WeihengZ / PI-VAE
implementation of physics-informed variational auto-encoder
☆14Updated last year
Alternatives and similar repositories for PI-VAE:
Users that are interested in PI-VAE are comparing it to the libraries listed below
- when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/1…☆69Updated 2 years ago
- Physics Informed Fourier Neural Operator☆20Updated 5 months ago
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆25Updated 3 years ago
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆10Updated 10 months ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆58Updated 8 months ago
- ☆28Updated last year
- Pytorch implementation of Bayesian physics-informed neural networks☆57Updated 3 years ago
- ☆23Updated 2 years ago
- PECANNs: Physics and Equality Constrained Artificial Neural Networks☆21Updated last year
- ☆28Updated 2 years ago
- Implementing a physics-informed DeepONet from scratch☆38Updated last year
- ☆53Updated 2 years ago
- PDE Preserved Neural Network☆46Updated 9 months ago
- ☆49Updated 3 months ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆48Updated 4 years ago
- DeepONet extrapolation☆27Updated last year
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆20Updated 2 years ago
- ☆8Updated 4 months ago
- Physcial Informed Extreme Learning Machine(PIELM) method to solve PDEs, such as Possion problem☆13Updated 4 months ago
- Physics-encoded recurrent convolutional neural network☆46Updated 3 years ago
- Boosting the training of physics informed neural networks with transfer learning☆26Updated 3 years ago
- POD-PINN code and manuscript☆51Updated 5 months ago
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆25Updated 3 months ago
- ☆11Updated 2 years ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆70Updated last year
- ☆53Updated 2 years ago
- This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Network…☆18Updated last year
- Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"☆42Updated last year
- Transformed Generative Pre-Trained Physics-Informed Neural Networks (TGPT-PINN), a framework that extends Physics-Informed Neural Network…☆15Updated last year
- MIONet: Learning multiple-input operators via tensor product☆33Updated 2 years ago