Dependency Packages
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DefineSingletons.jl0-
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LazyArtifacts.jl0-
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FLoopsBase.jl0-
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DataValueInterfaces.jl0-
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CUDA_Runtime_Discovery.jl0Counterpart of CUDA_Runtime_jll, but for discovering a local toolkit.
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FeatureSelection.jl1Repository housing feature selection algorithms for use with the machine learning toolbox MLJ.
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LayoutPointers.jl1-
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SparseInverseSubset.jl2Implementation of Takahashi''s inverse subset algorithm for sparse matrices
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CloseOpenIntervals.jl2-
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SIMDTypes.jl2Type declarations for other repos to depend on.
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BitTwiddlingConvenienceFunctions.jl3Bit twiddling convenience functions.
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MicroCollections.jl3Fork of https://github.com/JuliaFolds/MicroCollections.jl
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StatisticalTraits.jl3-
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MLJLIBSVMInterface.jl3An implementation of the MLJ model interface for support vector machines provided by LIBSVM.jl
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MyterialColors.jl4Lightweight colors
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SimpleBufferStream.jl4What Base.BufferStream should be
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UnsafeAtomics.jl4-
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Grisu.jl4The old Base.Grisu module made into a package
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RealDot.jl4Compute `real(dot(x, y))` efficiently.
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ARFFFiles.jl5Load and save ARFF files
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ExceptionUnwrapping.jl5"I started by producing, and the rapping came second to that, because I wanted to fill out the beat." - Awkwafina
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MLJBalancing.jl5A package with exported learning networks that combine resampling methods from Imbalance.jl and classification models from MLJ
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OpenSSL_jll.jl5-
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MLJEnsembles.jl6-
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FLoops.jl6Forked Successor to github.com/JuliaFolds/FLoops.jl
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PolyesterWeave.jl7Scheduler for Polyester.jl and compatible libraries such as LoopVectorization.jl.
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CPUSummary.jl7-
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AliasTables.jl8An efficient sampler for discrete random variables
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Unzip.jl8-
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Showoff.jl8Nicely format an array of n things for tables and plots
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HostCPUFeatures.jl8-
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CodecBzip2.jl8A bzip2 codec for TranscodingStreams.jl.
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MLJFlow.jl8Connecting MLJ and MLFlow
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StatisticalMeasuresBase.jl8A Julia package for building production-ready measures (metrics) for statistics and machine learning
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ScikitLearnBase.jl9Abstract interface of ScikitLearn.jl
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CommonWorldInvalidations.jl9Fixing the world one invalidator at a time.
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ScientificTypesBase.jl9Base interface for dispatching on the "scientific" type of data instead of the machine type
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MLJDecisionTreeInterface.jl9-
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MLJIteration.jl10A package for wrapping iterative MLJ models in a control strategy
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ContextVariablesX.jl10-
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