dubourg / python-randomfieldsLinks
A Python module that implements tools for the simulation and identification of random fields using the Karhunen-Loeve expansion representation.
☆24Updated 9 years ago
Alternatives and similar repositories for python-randomfields
Users that are interested in python-randomfields are comparing it to the libraries listed below
Sorting:
- Generator of 2D gaussian random fields☆54Updated 3 years ago
- Neural operator learning of heterogeneous mechanobiological insults contributing to aortic aneurysms☆12Updated last year
- DeepGreen network written in Tensorflow 2☆31Updated 4 years ago
- ☆24Updated 2 years ago
- NodeLab is a simple MATLAB-repository for node-generation and adaptive refinement for testing, and implementing various meshfree methods …☆32Updated 11 months ago
- Dimension reduced surrogate construction for parametric PDE maps☆39Updated 5 months ago
- Sparse Physics-based and Interpretable Neural Networks☆52Updated 4 years ago
- Implementation of 'Physics-Informed Neural Networks for Shell Structures' (European Journal of Mechanics A)☆45Updated last year
- ☆15Updated 5 years ago
- A Matlab toolbox for stochastic response analysis by DR-PDEE/GE-GDEE☆30Updated last month
- Source code for deep learning-based reduced order models for nonlinear time-dependent parametrized PDEs. Available on doi.org/10.1007/s10…☆27Updated 2 years ago
- Neural Network Approach for Data-Driven Constitutive Modeling☆42Updated 4 years ago
- Multi-fidelity reduced-order surrogate modeling☆31Updated 7 months ago
- Dimensionless learning☆42Updated last week
- ☆40Updated 2 years ago
- Adaptive phase field modeling of fracture using deep energy minimization.☆39Updated 4 years ago
- Variational Physic-informed Neural Operator (VINO) for Learning Partial Differential Equations☆29Updated 4 months ago
- ☆46Updated 2 years ago
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆21Updated 2 years ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆92Updated 5 years ago
- Prediction and control of fracture paths in disordered architected materials using graph neural networks☆12Updated 2 years ago
- Code for the paper: Solving and Learning Nonlinear PDEs with Gaussian Processes☆40Updated 6 months ago
- Matlab code to generate stationary Gaussian random field☆30Updated 6 years ago
- Machine learning of linear differential equations using Gaussian processes☆26Updated 7 years ago
- Physics-informed radial basis network☆36Updated last year
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆87Updated 5 months ago
- First order Scaled buondry finite element method for 2D elastic problems☆15Updated 9 months ago
- ☆63Updated 6 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆50Updated 5 years ago
- This is the implementation of the PI-UNet for HSL-TFP☆26Updated 2 years ago