geekyifei / randomized-PINNView external linksLinks
Implementations of the "randomize-then-optimize" approach for sampling Bayesian Physics-informed Neural Network posteriors
☆14Apr 12, 2025Updated 10 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:
- Official Implementation of "AIVT: Inference of turbulent thermal convection from measured 3D velocity data by physics-informed Kolmogorov…☆16Oct 10, 2025Updated 4 months ago
- Solving a class of elliptic partial differential equations(PDEs) with multiple scales utilizing Fourier-based mixed physics informed neur…☆15Apr 12, 2024Updated last year
- This project is divided in a two parts. In first study, Lame parameters are identified using tanh activation function. After that, six a…☆13Nov 17, 2022Updated 3 years ago
- Variational Physic-informed Neural Operator (VINO) for Learning Partial Differential Equations☆29Sep 21, 2025Updated 4 months ago
- 🏔️ PINNACLE: PINN Adaptive ColLocation and Experimental points selection☆27Jul 26, 2024Updated last year
- ☆24Dec 21, 2023Updated 2 years ago
- Code for paper "Beyond Closure Models: Learning Chaotic Systems via Physics-Informed Neural Operators".☆14Dec 24, 2025Updated last month
- ☆27Oct 21, 2024Updated last year
- Data preprocess method on Physics-informed neural networks☆28Feb 21, 2025Updated 11 months ago
- This repository contains the source code for the research presented in the paper "Exploring hidden flow structures from sparse data throu…☆12Dec 4, 2023Updated 2 years ago
- ☆12Dec 13, 2024Updated last year
- Physcial Informed Extreme Learning Machine(PIELM) method to solve PDEs, such as Possion problem☆17Dec 6, 2024Updated last year
- Tensoflow 2 implementation of physics informed deep learning.☆27Sep 12, 2020Updated 5 years ago
- Bayesian optimized physics-informed neural network for parameter estimation☆33Nov 20, 2024Updated last year
- ☆13Dec 5, 2022Updated 3 years ago
- ☆17Aug 13, 2024Updated last year
- Repository outlining functions and tests for automatic regression of governing equations (ARGOS)☆18Jan 11, 2024Updated 2 years ago
- Code accompanying the manuscript "Augmented Physics-Informed Neural Networks (APINNs): A gating network-based soft domain decomposition m…☆16Sep 18, 2023Updated 2 years ago
- A minimal implementation of Physics-Informed Neural Networks (PINNs) in PyTorch☆21Nov 15, 2023Updated 2 years ago
- Code of the publication "Physics informed neural networks for continuum micromechanics" published in https://doi.org/10.1016/j.cma.2022.1…☆19Jul 28, 2022Updated 3 years ago
- ☆12Aug 22, 2025Updated 5 months ago
- Implementation of Dabrowski et. al., "Bayesian Physics Informed Neural Networks for Data Assimilation and Spatio-Temporal Modelling of Wi…☆25Apr 2, 2024Updated last year
- SK-PINN: Accelerated physics-informed deep learning by smoothing kernel gradients☆24Apr 7, 2025Updated 10 months ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆77Aug 4, 2023Updated 2 years ago
- Constitutive modeling · Deep learning · History-dependent materials · Recurrent neural networks · Viscoelasticity☆19Mar 20, 2025Updated 10 months ago
- This is the official implementation of "Deep Fuzzy Physics-Informed Neural Networks for Forward and Inverse PDE Problems" (Neural Network…☆27Oct 14, 2025Updated 4 months ago
- ☆23Jul 25, 2024Updated last year
- Deep finite volume method☆21Jun 26, 2024Updated last year
- ☆14Mar 23, 2021Updated 4 years ago
- Super-resolution and denoising of fluid flow using physics-informed convolutional neural networks without high-resolution labels -- param…☆23Aug 2, 2021Updated 4 years ago
- A curated list of awesome engineer design papers, including airfoil design, 3D print, CAD design☆25Sep 27, 2024Updated last year
- All-KAN: All Kolmogorov-Arnold Networks We Know☆30Jan 9, 2026Updated last month
- Solving High Frequency and Multi-Scale PDEs with Gaussian Processes (ICLR 2024)☆25Jun 7, 2024Updated last year
- ☆29Mar 14, 2025Updated 11 months ago
- Learning two-phase microstructure evolution using neural operators and autoencoder architectures☆26Apr 25, 2024Updated last year
- STEM: Numerical model to simulate railway induced vibrations☆15Updated this week
- [NeurIPS 2024] AFBench: A Large-scale Benchmark for Airfoil Design☆30Sep 26, 2024Updated last year
- Code repo for CoNFiLD: Conditional Neural Field Latent Diffusion Model Generating Spatiotemporal Turbulence☆81Feb 19, 2025Updated 11 months ago
- ☆30Feb 17, 2024Updated last year