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XLA Accelerated Functional Models and Algorithms for Sparse Representations based Signal Processing
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=========================================================================================================
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- |docs | |unttests | |coverage |
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+ |pypi | | license | | docs | |unttests | |coverage | | codacy |
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An `overview <https://carnotresearch.github.io/cr-sparse/intro.html >`_ of the library.
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@@ -104,9 +104,26 @@ To cite this repository:
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:target: https://github.com/carnotresearch/cr-sparse/actions/workflows/ci.yml
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+ .. |pypi | image :: https://badge.fury.io/py/cr-sparse.svg
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+ :alt: PyPI CR-Sparse
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+ :scale: 100%
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+ :target: https://badge.fury.io/py/cr-sparse
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.. |coverage | image :: https://codecov.io/gh/carnotresearch/cr-sparse/branch/master/graph/badge.svg?token=JZQW6QU3S4
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:alt: Coverage
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:scale: 100%
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:target: https://codecov.io/gh/carnotresearch/cr-sparse
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+ .. |license | image :: https://img.shields.io/badge/License-Apache%202.0-blue.svg
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+ :alt: License
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+ :scale: 100%
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+ :target: https://opensource.org/licenses/Apache-2.0
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+ .. |codacy | image :: https://app.codacy.com/project/badge/Grade/36905009377e4a968124dabb6cd24aae
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+ :alt: Codacy Badge
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+ :scale: 100%
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+ :target: https://www.codacy.com/gh/carnotresearch/cr-sparse/dashboard?utm_source=github.com&utm_medium=referral&utm_content=carnotresearch/cr-sparse&utm_campaign=Badge_Grade
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+ [![Codacy Badge]()]()
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