{"payload":{"pageCount":2,"repositories":[{"type":"Public","name":"InfiniteLinearAlgebra.jl","owner":"JuliaLinearAlgebra","isFork":false,"description":"A Julia repository for linear algebra with infinite matrices","allTopics":[],"primaryLanguage":{"name":"Julia","color":"#a270ba"},"pullRequestCount":4,"issueCount":6,"starsCount":34,"forksCount":7,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-04T09:58:02.084Z"}},{"type":"Public","name":"IterativeSolvers.jl","owner":"JuliaLinearAlgebra","isFork":false,"description":"Iterative algorithms for solving linear systems, eigensystems, and singular value problems","allTopics":["julia","linear-algebra","iterative-methods"],"primaryLanguage":{"name":"Julia","color":"#a270ba"},"pullRequestCount":16,"issueCount":61,"starsCount":391,"forksCount":105,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-03T11:43:14.773Z"}},{"type":"Public","name":"BandedMatrices.jl","owner":"JuliaLinearAlgebra","isFork":false,"description":"A Julia package for representing banded matrices","allTopics":[],"primaryLanguage":{"name":"Julia","color":"#a270ba"},"pullRequestCount":7,"issueCount":45,"starsCount":130,"forksCount":35,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-03T07:16:09.568Z"}},{"type":"Public","name":"LazyBandedMatrices.jl","owner":"JuliaLinearAlgebra","isFork":false,"description":"A Julia package for lazy banded matrices","allTopics":[],"primaryLanguage":{"name":"Julia","color":"#a270ba"},"pullRequestCount":2,"issueCount":6,"starsCount":4,"forksCount":2,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-03T06:52:09.532Z"}},{"type":"Public","name":"AlgebraicMultigrid.jl","owner":"JuliaLinearAlgebra","isFork":false,"description":"Algebraic Multigrid in Julia","allTopics":["julia-language","sparse-linear-systems","iterative-methods"],"primaryLanguage":{"name":"Julia","color":"#a270ba"},"pullRequestCount":2,"issueCount":12,"starsCount":116,"forksCount":23,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-30T12:44:00.765Z"}},{"type":"Public","name":"MatrixDepot.jl","owner":"JuliaLinearAlgebra","isFork":false,"description":"An Extensible Test Matrix Collection for Julia","allTopics":[],"primaryLanguage":{"name":"Julia","color":"#a270ba"},"pullRequestCount":0,"issueCount":3,"starsCount":73,"forksCount":22,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-30T09:03:43.323Z"}},{"type":"Public","name":"BLISBLAS.jl","owner":"JuliaLinearAlgebra","isFork":false,"description":"BLIS-pendant of MKL.jl","allTopics":[],"primaryLanguage":{"name":"Julia","color":"#a270ba"},"pullRequestCount":3,"issueCount":3,"starsCount":11,"forksCount":4,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-29T08:30:26.455Z"}},{"type":"Public","name":"SemiseparableMatrices.jl","owner":"JuliaLinearAlgebra","isFork":false,"description":"A Julia package to represent semiseparable and almost banded matrices","allTopics":[],"primaryLanguage":{"name":"Julia","color":"#a270ba"},"pullRequestCount":0,"issueCount":2,"starsCount":7,"forksCount":4,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-21T10:26:47.982Z"}},{"type":"Public","name":"ArrayLayouts.jl","owner":"JuliaLinearAlgebra","isFork":false,"description":"A Julia package for describing array layouts and more general fast linear algebra","allTopics":[],"primaryLanguage":{"name":"Julia","color":"#a270ba"},"pullRequestCount":4,"issueCount":15,"starsCount":53,"forksCount":9,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-20T14:40:09.343Z"}},{"type":"Public","name":"BlockBandedMatrices.jl","owner":"JuliaLinearAlgebra","isFork":false,"description":"A Julia package for representing block-banded matrices and banded-block-banded matrices","allTopics":[],"primaryLanguage":{"name":"Julia","color":"#a270ba"},"pullRequestCount":2,"issueCount":16,"starsCount":56,"forksCount":13,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-20T12:37:08.792Z"}},{"type":"Public","name":"SpecialMatrices.jl","owner":"JuliaLinearAlgebra","isFork":false,"description":"Julia