isds-neu / PiSLLinks
A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.
☆26Updated 3 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☆46Updated 3 years ago
- Boosting the training of physics informed neural networks with transfer learning☆26Updated 4 years ago
- ☆14Updated 3 years ago
- ☆56Updated 6 months ago
- when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/1…☆74Updated 3 years ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆29Updated last year
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆65Updated 3 months ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆31Updated 3 years ago
- ☆26Updated 3 years ago
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆14Updated last year
- Pytorch implementation of Bayesian physics-informed neural networks☆60Updated 3 years ago
- Theory-guided hard constraint projection (HCP): a knowledge-based data-driven scientific machine learning method☆62Updated 3 years ago
- Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)☆16Updated 4 years ago
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆27Updated 2 years ago
- Research project conducted at Pacific Northwest National Laboratory, exploring the use of physics-informed autoencoders to predict fluid …☆36Updated 2 years ago
- ☆20Updated last month
- Physics Informed Fourier Neural Operator☆24Updated 8 months ago
- ☆12Updated 2 years ago
- Solving High Frequency and Multi-Scale PDEs with Gaussian Processes (ICLR 2024)☆23Updated last year
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆49Updated 5 years ago
- Deep learning assisted dynamic mode decomposition☆19Updated 3 years ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆72Updated 2 years ago
- Encoding physics to learn reaction-diffusion processes☆101Updated last year
- The public repository about our joint FINN research project☆38Updated 2 years ago
- ☆19Updated 3 years ago
- Physics-informed learning of governing equations from scarce data☆12Updated 4 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆150Updated last year
- ☆54Updated 2 years ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆37Updated 2 years ago
- An automatic knowledge embedding framework for scientific machine learning☆23Updated 3 years ago