isds-neu / PiSLLinks
A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.
☆27Updated 4 years ago
Alternatives and similar repositories for PiSL
Users that are interested in PiSL are comparing it to the libraries listed below
Sorting:
- Physics-encoded recurrent convolutional neural network☆47Updated 3 years ago
- ☆14Updated 3 years ago
- when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/1…☆81Updated 3 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆49Updated 5 years ago
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆19Updated last year
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆75Updated 2 years ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆75Updated 7 months ago
- Boosting the training of physics informed neural networks with transfer learning☆27Updated 4 years ago
- Encoding physics to learn reaction-diffusion processes☆108Updated 2 years ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆32Updated 2 years ago
- Physics Informed Fourier Neural Operator☆23Updated last year
- ☆26Updated 3 years ago
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆28Updated 2 years ago
- ☆40Updated 2 years ago
- ☆34Updated 3 years ago
- Pytorch implementation of Bayesian physics-informed neural networks☆67Updated 4 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆163Updated last year
- ☆65Updated 3 months ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆38Updated 2 years ago
- PDE Preserved Neural Network☆58Updated 6 months ago
- Theory-guided hard constraint projection (HCP): a knowledge-based data-driven scientific machine learning method☆63Updated 3 years ago
- ☆24Updated 5 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…☆42Updated 2 years ago
- ☆131Updated 3 years ago
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆21Updated 2 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆30Updated 3 years ago
- ☆29Updated 3 years ago
- An automatic knowledge embedding framework for scientific machine learning☆23Updated 3 years ago
- Sparse Physics-based and Interpretable Neural Networks☆52Updated 4 years ago
- Code for Rice et al. 2020 "Analyzing Koopman approaches to physics-informed machine learning for long-term sea-surface temperature forcea…☆36Updated 2 months ago