package for working with special matrix types.","allTopics":[],"primaryLanguage":{"name":"Julia","color":"#a270ba"},"pullRequestCount":0,"issueCount":3,"starsCount":39,"forksCount":11,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-19T14:29:35.000Z"}},{"type":"Public","name":"LinearMaps.jl","owner":"JuliaLinearAlgebra","isFork":false,"description":"A 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.","allTopics":[],"primaryLanguage":{"name":"Julia","color":"#a270ba"},"pullRequestCount":4,"issueCount":13,"starsCount":300,"forksCount":39,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-18T22:58:01.850Z"}},{"type":"Public","name":"MatrixFactorizations.jl","owner":"JuliaLinearAlgebra","isFork":false,"description":"A Julia package to contain non-standard matrix factorizations","allTopics":[],"primaryLanguage":{"name":"Julia","color":"#a270ba"},"pullRequestCount":0,"issueCount":1,"starsCount":18,"forksCount":5,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-18T07:28:50.795Z"}},{"type":"Public","name":"MKL.jl","owner":"JuliaLinearAlgebra","isFork":false,"description":"Intel MKL linear algebra backend for Julia","allTopics":["julia","linear-algebra"],"primaryLanguage":{"name":"Julia","color":"#a270ba"},"pullRequestCount":3,"issueCount":4,"starsCount":196,"forksCount":31,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-16T15:50:57.651Z"}},{"type":"Public","name":"libblastrampoline","owner":"JuliaLinearAlgebra","isFork":false,"description":"Using PLT trampolines to provide a BLAS and LAPACK demuxing library.","allTopics":["linear-algebra","blas"],"primaryLanguage":{"name":"C","color":"#555555"},"pullRequestCount":1,"issueCount":9,"starsCount":65,"forksCount":15,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-15T22:29:59.149Z"}},{"type":"Public","name":"ArnoldiMethod.jl","owner":"JuliaLinearAlgebra","isFork":false,"description":"The Arnoldi Method with Krylov-Schur restart, natively in Julia.","allTopics":["julia","linear-algebra","eigenvectors","eigenvalues"],"primaryLanguage":{"name":"Julia","color":"#a270ba"},"pullRequestCount":2,"issueCount":3,"starsCount":94,"forksCount":18,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-06T19:54:56.132Z"}},{"type":"Public","name":"TSVD.jl","owner":"JuliaLinearAlgebra","isFork":false,"description":"Truncated singular value decomposition with partial reorthogonalization","allTopics":[],"primaryLanguage":{"name":"Julia","color":"#a270ba"},"pullRequestCount":1,"issueCount":5,"starsCount":37,"forksCount":9,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-06T18:37:28.817Z"}},{"type":"Public","name":"SkewLinearAlgebra.jl","owner":"JuliaLinearAlgebra","isFork":false,"description":"Julia Package for skew-symmetric matrices","allTopics":[],"primaryLanguage":{"name":"Julia","color":"#a270ba"},"pullRequestCount":0,"issueCount":3,"starsCount":17,"forksCount":5,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-06T16:50:39.185Z"}},{"type":"Public","name":"LowRankMatrices.jl","owner":"JuliaLinearAlgebra","isFork":false,"description":"Lightweight package that provides the low-rank matrix types that are used in LowRankApprox.jl","allTopics":[],"primaryLanguage":{"name":"Julia","color":"#a270ba"},"pullRequestCount":0,"issueCount":0,"starsCount":2,"forksCount":0,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-06T12:43:55.219Z"}},{"type":"Public","name":"RecursiveFactorization.jl","owner":"JuliaLinearAlgebra","isFork":false,"description":"","allTopics":["linear-algebra"],"primaryLanguage":{"name":"Julia","color":"#a270ba"},"pullRequestCount":3,"issueCount":5,"starsCount":75,"forksCount":6,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-26T02:50:46.863Z"}},{"type":"Public","name":"BLASBenchmarksCPU.jl","owner":"JuliaLinearAlgebra","isFork":false,"description":"Benchmark BLAS