Statistics for topic cfd
RepositoryStats tracks 579,129 Github repositories, of these 103 are tagged with the cfd topic. The most common primary language for repositories using this topic is C++ (29). Other languages include: Python (21), Fortran (16)
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A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
MF-LBM: A Portable, Scalable and High-performance Lattice Boltzmann Code for DNS of Flow in Porous Media
A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks
A package that lets you create TradingView screeners in Python
MF-LBM: A Portable, Scalable and High-performance Lattice Boltzmann Code for DNS of Flow in Porous Media
A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks
A package that lets you create TradingView screeners in Python
A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
MF-LBM: A Portable, Scalable and High-performance Lattice Boltzmann Code for DNS of Flow in Porous Media
A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks
A package that lets you create TradingView screeners in Python
MF-LBM: A Portable, Scalable and High-performance Lattice Boltzmann Code for DNS of Flow in Porous Media
A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks
A package that lets you create TradingView screeners in Python
The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs via OpenCL. Free for non-commercial use.
A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
A package that lets you create TradingView screeners in Python
A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks
A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks
NeuralFoil is a practical airfoil aerodynamics analysis tool using physics-informed machine learning, in pure Python/NumPy.
A package that lets you create TradingView screeners in Python
MF-LBM: A Portable, Scalable and High-performance Lattice Boltzmann Code for DNS of Flow in Porous Media
Comparison of various numerical methods for computational fluid dynamics
A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks
Implementation of the 12 steps approach to the Navier-Stokes equations, essential for simulating fluid dynamics.
The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs via OpenCL. Free for non-commercial use.
A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
A package that lets you create TradingView screeners in Python
Aircraft design optimization made fast through computational graph transformations (e.g., automatic differentiation). Composable analysis tools for aerodynamics, propulsion, structures, trajectory des...
A package that lets you create TradingView screeners in Python
NeuralFoil is a practical airfoil aerodynamics analysis tool using physics-informed machine learning, in pure Python/NumPy.
A list of aerospace engineering learning resources 🚀✈️