mahindrautela / BOPINNLinks
Bayesian optimized physics-informed neural network for parameter estimation
☆29Updated 6 months ago
Alternatives and similar repositories for BOPINN
Users that are interested in BOPINN are comparing it to the libraries listed below
Sorting:
- when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/1…☆70Updated 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
- 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
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆49Updated 4 years ago
- Original implementation of fast PINN optimization with RBA weights☆54Updated last month
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆31Updated 3 years ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆35Updated 2 months ago
- Tensoflow 2 implementation of physics informed deep learning.☆27Updated 4 years ago
- Pytorch implementation of Bayesian physics-informed neural networks☆59Updated 3 years ago
- ☆97Updated 3 years ago
- This codes calculates the dimensionalized POD and uses SINDy from the PySINDy python package to build a data-driven model for it. The cod…☆20Updated 4 years ago
- To address some of the failure modes in training of physics informed neural networks, a Lagrangian architecture is designed to conform to…☆49Updated 2 years ago
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆26Updated 3 years ago
- Physics Informed Neural Networks (PINNs) + SPINNs + HyperPINNs + Adaptative Loss Weights with JAX 📓 Check out our various notebooks to g…☆31Updated this week
- Multifidelity DeepONet☆33Updated last year
- Sparse Physics-based and Interpretable Neural Networks☆50Updated 3 years ago
- Physics Informed Neural Network (PINN) for Burgers' equation.☆70Updated 9 months ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆69Updated last year
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆11Updated 11 months ago
- POD-PINN code and manuscript