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
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆47Updated 4 years ago
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆25Updated 3 years ago
- ☆12Updated 5 years ago
- Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)☆15Updated 3 years ago
- ☆29Updated last year
- ☆12Updated 2 years ago
- ☆24Updated last year
- ☆37Updated 2 years ago
- Pytorch implementation of Bayesian physics-informed neural networks☆49Updated 3 years ago
- Semi-supervised Invertible Neural Operators for Bayesian Inverse Problems☆13Updated 7 months ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆55Updated 5 months ago
- Research project conducted at Pacific Northwest National Laboratory, exploring the use of physics-informed autoencoders to predict fluid …☆33Updated 2 years ago
- [AAAI24] LE-PDE-UQ endows deep learning-based surrogate models with robust and efficient uncertainty quantification capabilities for both…☆14Updated 10 months ago
- Differential equation neural operator☆20Updated last year
- Practicum on Supervised Learning in Function Spaces☆32Updated 2 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆23Updated 3 years ago
- ☆45Updated 5 months ago
- DeepONet extrapolation☆25Updated last year
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆24Updated last year
- Boosting the training of physics informed neural networks with transfer learning☆26Updated 3 years ago
- Multi-fidelity Bayesian Optimization via Deep Neural Nets