems☆13Updated 8 months ago
- ☆37Updated 2 years ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆56Updated 6 months ago
- Deep learning assisted dynamic mode decomposition☆19Updated 3 years ago
- Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting☆42Updated last year
- ☆31Updated last year
- ☆13Updated 3 years ago
- Boosting the training of physics informed neural networks with transfer learning☆26Updated 3 years ago
- Practicum on Supervised Learning in Function Spaces☆32Updated 3 years ago
- ☆45Updated last year
- One-Shot Transfer Learning of PINNs☆10Updated last year
- ☆41Updated 4 years ago
- Code for reproducing the paper: RANG: A Residual-based Adaptive Node Generation Method for Physics-Informed Neural Networks☆12Updated 2 years ago