fernexda / cnmLinks
☆19Updated 5 years ago
Alternatives and similar repositories for cnm
Users that are interested in cnm are comparing it to the libraries listed below
Sorting:
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆50Updated 5 years ago
- Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]☆33Updated 2 years ago
- Generative Adversarial Networks are used to super resolve turbulent flow fields from low resolution (RANS/LES) fields to high resolution …☆23Updated 5 years ago
- Update PDEKoopman code to Tensorflow 2☆24Updated 4 years ago
- ☆26Updated 7 years ago
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆29Updated 4 years ago
- Publication of Python code used to train ModalPINN☆11Updated 3 years ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- ☆14Updated 3 years ago
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Updated 2 years ago
- ☆40Updated 2 years 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
- Source code for deep learning-based reduced order models in cardiac electrophysiology. Available on doi.org/10.1371/journal.pone.0239416.☆16Updated 2 years ago
- Multi-fidelity Generative Deep Learning Turbulent Flows☆37Updated 5 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
- Code repository for the paper "Learning partial differential equations for biological transport models from noisy spatiotemporal data"☆10Updated 6 years ago
- Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics☆67Updated 3 years ago
- Control of 2D Rayleigh Benard Convection using Deep Reinforcement Learning with Tensorforce and Shenfun.☆21Updated 2 years ago
- Spanwise-averaged Navier–Stokes modelling through convolutional neural network☆14Updated last year
- Interpretable machine learning (symbolic regression) using Genetic programming/Gene expression programming and Sparse regression used …☆35Updated 4 years ago
- KTH-FlowAI / Towards-extraction-of-orthogonal-and-parsimonious-non-linear-modes-from-turbulent-flows☆11Updated 2 years ago
- Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)☆62Updated 5 years ago
- Pseudospectral Kolmogorov Flow Solver☆41Updated 2 years ago
- Data-driven Identification of 2D Partial Differential Equations using Extracted Physical Features☆12Updated 4 years ago
- a multiresolution convolutional autoencoder architecture☆23Updated 4 years ago
- ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis☆56Updated 2 years ago
- The public repository about our joint FINN research project☆38Updated 3 years ago
- Nonlinear proper orthogonal decomposition for convection-dominated flows☆15Updated 4 years ago
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆21Updated 2 years ago
- A Python library for training neural ODEs.☆26Updated 11 months ago