remcovandermeer / Optimally-Weighted-PINNsLinks
☆42Updated 5 years ago
Alternatives and similar repositories for Optimally-Weighted-PINNs
Users that are interested in Optimally-Weighted-PINNs are comparing it to the libraries listed below
Sorting:
- ☆117Updated 6 years ago
- ☆63Updated 6 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆49Updated 5 years ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- This is the repository for the code used in the ICML23 paper called "Achieving High Accuracy with PINNs via Energy Natural Gradient Desce…☆25Updated last year
- ☆45Updated 3 years ago
- Hidden physics models: Machine learning of nonlinear partial differential equations☆147Updated 5 years ago
- Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)☆59Updated 4 years ago
- Example problems in Physics informed neural network in JAX☆82Updated 2 years ago
- PyTorch-FEniCS interface☆103Updated 4 years ago
- Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…☆116Updated 3 years 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
- Code for the paper: Solving and Learning Nonlinear PDEs with Gaussian Processes☆40Updated 4 months ago
- Pseudospectral Kolmogorov Flow Solver☆41Updated 2 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
- Multi Fidelity Monte Carlo☆24Updated 5 years ago
- Sparse Physics-based and Interpretable Neural Networks☆52Updated 4 years ago
- Dimension reduced surrogate construction for parametric PDE maps☆38Updated 3 months ago
- Source code for deep learning-based reduced order models in cardiac electrophysiology. Available on doi.org/10.1371/journal.pone.0239416.☆15Updated 2 years ago
- Deep learning library for solving differential equations on top of PyTorch.☆62Updated 5 years ago
- Solving PDEs with NNs☆55Updated 2 years ago
- ☆105Updated 4 years ago
- Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data☆150Updated 6 years ago
- Gaussian process-based interpretable latent space dynamics identification through deep autoencoder☆35Updated 2 weeks ago
- ☆54Updated 2 years ago
- Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.☆76Updated last month
- Practicum on Supervised Learning in Function Spaces☆33Updated 3 years ago
- Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems☆30Updated 3 years ago
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆93Updated 2 years ago
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆93Updated 3 years ago