ikespand / awesome-machine-learning-fluid-mechanicsLinks
Curated list for ML in FM
☆234Updated 4 months ago
Alternatives and similar repositories for awesome-machine-learning-fluid-mechanics
Users that are interested in awesome-machine-learning-fluid-mechanics are comparing it to the libraries listed below
Sorting:
- Lecture material for machine learning applied to computational fluid mechanics☆428Updated 3 weeks ago
- A curated list of awesome Machine Learning projects in Fluid Dynamics☆109Updated 3 years ago
- Examples of how to use machine learning algorithms in computational fluid dynamics.☆266Updated 3 years ago
- DeepCFD: Efficient Steady-State Laminar Flow Approximation with Deep Convolutional Neural Networks☆305Updated last year
- Python script for Linear, Non-Linear Convection, Burger’s & Poisson Equation in 1D & 2D, 1D Diffusion Equation using Standard Wall Functi…☆237Updated last year
- Integrating the TensorFlow 1.15 C-API into OpenFOAM 5.0 for data-driven CFD algorithm development☆217Updated 2 years ago
- A Computational Fluid Dynamics (CFD) course with Python☆109Updated 2 years ago
- Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey☆292Updated 7 months ago
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆201Updated 2 years ago
- A simple full-python 2D lattice-boltzmann code☆207Updated 2 years ago
- Computational Fluid Dynamics based on PyTorch and the Lattice Boltzmann Method☆273Updated 3 weeks ago
- Python for Scientific Computing (FEniCS, PyTorch, VTK)☆135Updated last year
- An open-source Python platform of coupling deep reinforcement learning and OpenFOAM☆175Updated 10 months ago
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆157Updated 5 years ago
- ☆92Updated last year
- In-situ data analyses and machine learning with OpenFOAM and Python☆181Updated 2 years ago
- ☆199Updated 2 years ago
- A large-scale benchmark for machine learning methods in fluid dynamics☆253Updated 2 months ago
- This repo contains some tutorial type programs showing some basic ways machine learning can be applied to CFD.☆304Updated 6 years ago
- Reduced order modelling techniques for OpenFOAM☆204Updated 3 weeks ago
- Code for the paper "Thermodynamics-informed graph neural networks" published in IEEE Transactions on Artificial Intelligence (TAI).☆106Updated last year
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆76Updated 2 years ago
- flowTorch - a Python library for analysis and reduced-order modeling of fluid flows☆163Updated 3 weeks ago
- Physics-informed neural networks for two-phase flow problems☆72Updated 3 months ago
- A curated list of repositories related to fluid dynamics.☆160Updated 2 years ago
- A Python package for spectral proper orthogonal decomposition (SPOD).☆115Updated this week
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆231Updated 2 years ago
- Curated list of some open-source codes for turbulent flow simulations, including turbulent multiphase, turbulent reacting flows, turbulen…☆127Updated 5 years ago
- Deep Learning for Reduced Order Modelling☆103Updated 4 years ago
- A Physics-Informed Neural Network to solve 2D steady-state heat equations.☆170Updated 4 months ago