Matrix Theory Packages
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BlockBandedMatrices.jl56A Julia package for representing block-banded matrices and banded-block-banded matrices
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InfiniteArrays.jl72A Julia package for representing infinite-dimensional arrays
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MultiScaleArrays.jl73A framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations
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MatrixDepot.jl74An Extensible Test Matrix Collection for Julia
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GemmKernels.jl78Flexible and performant GEMM kernels in Julia
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MatrixEquations.jl81Solution of Lyapunov, Sylvester and Riccati matrix equations using Julia
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Kronecker.jl86A general-purpose toolbox for efficient Kronecker-based algebra.
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MappedArrays.jl89Lazy in-place transformations of arrays
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NamedArrays.jl118Julia type that implements a drop-in replacement of Array with named dimensions
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LabelledArrays.jl120Arrays which also have a label for each element for easy scientific machine learning (SciML)
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CategoricalArrays.jl125Arrays for working with categorical data (both nominal and ordinal)
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BandedMatrices.jl128A Julia package for representing banded matrices
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ArrayInterface.jl133Designs for new Base array interface primitives, used widely through scientific machine learning (SciML) and other organizations
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Strided.jl147A Julia package for strided array views and efficient manipulations thereof
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Rotations.jl176Julia implementations for different rotation parameterizations
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AxisArrays.jl200Performant arrays where each dimension can have a named axis with values
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RecursiveArrayTools.jl212Tools for easily handling objects like arrays of arrays and deeper nestings in scientific machine learning (SciML) and other applications
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LazyArrays.jl303Lazy arrays and linear algebra in Julia
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StructArrays.jl319Efficient implementation of struct arrays in Julia
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StaticArrays.jl761Statically sized arrays for Julia
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