IRT-SystemX / ml4physim_startingkitLinks
☆11Updated last year
Alternatives and similar repositories for ml4physim_startingkit
Users that are interested in ml4physim_startingkit are comparing it to the libraries listed below
Sorting:
- Using NVIDIA modulus for airfoil optimizations at different angles.☆25Updated 2 years ago
- ☆55Updated 2 years ago
- Multi-fidelity Generative Deep Learning Turbulent Flows☆37Updated 4 years ago
- Example problems in Physics informed neural network in JAX☆82Updated 2 years ago
- Gaussian process-based interpretable latent space dynamics identification through deep autoencoder☆35Updated last month
- ☆14Updated 3 years ago
- Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.☆77Updated 2 months ago
- A Python package for spectral proper orthogonal decomposition (SPOD).☆115Updated 3 weeks ago
- Pseudospectral Kolmogorov Flow Solver☆41Updated 2 years ago
- In this repository, you will find the different python scripts to train the available models on the AirfRANS dataset proposed at the Neur…☆57Updated last year
- Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" …☆33Updated 3 years ago
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆93Updated 3 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆50Updated 5 years ago
- Easy Reduced Basis method☆92Updated this week
- Hidden physics models: Machine learning of nonlinear partial differential equations☆148Updated 5 years ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- ☆118Updated 6 years ago
- Data-driven Reynolds stress modeling with physics-informed machine learning☆95Updated 6 years ago
- Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)☆62Updated 5 years ago
- A multi-agent reinforcement learning environment to design and benchmark control strategies aimed at reducing drag in turbulent open chan…☆65Updated last year
- Simple OOP Python Code to run some Pseudo-Spectral 2D Simulations of Turbulence☆70Updated 2 years ago
- Applications of PINOs☆143Updated 3 years ago
- Deep learning framework for model reduction of dynamical systems☆21Updated 5 years ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆91Updated 4 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
- Update PDEKoopman code to Tensorflow 2☆23Updated 4 years ago
- Uncertainty Quantification of RANS Data-Driven Turbulence Modeling☆62Updated 5 years ago
- PySpectral is a Python package for solving the partial differential equation (PDE) of Burgers' equation in its deterministic and stochast…☆15Updated 2 years ago
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆93Updated 2 years ago
- Control of 2D Rayleigh Benard Convection using Deep Reinforcement Learning with Tensorforce and Shenfun.☆21Updated 2 years ago