Statistics for topic cfd
RepositoryStats tracks 518,986 Github repositories, of these 95 are tagged with the cfd topic. The most common primary language for repositories using this topic is C++ (26). Other languages include: Python (18), Fortran (13)
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The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs via OpenCL.
Computational Fluid Dynamics based on PyTorch and the Lattice Boltzmann Method
NeuralFoil is an airfoil aerodynamics analysis tool using physics-informed machine learning, in pure Python/NumPy.
Computational Fluid Dynamics based on PyTorch and the Lattice Boltzmann Method
The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs via OpenCL.
The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs via OpenCL.
Computational Fluid Dynamics based on PyTorch and the Lattice Boltzmann Method
DrivAerNet: A Parametric Car Dataset for Data-driven Aerodynamic Design and Graph-Based Drag Prediction
Computational Fluid Dynamics based on PyTorch and the Lattice Boltzmann Method
NeuralFoil is an airfoil aerodynamics analysis tool using physics-informed machine learning, in pure Python/NumPy.
Implementation of the 12 steps approach to the Navier-Stokes equations, essential for simulating fluid dynamics.
A three-dimensional unstructured finite volume code for fluid flow simulations.
The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs via OpenCL.
A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
Computational Fluid Dynamics based on PyTorch and the Lattice Boltzmann Method
Implementation of the 12 steps approach to the Navier-Stokes equations, essential for simulating fluid dynamics.
NeuralFoil is an airfoil aerodynamics analysis tool using physics-informed machine learning, in pure Python/NumPy.
DrivAerNet: A Parametric Car Dataset for Data-driven Aerodynamic Design and Graph-Based Drag Prediction
Computational Fluid Dynamics based on PyTorch and the Lattice Boltzmann Method
NeuralFoil is an airfoil aerodynamics analysis tool using physics-informed machine learning, in pure Python/NumPy.
Implementation of the 12 steps approach to the Navier-Stokes equations, essential for simulating fluid dynamics.
Comparison of various numerical methods for computational fluid dynamics
DrivAerNet: A Parametric Car Dataset for Data-driven Aerodynamic Design and Graph-Based Drag Prediction
The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs via OpenCL.
A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
Aircraft design optimization made fast through modern automatic differentiation. Composable analysis tools for aerodynamics, propulsion, structures, trajectory design, and much more.
10101 (Ten-Ten-One): Self-custodial derivative trading at your fingertips.
A list of aerospace engineering learning resources 🚀✈️