mroberto166 / MultilevelMachineLearningLinks
☆10Updated 6 years ago
Alternatives and similar repositories for MultilevelMachineLearning
Users that are interested in MultilevelMachineLearning are comparing it to the libraries listed below
Sorting:
- ☆26Updated 7 years ago
- ☆70Updated last year
- Machine learning of linear differential equations using Gaussian processes☆25Updated 7 years ago
- ☆63Updated 6 years ago
- Sparse Physics-based and Interpretable Neural Networks☆52Updated 4 years ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Updated 2 years ago
- Python Active-subspaces Utility Library☆76Updated 5 years ago
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆21Updated 2 years ago
- Update PDEKoopman code to Tensorflow 2☆23Updated 4 years ago
- This code implements the Tensor Basis Neural Network (TBNN) as described in Ling et al. (Journal of Fluid Mechanics, 2016).☆42Updated 7 years ago
- Solve the 1D forced Burgers equation with high order finite elements and finite difference schemes.☆26Updated 3 years ago
- Neural Network Approach for Data-Driven Constitutive Modeling☆42Updated 3 years ago
- Dimension reduced surrogate construction for parametric PDE maps☆38Updated 4 months 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…☆22Updated 4 years ago
- Source code for deep learning-based reduced order models for nonlinear time-dependent parametrized PDEs. Available on doi.org/10.1007/s10…☆25Updated 2 years ago
- DeepGreen network written in Tensorflow 2☆30Updated 4 years ago
- Convolutional Solvers for Partial Differential Equations☆27Updated 5 years 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
- Hidden physics models: Machine learning of nonlinear partial differential equations☆147Updated 5 years ago
- ☆20Updated 5 months ago
- Deep learning framework for model reduction of dynamical systems☆21Updated 4 years ago
- redbKIT is a MATLAB library for reduced-order modeling of parametrized PDEs☆64Updated last year
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated 2 years ago
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆93Updated 3 years ago
- RBniCS - reduced order modelling in FEniCS (legacy)☆114Updated 9 months ago
- Deep Learning of Turbulent Scalar Mixing☆17Updated 6 years ago
- Spectral Methods in Python☆60Updated 7 months ago
- Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…☆34Updated 2 years ago
- PyTorch-FEniCS interface☆103Updated 4 years ago