Linear Algebra Packages

OpenCLBLAS.jl0OpenCL BLAS library wrapper for Julia with samples

SuperLU.jl0

MUMPS1.jl0Alternative Julia interface to MUMPS sparse system solver

LMCLUS.jl1The Julia package for Linear Manifold Clustering

LDA.jl5*Deprecated*  Linear Discriminant Analysis and Kernel Fisher Analysis

SALT.jl5SALT (steadystate abinitio laser theory) solver package for Julia

IDRsSolver.jl6++ incorporated into https://github.com/JuliaLang/IterativeSolvers.jl ++ Induced Dimension Reduction method IDR(s) for solving general nonsymmetric linear equations using a Krylov method, for example ordinary linear equations or Sylvester and Stein equations.

Divergences.jl9A Julia package for evaluation of divergences between distributions

CUSOLVER.jl15

CUSPARSE.jl23Julia interface to NVIDIA's CUSPARSE library

HYPRE.jl26Julia interface to hypre linear solvers (https://github.com/hyprespace/hypre)

SugarBLAS.jl29Syntactic sugar for BLAS polynomials

RowEchelon.jl33Small package containing the rref fonction for computing the reduced row echelon form of the matrix A

LinearAlgebraicRepresentation.jl35Official repository of the package LAR for Julia.

LLLplus.jl44Lattice reduction and other lattice tools in Julia

DirectSum.jl48Tangent bundle / vector space category and functors

CanonicalTraits.jl59Fullfeatured traits in Julia. Without full features how dare I say this?

RecursiveFactorization.jl64

Adapt.jl67

TensorCast.jl126It slices, it dices, it splices!

LinearAlgebra.jl131Generic numerical linear algebra in Julia

GenericLinearAlgebra.jl131Generic numerical linear algebra in Julia

AutoGrad.jl164Julia port of the Python autograd package.

MKL.jl170Intel MKL linear algebra backend for Julia

Octavian.jl201Multithreaded BLASlike library that provides pure Julia matrix multiplication

KrylovKit.jl203Krylov methods for linear problems, eigenvalues, singular values and matrix functions

Krylov.jl265A Julia Basket of HandPicked Krylov Methods

LinearMaps.jl282A Julia package for defining and working with linear maps, also known as linear transformations or linear operators acting on vectors. The only requirement for a LinearMap is that it can act on a vector (by multiplication) efficiently.

Transducers.jl381Efficient transducers for Julia
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