geekyifei / randomized-PINN
Implementations of the "randomize-then-optimize" approach for sampling Bayesian Physics-informed Neural Network posteriors
☆8Updated 3 weeks ago
Alternatives and similar repositories for randomized-PINN:
Users that are interested in randomized-PINN are comparing it to the libraries listed below
- Physcial Informed Extreme Learning Machine(PIELM) method to solve PDEs, such as Possion problem☆13Updated 5 months ago
- Multi-fidelity regression with neural networks☆12Updated 5 months ago
- Data preprocess method on Physics-informed neural networks☆15Updated 2 months ago
- SK-PINN: Accelerated physics-informed deep learning by smoothing kernel gradients☆18Updated last month
- Physics-Informed and Hybrid Machine Learning in Additive Manufacturing: Application to Fused Filament Fabrication☆17Updated 3 years ago
- ☆37Updated 2 years ago
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆25Updated 2 years ago
- Boosting the training of physics informed neural networks with transfer learning☆26Updated 3 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
- ☆10Updated 4 years ago
- multi-fidelity neural network☆18Updated last year
- ☆20Updated last year
- Pytorch implementation of Bayesian physics-informed neural networks☆59Updated 3 years ago
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆20Updated 2 years ago
- ☆13Updated 5 months ago
- Tensoflow 2 implementation of physics informed deep learning.☆27Updated 4 years ago
- Solving a class of elliptic partial differential equations(PDEs) with multiple scales utilizing Fourier-based mixed physics informed neur…☆11Updated last year
- ☆14Updated 8 months ago
- Physics-informed deep learning for structural dynamics under moving load☆10Updated 7 months ago
- ☆18Updated last year
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆31Updated 2 years ago
- ☆37Updated last year
- Research/development of physics-informed neural networks for dynamic systems☆20Updated 5 months ago
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆11Updated 10 months ago
- This repository contains the source code for the research presented in the paper "Exploring hidden flow structures from sparse data throu…☆11Updated last year
- Multifidelity DeepONet☆32Updated last year
- ☆8Updated 5 months ago
- ☆23Updated 2 years ago
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆26Updated 3 years ago
- Flow field reconstruction and prediction of the 2D cylinder flow using data-driven physics-informed neural network combined with long sho…☆16Updated 5 months ago