Dependency Packages
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BaytesInference.jl1Plotting and inference utilities for Baytes.jl output.
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OutlierDetectionTrees.jl1-
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ABBAj.jl1A Julia version of ABBA with parallel k-means implementation
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PredictMDFull.jl0-
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DistributedStwdLDA.jl0Distributed, static topic/word LDA
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ArviZPythonPlots.jl0-
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PredictMDExtra.jl0-
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FastBEAST.jl0-
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ProbabilisticParameterEstimators.jl0Parameter estimation under uncertainty.
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TaijaData.jl0-
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MLJTSVDInterface.jl0A repository containing glue code for making TSVD.jl available to MLJ users
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MLJSerialization.jl0-
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MLJNaiveBayesInterface.jl0-
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TaijaParallel.jl0Adds support for parallelization for Taija packages.
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NonNegLeastSquaresMLJInterface.jl0A MLJ Interface to the NonNegLeastSquares.jl package
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MLJTestInterface.jl0-
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Maxnet.jl0-
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StanQuap.jl0Quadratic approximation of posterior distribution using StanOptimize
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MambaModels.jl0DEPRECATED. Mamba versions of StatisticalRethinking models.
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StanVariational.jl0WIP: Wrapper package for the variational method in Stan's cmdstan executable.
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LogDensityTestSuite.jl0Construct log densities with deterministic samples using low-discrepancy sequences.
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BasicAkerRelationalScore.jl0This is a dimensionality reduction algorithm which has the goal of maintaining interpretability i.e we eliminate variables directly from potential models that don't seem to add any predictive power.
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