pyksvd | highly optimized , parallel implementation | Machine Learning library

by hoytak C++ Version: Current License: BSD-2-Clause

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kandi X-RAY | pyksvd Summary

pyksvd is a C++ library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Example Codes applications. pyksvd has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

A highly optimized, parallel implementation of the Batch-OMP version of the KSVD learning algorithm. It implements the algorithm in the paper. The computation is done in highly optimized C++ code with OpenMP implementations for multicore archetectures. ["Efficient Implementation of the K-SVD Algorithm and the Batch-OMP Method"] by Ron Rubinstein, Michael Zibulevsky and Michael Elad, 2009.

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pyksvd has a low active ecosystem.

It has 72 star(s) with 26 fork(s). There are 8 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 1 have been closed. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of pyksvd is current.

Quality

pyksvd has no bugs reported.

Security

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

License

pyksvd is licensed under the BSD-2-Clause License. This license is Permissive.

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

Reuse

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

Installation instructions are available. Examples and code snippets are not available.

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pyksvd Key Features

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pyksvd Examples and Code Snippets

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Community Discussions

Trending Discussions on pyksvd

"Linear dependence in the dictionary" exception in sklearns OMP

QUESTION

"Linear dependence in the dictionary" exception in sklearns OMP

Asked 2017-Feb-17 at 11:00

I'm using sklearns OrthogonalMatchingPursuit to get a sparse coding of a signal using a dictionary learned by a KSVD algorithm. However, during the fit I get the following RuntimeWarning:

...

ANSWER

Answered 2017-Feb-17 at 11:00

The problem was in the data vector y in

Source https://stackoverflow.com/questions/42131696

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

Vulnerabilities

No vulnerabilities reported

Install pyksvd

Eigen library is part of the repository as submodule in third-party. You need to:. Then, the installation can be performed by running python setup.py install.
Init the submodule git submodule init at the root of the repository.
Update the submodule git submodule update at the root of the repository.

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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