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@@ -128,6 +128,7 @@
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+ [ParallelSparseMatMul.jl](https://github.com/madeleineudell/ParallelSparseMatMul.jl) :: A Julia library for parallel sparse matrix multiplication using shared memory.
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+ [PDMats.jl](https://github.com/lindahua/PDMats.jl) :: Uniform Interface for positive definite matrices of various structures.
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+ [PETSc.jl](https://github.com/stevengj/PETSc.jl) :: sparse-matrix interface for the Julia language.
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++ [PositiveFactorizations.jl](https://github.com/timholy/PositiveFactorizations.jl) :: Positive-definite "approximations" to matrices.
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+ [PropertyGraph.jl](https://github.com/PhillP/PropertyGraph.jl) :: A Julia package for constructing, creating and querying graph data structures.
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+ [PropertyGraphMongo.jl](https://github.com/PhillP/PropertyGraphMongo.jl) :: A Mongo storage provider for the `PropertyGraph.jl` package.
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+ [QuickStructs.jl](https://github.com/tbreloff/QuickStructs.jl) :: Several data structures with goals of O(1) for important operations.
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@@ -191,14 +192,12 @@ Machine learning and statistics are closely related fields, so do check out the
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+ [EGR.jl](https://github.com/stefanks/EGR.jl) :: The Stochastic Gradient (SG) algorithm for machine learning.
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+ [ELM.jl](https://github.com/lepisma/ELM.jl) :: Extreme Learning Machines are a variant of Single-Hidden Layer Feedforward Networks (SLFNs) with a significant departure as their weights aren't iteratively tuned. This boosts the speed of neurals nets heavily.
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+ [FeatureSelection.jl](https://github.com/Evizero/FeatureSelection.jl) :: Common measures and algorithms for feature selection.
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-+ [Flimsy.jl](https://github.com/thomlake/Flimsy.jl) :: Gradient based Machine
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-Learning for Julia.
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-+ [FunctionalDataUtils.jl](https://github.com/rened/FunctionalDataUtils.jl) ::
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-Utility functions for the FunctionalData package, mainly from the area of
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-computer vision / machine learning.
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++ [Flimsy.jl](https://github.com/thomlake/Flimsy.jl) :: Gradient based Machine Learning for Julia.
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++ [FunctionalDataUtils.jl](https://github.com/rened/FunctionalDataUtils.jl) :: Utility functions for the FunctionalData package, mainly from the area of computer vision / machine learning.
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+ [GURLS.jl](https://github.com/joehuchette/GURLS.jl) :: A pure Julia port of the GURLS supervised learning library.
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+ [Glmnet.jl](https://github.com/simonster/Glmnet.jl) :: Julia wrapper for fitting Lasso/ElasticNet GLM models using glmnet.
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+ [HopfieldNets.jl](https://github.com/johnmyleswhite/HopfieldNets.jl) :: Discrete and continuous Hopfield networks in Julia.
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++ [HSIC.jl](https://github.com/trappmartin/HSIC.jl) :: Julia implementations of the Hilbert-Schmidt Independence Criterion (HSIC).
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+ [KaggleDigitRecognizer.jl](https://github.com/benhamner/KaggleDigitRecognizer.jl) :: Julia code for Kaggle's Digit Recognizer competition.
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+ [KDTrees.jl](https://github.com/KristofferC/KDTrees.jl) :: KD Trees.
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+ [Kernels.jl](https://github.com/trthatcher/Kernels.jl) :: A Julia package for Mercer kernels and Gramian matrix calculation/approximation functions used in kernel methods of machine learning.
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