thunil / Deep-Flow-PredictionLinks
A framework for fluid flow (Reynolds-averaged Navier Stokes) predictions with deep learning
☆320Updated 2 years ago
Alternatives and similar repositories for Deep-Flow-Prediction
Users that are interested in Deep-Flow-Prediction are comparing it to the libraries listed below
Sorting:
- This repo contains some tutorial type programs showing some basic ways machine learning can be applied to CFD.☆297Updated 5 years ago
- Hidden Fluid Mechanics☆328Updated 2 years ago
- A Tensorflow re-implementation of the paper Convolutional Neural Networks for Steady Flow Approximation☆164Updated 6 years ago
- DeepCFD: Efficient Steady-State Laminar Flow Approximation with Deep Convolutional Neural Networks☆273Updated last year
- Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations☆279Updated 3 years ago
- Curated list for ML in FM☆208Updated last week
- Examples of how to use machine learning algorithms in computational fluid dynamics.☆257Updated 2 years ago
- ☆97Updated 6 months ago
- Computational Fluid Dynamics based on PyTorch and the Lattice Boltzmann Method☆254Updated last week
- A curated list of awesome Machine Learning projects in Fluid Dynamics☆102Updated 3 years ago
- A list of papers relating Computational Physics and Machine Learning☆139Updated 6 years ago
- ☆125Updated 2 years ago
- Deep learning for Engineers - Physics Informed Deep Learning☆347Updated last year
- IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.☆234Updated 9 months ago
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆203Updated 2 years ago
- A place to share problems solved with SciANN☆285Updated last year
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆87Updated 4 years ago
- TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).☆262Updated last year
- Geometry-Aware Fourier Neural Operator (Geo-FNO)☆266Updated 2 months ago
- Physics-informed neural network for solving fluid dynamics problems☆234Updated 4 years ago
- code for performing active flow control of the 2D Karman street using Deep Reinforcement Learning☆169Updated 2 years ago
- ☆190Updated 2 years ago
- ☆111Updated 6 months ago
- ☆218Updated 3 years ago
- compressing physics with neural networks☆156Updated 7 years ago
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆150Updated 5 years ago
- flowTorch - a Python library for analysis and reduced-order modeling of fluid flows☆155Updated 4 months ago
- Differentiable Fluid Dynamics Package☆442Updated 2 weeks ago
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆181Updated 2 years ago
- ☆61Updated 4 months ago