3 Commits bc6eb8a85c ... f244cb92d8

Author SHA1 Message Date
  SVAKSHA f244cb92d8 @trappmartin : HSIC.jl 3 years ago
  SVAKSHA a090ccce35 @timholy : PositiveFactorizations.jl 3 years ago
  SVAKSHA b326b7666c @nkottary : Help.jl 3 years ago
2 changed files with 10 additions and 10 deletions
  1. 4 5
      AI.md
  2. 6 5
      Build-Automation.md

+ 4 - 5
AI.md

@@ -128,6 +128,7 @@
 + [ParallelSparseMatMul.jl](https://github.com/madeleineudell/ParallelSparseMatMul.jl) :: A Julia library for parallel sparse matrix multiplication using shared memory.
 + [PDMats.jl](https://github.com/lindahua/PDMats.jl) :: Uniform Interface for positive definite matrices of various structures.
 + [PETSc.jl](https://github.com/stevengj/PETSc.jl) :: sparse-matrix interface for the Julia language.
++ [PositiveFactorizations.jl](https://github.com/timholy/PositiveFactorizations.jl) :: Positive-definite "approximations" to matrices.
 + [PropertyGraph.jl](https://github.com/PhillP/PropertyGraph.jl) :: A Julia package for constructing, creating and querying graph data structures. 
    + [PropertyGraphMongo.jl](https://github.com/PhillP/PropertyGraphMongo.jl) :: A Mongo storage provider for the `PropertyGraph.jl` package.
 + [QuickStructs.jl](https://github.com/tbreloff/QuickStructs.jl) :: Several data structures with goals of O(1) for important operations. 
@@ -191,14 +192,12 @@ Machine learning and statistics are closely related fields, so do check out the
 + [EGR.jl](https://github.com/stefanks/EGR.jl) :: The Stochastic Gradient (SG) algorithm for machine learning.
 + [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.
 + [FeatureSelection.jl](https://github.com/Evizero/FeatureSelection.jl) :: Common measures and algorithms for feature selection. 
-+ [Flimsy.jl](https://github.com/thomlake/Flimsy.jl) :: Gradient based Machine 
-Learning for Julia. 
-+ [FunctionalDataUtils.jl](https://github.com/rened/FunctionalDataUtils.jl) :: 
-Utility functions for the FunctionalData package, mainly from the area of 
-computer vision / machine learning.
++ [Flimsy.jl](https://github.com/thomlake/Flimsy.jl) :: Gradient based Machine Learning for Julia. 
++ [FunctionalDataUtils.jl](https://github.com/rened/FunctionalDataUtils.jl) :: Utility functions for the FunctionalData package, mainly from the area of computer vision / machine learning.
 + [GURLS.jl](https://github.com/joehuchette/GURLS.jl) :: A pure Julia port of the GURLS supervised learning library.
 + [Glmnet.jl](https://github.com/simonster/Glmnet.jl) :: Julia wrapper for fitting Lasso/ElasticNet GLM models using glmnet.
 + [HopfieldNets.jl](https://github.com/johnmyleswhite/HopfieldNets.jl) :: Discrete and continuous Hopfield networks in Julia.
++ [HSIC.jl](https://github.com/trappmartin/HSIC.jl) :: Julia implementations of the Hilbert-Schmidt Independence Criterion (HSIC). 
 + [KaggleDigitRecognizer.jl](https://github.com/benhamner/KaggleDigitRecognizer.jl) :: Julia code for Kaggle's Digit Recognizer competition.
 + [KDTrees.jl](https://github.com/KristofferC/KDTrees.jl) :: KD Trees.
 + [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.

+ 6 - 5
Build-Automation.md

@@ -67,16 +67,17 @@ __Pre-compiled Binaries__
 + Build an executable binary with [this script](https://github.com/JuliaLang/julia/blob/master/contrib/build_executable.jl)
 
 ### Package/Infrastructure management tools and Documentation
-- Official [Julia Package list](http://pkg.julialang.org/).
-- [METADATA.jl](https://github.com/JuliaLang/METADATA.jl) :: The official set of Julia packages.
-- [MetadataTools.jl](https://github.com/IainNZ/MetadataTools.jl) :: Functionality to analyze the structure of Julia's METADATA repository.
++ Official [Julia Package list](http://pkg.julialang.org/).
++ [METADATA.jl](https://github.com/JuliaLang/METADATA.jl) :: The official set of Julia packages.
++ [MetadataTools.jl](https://github.com/IainNZ/MetadataTools.jl) :: Functionality to analyze the structure of Julia's METADATA repository.
    - [packages.julialang.org](https://github.com/IainNZ/packages.julialang.org) :: Concept for a next-gen package listing.
    - [cache.julialang.org](https://github.com/staticfloat/cache.julialang.org) :: Super-simple bottle-caching infrastructure for the site.
    - [Package Development Documentation](http://docs.julialang.org/en/latest/manual/packages/#package-development)   
++ [Help.jl](https://github.com/nkottary/Help.jl) :: Reverse documentation for Julia.
 
 ##### DOCS
-- Official [Julia Package list](http://docs.julialang.org/en/latest/packages/packagelist/).
-- The [Julia package manager manual](http://docs.julialang.org/en/latest/manual/packages/)
++ Official [Julia Package list](http://docs.julialang.org/en/latest/packages/packagelist/).
++ The [Julia package manager manual](http://docs.julialang.org/en/latest/manual/packages/)
       - [Package Development Documentation](http://docs.julialang.org/en/latest/manual/packages/#package-development)