envfluids / py2dLinks
Python 2D Navier-Stokes solver
☆25Updated 4 months ago
Alternatives and similar repositories for py2d
Users that are interested in py2d are comparing it to the libraries listed below
Sorting:
- Pseudospectral Kolmogorov Flow Solver☆41Updated 2 years ago
- Code for the paper "Generative AI for fast and accurate statistical computation of fluids"☆47Updated 4 months ago
- The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…☆19Updated 3 years ago
- Control of 2D Rayleigh Benard Convection using Deep Reinforcement Learning with Tensorforce and Shenfun.☆21Updated 2 years ago
- ☆40Updated 2 years ago
- Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems☆40Updated 9 months ago
- ☆29Updated last year
- KTH-FlowAI / Towards-extraction-of-orthogonal-and-parsimonious-non-linear-modes-from-turbulent-flows☆11Updated 2 years ago
- ☆17Updated last year
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆39Updated 3 years ago
- Turbulent flow network source code☆71Updated 9 months ago
- Deep renormalized Mori-Zwanzig (DrMZ) Julia package.☆17Updated 2 years ago
- Code for "Robust flow field reconstruction from limited measurements vis sparse representation" (J. Callaham, K. Maeda, and S. Brunton 20…☆14Updated 7 years ago
- Multi-fidelity Generative Deep Learning Turbulent Flows☆37Updated 4 years ago
- Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]☆33Updated 2 years ago
- Numerical assessments of a nonintrusive surrogate model based on recurrent neural networks and proper orthogonal decomposition: Rayleigh …☆10Updated 3 years ago
- The public repository about our joint FINN research project☆37Updated 3 years ago
- This codes calculates the dimensionalized POD and uses SINDy from the PySINDy python package to build a data-driven model for it. The cod…☆22Updated 4 years ago
- A Python library for training neural ODEs.☆26Updated 10 months ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated 2 years ago
- ☆14Updated last year
- This repository contains the files used in the paper " Reduced-order Model for Fluid Flows via Neural Ordinary Differential Equations"☆19Updated 2 years ago
- Nonlinear proper orthogonal decomposition for convection-dominated flows☆15Updated 4 years ago
- ☆19Updated 5 years ago
- Generative Adversarial Networks are used to super resolve turbulent flow fields from low resolution (RANS/LES) fields to high resolution …☆23Updated 4 years ago
- ☆13Updated 6 years ago
- a multiresolution convolutional autoencoder architecture☆23Updated 4 years ago
- ☆45Updated 3 years ago
- A library for dimensionality reduction on spatial-temporal PDE☆70Updated last year
- Dimension reduced surrogate construction for parametric PDE maps☆38Updated 4 months ago