elizqian / operator-inferenceLinks
☆10Updated 2 years ago
Alternatives and similar repositories for operator-inference
Users that are interested in operator-inference are comparing it to the libraries listed below
Sorting:
- Publication of Python code used to train ModalPINN☆11Updated 3 years ago
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆39Updated 3 years ago
- The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…☆19Updated 3 years ago
- ☆15Updated last year
- PyTorch implementation of GMLS-Nets. Machine learning methods for scattered unstructured data sets. Methods for learning differential op…☆27Updated last week
- A Python library for training neural ODEs.☆25Updated 7 months ago
- Distributed Fourier Neural Operators☆30Updated 3 years ago
- The public repository about our joint FINN research project☆38Updated 2 years ago
- Pseudospectral Kolmogorov Flow Solver☆40Updated last year
- Multi Fidelity Monte Carlo☆23Updated 5 years ago
- Datasets and code for results presented in the ProbConserv paper☆56Updated last year
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- A library for dimensionality reduction on spatial-temporal PDE☆67Updated last year
- Learning Green's functions of partial differential equations with deep learning.☆71Updated last year
- ☆54Updated 2 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…☆21Updated 4 years ago
- Deep learning framework for model reduction of dynamical systems☆21Updated 4 years ago
- Convolutional Solvers for Partial Differential Equations☆27Updated 5 years ago
- ☆35Updated 2 years ago
- An unofficial implementation of the Fourier Neural Operator in Flax☆18Updated last year
- ☆44Updated 2 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
- ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis☆55Updated 2 years ago
- ☆15Updated last year
- Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning☆16Updated last year
- Nonlinear proper orthogonal decomposition for convection-dominated flows☆14Updated 3 years ago
- ☆39Updated 2 years ago
- Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems☆36Updated 6 months ago
- Scientific Machine Learning Tutorials☆39Updated 3 years ago
- Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics☆64Updated 3 years ago