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1. CompressedSensing.jlCompressedSensing.jlPublic

   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.jlCovarianceFunctions.jlPublic

   Lazy, structured, and efficient operations with kernel matrices.

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3. BlockFactorizations.jlBlockFactorizations.jlPublic

   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. BackgroundSubtraction.jlBackgroundSubtraction.jlPublic

   A collection of background subtraction algorithms for spectroscopic data

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5. UpdatableCholeskyFactorizations.jlUpdatableCholeskyFactorizations.jlPublic

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

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6. LinearAlgebraExtensions.jlLinearAlgebraExtensions.jlPublic

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