reduced_basis_decomposition | Python implementation of reduced basis decomposition

by AAbercrombie0492 Python Version: Current License: MIT

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kandi X-RAY | reduced_basis_decomposition Summary

reduced_basis_decomposition is a Python library. reduced_basis_decomposition has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Python implementation of reduced basis decomposition, a greedy and efficient algorithm for image compression and dimensionality reduction.

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Support

reduced_basis_decomposition has a low active ecosystem.

It has 0 star(s) with 1 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

reduced_basis_decomposition has no issues reported. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of reduced_basis_decomposition is current.

Quality

reduced_basis_decomposition has no bugs reported.

Security

reduced_basis_decomposition has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

reduced_basis_decomposition is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

reduced_basis_decomposition releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

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reduced_basis_decomposition Key Features

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reduced_basis_decomposition Examples and Code Snippets

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Community Discussions

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Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install reduced_basis_decomposition

You can download it from GitHub.
You can use reduced_basis_decomposition 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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