Libraries","allTopics":[],"primaryLanguage":{"name":"Julia","color":"#a270ba"},"pullRequestCount":0,"issueCount":2,"starsCount":5,"forksCount":2,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-09T14:37:17.649Z"}},{"type":"Public","name":"LowRankApprox.jl","owner":"JuliaLinearAlgebra","isFork":false,"description":"Fast low-rank matrix approximation in Julia","allTopics":[],"primaryLanguage":{"name":"Julia","color":"#a270ba"},"pullRequestCount":3,"issueCount":7,"starsCount":108,"forksCount":19,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-08T07:47:36.739Z"}},{"type":"Public","name":"Octavian.jl","owner":"JuliaLinearAlgebra","isFork":false,"description":"Multi-threaded BLAS-like library that provides pure Julia matrix multiplication","allTopics":[],"primaryLanguage":{"name":"Julia","color":"#a270ba"},"pullRequestCount":4,"issueCount":18,"starsCount":222,"forksCount":17,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-08T04:24:09.483Z"}},{"type":"Public","name":"RectangularFullPacked.jl","owner":"JuliaLinearAlgebra","isFork":false,"description":"A Julia package for the Rectangular Full Packed matrix format","allTopics":[],"primaryLanguage":{"name":"Julia","color":"#a270ba"},"pullRequestCount":0,"issueCount":0,"starsCount":6,"forksCount":1,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-03T12:39:46.570Z"}},{"type":"Public","name":"ToeplitzMatrices.jl","owner":"JuliaLinearAlgebra","isFork":false,"description":"Fast matrix multiplication and division for Toeplitz matrices in Julia","allTopics":[],"primaryLanguage":{"name":"Julia","color":"#a270ba"},"pullRequestCount":7,"issueCount":14,"starsCount":65,"forksCount":24,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-01T21:37:42.747Z"}},{"type":"Public","name":"AppleAccelerate.jl","owner":"JuliaLinearAlgebra","isFork":false,"description":"Julia interface to the macOS Accelerate framework","allTopics":["macos","apple","julia","accelerate-framework"],"primaryLanguage":{"name":"Julia","color":"#a270ba"},"pullRequestCount":1,"issueCount":5,"starsCount":96,"forksCount":18,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-01T21:29:10.246Z"}},{"type":"Public","name":"BenchmarkPlottingUtilities.jl","owner":"JuliaLinearAlgebra","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Julia","color":"#a270ba"},"pullRequestCount":1,"issueCount":0,"starsCount":2,"forksCount":1,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-01T18:06:15.812Z"}},{"type":"Public","name":"IncrementalSVD.jl","owner":"JuliaLinearAlgebra","isFork":false,"description":"Incrementally compute an approximate truncated singular value decomposition","allTopics":[],"primaryLanguage":{"name":"Julia","color":"#a270ba"},"pullRequestCount":0,"issueCount":0,"starsCount":8,"forksCount":1,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-03-13T20:54:24.829Z"}},{"type":"Public","name":"Arpack.jl","owner":"JuliaLinearAlgebra","isFork":false,"description":"Julia Wrappers for the arpack-ng Fortran library","allTopics":["arpack","julia"],"primaryLanguage":{"name":"Julia","color":"#a270ba"},"pullRequestCount":0,"issueCount":19,"starsCount":67,"forksCount":29,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-02-13T15:10:07.309Z"}},{"type":"Public","name":"GenericLinearAlgebra.jl","owner":"JuliaLinearAlgebra","isFork":false,"description":"Generic numerical linear algebra in Julia","allTopics":[],"primaryLanguage":{"name":"Julia","color":"#a270ba"},"pullRequestCount":4,"issueCount":17,"starsCount":142,"forksCount":24,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-02-08T11:31:40.245Z"}}],"repositoryCount":47,"userInfo":null,"searchable":true,"definitions":[],"typeFilters":[{"id":"all","text":"All"},{"id":"public","text":"Public"},{"id":"source","text":"Sources"},{"id":"fork","text":"Forks"},{"id":"archived","text":"Archived"},{"id":"template","text":"Templates"}],"compactMode":false},"title":"Repositories"}