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  1. CompressedSensing.jl CompressedSensing.jl Public

    Contains a wide-ranging collection of compressed sensing and feature selection algorithms. Examples include matching pursuit algorithms, forward and backward stepwise regression, sparse Bayesian le…

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  2. CovarianceFunctions.jl CovarianceFunctions.jl Public

    Lazy, structured, and efficient operations with kernel matrices.

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  3. BlockFactorizations.jl BlockFactorizations.jl Public

    This package contains a data structure that wraps a matrix of matrices or factorizations and acts like the matrix resulting from concatenating the input matrices without allocating further memory.

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  4. UpdatableCholeskyFactorizations.jl UpdatableCholeskyFactorizations.jl Public

    This package contains implementations of efficient representations and updating algorithms for Cholesky factorizations.

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  5. LinearAlgebraExtensions.jl LinearAlgebraExtensions.jl Public

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  6. BackgroundSubtraction.jl BackgroundSubtraction.jl Public

    A collection of background subtraction algorithms for spectroscopic data

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