dynamicslab / deep-learning-fluidsLinks
A collection of codes and references for deep learning in fluid dynamics
☆17Updated 3 years ago
Alternatives and similar repositories for deep-learning-fluids
Users that are interested in deep-learning-fluids are comparing it to the libraries listed below
Sorting:
- This codes calculates the dimensionalized POD and uses SINDy from the PySINDy python package to build a data-driven model for it. The cod…☆19Updated 4 years ago
- Deep Learning of Turbulent Scalar Mixing☆17Updated 5 years ago
- Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton☆25Updated 3 years ago
- Sparse Identification of Nonlinear Dynamics for Boundary Value Problems☆12Updated 4 years ago
- Python bindings to pressio☆10Updated 2 years ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…☆19Updated 2 years ago
- Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems☆29Updated 2 years ago
- combination of sparse identification of nonlinear dynamics with Akaike information criteria☆16Updated 7 years ago
- Computation of invariant manifolds in high-dimensional mechanics problems☆25Updated last year
- A MATLAB package for computing the optimized dynamic mode decomposition (DMD)☆18Updated 6 years ago
- Convolutional Solvers for Partial Differential Equations☆28Updated 4 years ago
- Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)☆56Updated 4 years ago
- A set of Python notebooks to introduce the fundamentals of numerical programming using extensive examples from engineering.☆32Updated 4 years ago
- ☆27Updated 5 years ago
- ☆34Updated last month
- From the paper "Dynamic mode decomposition for multiscale nonlinear physics" by Dylewsky, Tao, & Kutz☆11Updated 5 years ago
- Control of 2D Rayleigh Benard Convection using Deep Reinforcement Learning with Tensorforce and Shenfun.☆17Updated last year
- A library of tools for computing variants of Dynamic Mode Decomposition☆47Updated 7 years ago
- Using NVIDIA modulus for airfoil optimizations at different angles.☆22Updated 2 years ago
- Dynamic Mode Decomposition☆59Updated 7 years ago
- Deep learning framework for model reduction of dynamical systems☆21Updated 4 years ago
- A Python library for training neural ODEs.☆21Updated 3 months ago
- Machine learning of linear differential equations using Gaussian processes☆24Updated 7 years ago
- Source code for deep learning-based reduced order models in cardiac electrophysiology. Available on doi.org/10.1371/journal.pone.0239416.☆15Updated last year
- Notes and examples on how to solve partial differential equations with numerical methods, using Python.☆32Updated 2 years ago
- Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.☆72Updated last month
- Spectral solution for 2D Navier-Stokes equations☆14Updated 8 years ago
- ☆24Updated 6 years ago
- Scientific Machine Learning Tutorials☆38Updated 3 years ago