xiaoyuxie-vico / PyDimensionLinks
Dimensionless learning
☆42Updated 2 weeks ago
Alternatives and similar repositories for PyDimension
Users that are interested in PyDimension are comparing it to the libraries listed below
Sorting:
- Multi-fidelity reduced-order surrogate modeling☆31Updated 7 months ago
- Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of n…☆39Updated 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
- This repository contains the files used in the paper " Reduced-order Model for Fluid Flows via Neural Ordinary Differential Equations"☆20Updated 2 years ago
- Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics☆67Updated 3 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆50Updated 5 years ago
- Tensoflow 2 implementation of physics informed deep learning.☆27Updated 5 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…☆43Updated 3 years ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆37Updated 2 months ago
- Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" …☆34Updated 3 years ago
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆29Updated 4 years ago
- ☆40Updated 2 years ago
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆30Updated last year
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆77Updated 2 years ago
- Sparse Physics-based and Interpretable Neural Networks☆52Updated 4 years ago
- POD-PINN code and manuscript☆57Updated last year
- ☆45Updated 3 years ago
- Implementation of 'Physics-Informed Neural Networks for Shell Structures' (European Journal of Mechanics A)☆45Updated last year
- Rheology-informed Machine Learning Projects☆23Updated last year
- Interpretable machine learning (symbolic regression) using Genetic programming/Gene expression programming and Sparse regression used …☆35Updated 5 years ago
- XPINN code written in TensorFlow 2☆28Updated 3 years ago
- This repository comprises Jupyter Notebooks that serve as supplementary material to the journal article titled "Review of Multifidelity M…☆12Updated 2 years ago
- Competitive Physics Informed Networks☆32Updated last year
- MIONet: Learning multiple-input operators via tensor product☆44Updated 3 years ago
- A novel DeepONet architecture that is specifically designed for generating predictions on different 3D geometries discretized by differen…☆24Updated last year
- Simplified implementation of locally adaptive activation functions (LAAF) with slope recovery for deep and physics-informed neural networ…☆31Updated 4 years ago
- PINNs for 2D Incompressible Navier-Stokes Equation☆58Updated last year
- ☆54Updated 3 years ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆25Updated 2 years ago
- This repository contains code, which was used to generate large-scale results in the HINTS paper.☆36Updated last year