airfoil-pressure-learning | using CNNs to predict pressure fields around airfoils

by spfrommer Python Version: Current License: No License

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kandi X-RAY | airfoil-pressure-learning Summary

airfoil-pressure-learning is a Python library. airfoil-pressure-learning has no bugs, it has no vulnerabilities and it has low support. However airfoil-pressure-learning build file is not available. You can download it from GitHub.

An experiment on using CNNs to predict pressure fields around airfoils, based on ground truth pressure fields generated by a CFD solver. For more details, see the blog post and full report.

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airfoil-pressure-learning has a low active ecosystem.

It has 1 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

airfoil-pressure-learning has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of airfoil-pressure-learning is current.

Quality

airfoil-pressure-learning has no bugs reported.

Security

airfoil-pressure-learning has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

airfoil-pressure-learning does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

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airfoil-pressure-learning releases are not available. You will need to build from source code and install.

airfoil-pressure-learning has no build file. You will be need to create the build yourself to build the component from source.

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airfoil-pressure-learning Key Features

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airfoil-pressure-learning Examples and Code Snippets

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Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install airfoil-pressure-learning

You can download it from GitHub.
You can use airfoil-pressure-learning like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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