PhIMaL / DeePyMoDLinks
☆47Updated last year
Alternatives and similar repositories for DeePyMoD
Users that are interested in DeePyMoD are comparing it to the libraries listed below
Sorting:
- A library for dimensionality reduction on spatial-temporal PDE☆66Updated last year
- Sparse Physics-based and Interpretable Neural Networks☆50Updated 3 years ago
- PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning☆36Updated 3 years ago
- The public repository about our joint FINN research project☆36Updated 2 years ago
- Competitive Physics Informed Networks☆30Updated 9 months ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆49Updated 4 years ago
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆26Updated 3 years ago
- DeepONet extrapolation☆27Updated 2 years ago
- ☆13Updated 5 years ago
- ☆33Updated last year
- Pseudospectral Kolmogorov Flow Solver☆40Updated last year
- ☆53Updated 2 years ago
- Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]☆32Updated last year
- ☆38Updated last year
- ☆116Updated 5 years ago
- Physics-encoded recurrent convolutional neural network☆46Updated 3 years ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆35Updated this week
- ☆41Updated 5 years ago
- Dimensionless learning codes for our paper called "Data-driven discovery of dimensionless numbers and governing laws from scarce measurem…☆37Updated last year
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆62Updated 2 months ago
- when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/1…☆70Updated 2 years ago
- One-Shot Transfer Learning of PINNs☆11Updated 2 years ago
- ☆63Updated 5 years ago
- Interpretable machine learning (symbolic regression) using Genetic programming/Gene expression programming and Sparse regression used …☆33Updated 4 years ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆69Updated last year
- Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics☆59Updated 3 years ago
- Applications of PINOs☆126Updated 2 years ago
- Semi-supervised Invertible Neural Operators for Bayesian Inverse Problems☆13Updated last year
- ☆97Updated 3 years ago
- Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)☆56Updated 4 years ago