thunil / Deep-Flow-PredictionLinks
A framework for fluid flow (Reynolds-averaged Navier Stokes) predictions with deep learning
☆313Updated 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.☆289Updated 5 years ago
- DeepCFD: Efficient Steady-State Laminar Flow Approximation with Deep Convolutional Neural Networks☆260Updated last year
- A Tensorflow re-implementation of the paper Convolutional Neural Networks for Steady Flow Approximation☆162Updated 6 years ago
- Hidden Fluid Mechanics☆327Updated 2 years ago
- Examples of how to use machine learning algorithms in computational fluid dynamics.☆253Updated 2 years ago
- Curated list for ML in FM☆204Updated last week
- A curated list of awesome Machine Learning projects in Fluid Dynamics☆91Updated 2 years ago
- Deep learning for Engineers - Physics Informed Deep Learning☆338Updated last year
- Computational Fluid Dynamics based on PyTorch and the Lattice Boltzmann Method☆242Updated 2 weeks ago
- ☆96Updated 4 months ago
- Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations☆279Updated 2 years ago
- Physics-informed neural network for solving fluid dynamics problems☆228Updated 4 years ago
- ☆125Updated 2 years ago
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆146Updated 4 years ago
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆193Updated 2 years ago
- Integrating the TensorFlow 1.15 C-API into OpenFOAM 5.0 for data-driven CFD algorithm development☆211Updated 2 years ago
- A list of papers relating Computational Physics and Machine Learning☆137Updated 6 years ago
- Differentiable Fluid Dynamics Package☆413Updated last week
- code for performing active flow control of the 2D Karman street using Deep Reinforcement Learning☆162Updated last year
- ☆188Updated 2 years ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆229Updated 3 years ago
- ☆108Updated 4 months ago
- compressing physics with neural networks☆154Updated 6 years ago
- Data-driven Reynolds stress modeling with physics-informed machine learning☆92Updated 6 years ago
- Deep Learning of Vortex Induced Vibrations☆95Updated 5 years ago
- An open-source Python platform of coupling deep reinforcement learning and OpenFOAM☆153Updated 2 months ago
- Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data☆149Updated 5 years ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆85Updated 4 years ago
- Spectral Navier Stokes (and similar) solvers in Python☆322Updated last year
- Python script for Linear, Non-Linear Convection, Burger’s & Poisson Equation in 1D & 2D, 1D Diffusion Equation using Standard Wall Functi…☆217Updated last year