giuliamesc / BPINNs
☆18Updated last year
Related projects ⓘ
Alternatives and complementary repositories for BPINNs
- when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/1…☆56Updated 2 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆45Updated 4 years ago
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆24Updated 3 years ago
- Pytorch implementation of Bayesian physics-informed neural networks☆42Updated 3 years ago
- Implementing a physics-informed DeepONet from scratch☆22Updated last year
- ☆39Updated 3 months ago
- Physics Informed Fourier Neural Operator☆17Updated this week
- Boosting the training of physics informed neural networks with transfer learning☆25Updated 3 years ago
- DeepONet extrapolation☆24Updated last year
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆52Updated 3 months ago
- Physics-encoded recurrent convolutional neural network☆41Updated 2 years ago
- ☆85Updated 3 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆21Updated 2 years ago
- POD-PINN code and manuscript☆46Updated 2 weeks ago
- Implementation of fast PINN optimization with RBA weights☆42Updated last month
- PECANNs: Physics and Equality Constrained Artificial Neural Networks☆20Updated last year
- Implementation of PINNs in TensorFlow 2☆71Updated last year
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆61Updated last year
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆28Updated 4 months ago
- Research/development of physics-informed neural networks for dynamic systems☆13Updated this week
- Basic implementation of physics-informed neural networks for solving differential equations☆73Updated last year
- Multifidelity DeepONet☆27Updated last year
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆20Updated last year
- ☆52Updated 2 years ago
- Sparse Physics-based and Interpretable Neural Networks☆46Updated 3 years ago
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆48Updated 3 years ago
- Practicum on Supervised Learning in Function Spaces☆32Updated 2 years ago
- This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Network…☆16Updated 11 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…☆38Updated last year
- Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"☆35Updated last year