geekyifei / randomized-PINNLinks
Implementations of the "randomize-then-optimize" approach for sampling Bayesian Physics-informed Neural Network posteriors
☆10Updated 2 months ago
Alternatives and similar repositories for randomized-PINN
Users that are interested in randomized-PINN are comparing it to the libraries listed below
Sorting:
- Physcial Informed Extreme Learning Machine(PIELM) method to solve PDEs, such as Possion problem☆13Updated 6 months ago
- Pytorch implementation of Bayesian physics-informed neural networks☆59Updated 3 years ago
- Multi-fidelity regression with neural networks☆13Updated 6 months ago
- Boosting the training of physics informed neural networks with transfer learning☆26Updated 4 years ago
- This project is divided in a two parts. In first study, Lame parameters are identified using tanh activation function. After that, six a…☆11Updated 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
- SK-PINN: Accelerated physics-informed deep learning by smoothing kernel gradients☆18Updated 2 months ago
- Data preprocess method on Physics-informed neural networks☆16Updated 4 months ago
- multi-fidelity neural network☆19Updated last year
- Physics-Informed and Hybrid Machine Learning in Additive Manufacturing: Application to Fused Filament Fabrication☆17Updated 3 years ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆34Updated 2 years ago
- ☆39Updated 2 years ago
- ☆37Updated last year
- Solving a class of elliptic partial differential equations(PDEs) with multiple scales utilizing Fourier-based mixed physics informed neur…☆12Updated last year
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆26Updated 2 years ago
- This is the official implementation of "Deep Fuzzy Physics-Informed Neural Networks for Forward and Inverse PDE Problems" (Neural Network…☆18Updated 2 weeks ago
- Research/development of physics-informed neural networks for dynamic systems☆23Updated 7 months ago
- ☆13Updated 6 months ago
- Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…☆40Updated 2 years ago
- Physics-informed deep learning for structural dynamics under moving load☆14Updated 8 months ago
- Multi-fidelity reduced-order surrogate modeling☆23Updated last week
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆49Updated 4 years ago
- Multi-fidelity probability machine learning☆18Updated 5 months ago
- ☆9Updated 7 months ago
- The code for the paper Temperature field inversion of heat-source systems via physics-informed neural networks☆36Updated 2 years ago
- Multi-fidelity Gaussian Process☆27Updated 4 years ago
- PECANNs: Physics and Equality Constrained Artificial Neural Networks☆22Updated 2 years ago
- ☆19Updated last year
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆26Updated 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