dynamicslab / deep-learning-fluidsLinks
A collection of codes and references for deep learning in fluid dynamics
☆18Updated 4 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…☆20Updated 4 years ago
- Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton☆26Updated 3 years ago
- Solve the advection diffusion equations looped into an optimization problem with JAX/autodiff☆12Updated 3 months ago
- ☆54Updated 2 years ago
- Generalized sparse regression for continuous and discrete data☆11Updated 2 weeks ago
- Notes and examples on how to solve partial differential equations with numerical methods, using Python.☆36Updated 2 years ago
- Scientific Machine Learning Tutorials☆39Updated 3 years ago
- A short course in pseudospectral collocation methods for wave equations, with implementations in Python.☆56Updated 3 months ago
- Convolutional Solvers for Partial Differential Equations☆28Updated 5 years ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- Physics Informed Sparse Identification of Nonlinear Dynamics☆10Updated 7 months ago
- Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems☆63Updated 5 years ago
- Update PDEKoopman code to Tensorflow 2☆23Updated 4 years ago
- Sparse Identification of Nonlinear Dynamics for Boundary Value Problems☆13Updated 4 years ago
- Gaussian process-based interpretable latent space dynamics identification through deep autoencoder☆34Updated last week
- Deep Learning of Turbulent Scalar Mixing☆17Updated 5 years ago
- Nonlinear proper orthogonal decomposition for convection-dominated flows☆14Updated 3 years ago
- This repo contains the code for solving Poisson Equation using Physics Informed Neural Networks☆18Updated 3 years ago
- Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems☆30Updated 3 years ago
- Scaling RLLib for generic simulation environments on Theta☆20Updated 2 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
- Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)☆57Updated 4 years ago
- A set of Python notebooks to introduce the fundamentals of numerical programming using extensive examples from engineering.☆34Updated 4 years ago
- Compressible Euler equations solved with finite volume implemented in JAX, plugged into an optimization loop☆21Updated 3 months ago
- ☆17Updated 8 months ago
- Computation of invariant manifolds in high-dimensional mechanics problems☆25Updated 2 years ago
- A JAX-based adaptive mesh refinement framework☆13Updated 2 weeks ago
- Using NVIDIA modulus for airfoil optimizations at different angles.☆23Updated 2 years ago
- Publication of Python code used to train ModalPINN☆11Updated 3 years ago
- Introduction to JAX Workshop @ ETH Zurich, 25 June 2024☆36Updated 4 months ago