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AI, Algorithms, Data Mining, (Array) Data Structures, Machine Learning, NLP, ...

Table of Contents ALGORITHMS Markov models Common Search Algorithms Clustering algorithms (Array, Matrix) Data Structures Quantum Algorithms Neural Networks ML, DataScience Algorithms NLP Unicode, Encodings

ALGORITHMS

Markov models

• Pagerank.jl:: An experiment in pagerank on graphs in the order of billions of edges - Currently tested with over half a billion edges.

Common Search Algorithms

• NearestNeighbors.jl:: Data structures for nearest neighbor search.
• Loess.jl:: is a loess implementation based on the fast kd-tree based approximation algorithm, a space-partitioning data structure for organizing points in a k-dimensional space.
• AhoCorasick.jl:: Julia implementation of the Aho-Corasick algorithm for fast string searching.

Clustering algorithms

• Clustering.jl:: Basic functions for [clustering], etc..

(Array, Matrix) Data Structures

• ArrayViews.jl :: A Julia package to explore a new system of array views.
• Bloom filters are a probabilistic data structure that can be used to test the inclusion and exclusion of items in a list.
• DataFramesMeta.jl:: Metaprogramming tools for DataFrames.
• DataFramesMeta.jl:: Metaprogramming tools for DataFrames.
• FArrayMod.jl:: provides the ability to use arbitrary starting indices for arrays in Julia programming language.
• Graphs.jl:: Working with graph types and algorithms in Julia. Documentation for the Graphs.jl package.
• Grid.jl:: Interpolation and related operations on grids for the Julia language.
• ImmutableArrays.jl:: Statically-sized immutable vectors and matrices.
• InverseService:: Matrix Inverse as a Service.
• JSparse.jl :: A Julia implementation of functions in the CSparse and CXSparse libraries developed by Tim Davis.
• LDA.jl:: Linear Discriminant Analysis and Kernel Fisher Analysis.
• Named.jl:: Julia named index and named vector types.
• NamedArray, a Julia type that implements a drop-in replacement of Array with named dimensions and Dict-type indexes.
• Networks.jl:: A library for working with Graphs in Julia.
• OffsetArrays.jl:: provides the ability to use arbitrary starting indices for arrays in Julia.
• TimeArrays.jl :: temporary repo exploring the union of SeriesPair arrays into multicolumn arrays with similar behavior.
• Trie.jl :: Implementation of the trie data structure.
• Sims.jl:: Non-causal, equation-based modeling in Julia.

Quantum Algorithms

• Hadamard.jl:: Fast multidimensional Walsh-Hadamard transforms.

Neural Networks

• neural.jl:: is a Julia implementation of a neural network, based on Sergio Fierens ruby version.
• neuralnetwork.jl:: is an implementation of label neural network originally written for MATLAB/Octave by Andrew Ng for Coursera Machine Learning Class.

ML, DataScience Algorithms

• Decision Tree
• The K-nearest neighbors algorithm in Julia.
• MachineLearning.jl:: is a Machine Learning library package that is an attempt to consolidate common machine learning algorithms written in pure Julia and presenting a consistent API.
• MDP.jl:: Markov Decision Processes in Julia.
• MLBase.jl:: A set of functions to support the development of machine learning algorithms.

NLP

• LTSV.jl:: Labeled Tab Separated Values (LTSV) parser in Julia.
• PyLexYacc.jl, an interface to Python Lex-Yacc package that uses reflection for most of its processing.
• Peter Norvig's spelling corrector ported to Julia, now a part of the DataStructures.jl package.
• Stemmers.jl:: Interface for text stemmer implementations.
• TypeCheck.jl:: a TypeChecker for Julia.
• Julia package for text analysis.

Unicode, Encodings

• ASCIIByte.jl:: Julia package to deal with Characters of 8 bits.
• Codecs.jl:: Common data encoding algorithms.
• ICU.jl :: Julia wrapper for the International Components for Unicode (ICU) library.
• UnicodeExtras.jl
• UTF16.jl :: UTF16 string type for Julia.

garbageWorking with graph types and algorithms in Julia. Documentation for the Graphs.jl package.

• Grid.jl:: Interpolation and related operations on grids for the Julia language.
• ImmutableArrays.jl:: Statically-sized immutable vectors and matrices.
• InverseService:: Matrix Inverse as a Service.
• JSparse.jl :: A Julia implementation of functions in the CSparse and CXSparse libraries developed by Tim Davis.
• LDA.jl:: Linear Discriminant Analysis and Kernel Fisher Analysis.
• Named.jl:: Julia named index and named vector types.
• NamedArray, a Julia type that implements a drop-in replacement of Array with named dimensions and Dict-type indexes.
• Networks.jl:: A library for working with Graphs in Julia.
• OffsetArrays.jl:: provides the ability to use arbitrary starting indices for arrays in Julia.
• TimeArrays.jl :: temporary repo exploring the union of SeriesPair arrays into multicolumn arrays with similar behavior.
• Trie.jl :: Implementation of the trie data structure.
• Sims.jl:: Non-causal, equation-based modeling in Julia.

Quantum Algorithms

• Hadamard.jl:: Fast multidimensional Walsh-Hadamard transforms.

Neural Networks

• neural.jl:: is a Julia implementation of a neural network, based on Sergio Fierens ruby version.
• neuralnetwork.jl:: is an implementation of label neural network originally written for MATLAB/Octave by Andrew Ng for Coursera Machine Learning Class.

ML, DataScience Algorithms

• Decision Tree
• The K-nearest neighbors algorithm in Julia.
• MachineLearning.jl:: is a Machine Learning library package that is an attempt to consolidate common machine learning algorithms written in pure Julia and presenting a consistent API.
• MDP.jl:: Markov Decision Processes in Julia.
• MLBase.jl:: A set of functions to support the development of machine learning algorithms.

NLP

• LTSV.jl:: Labeled Tab Separated Values (LTSV) parser in Julia.
• PyLexYacc.jl, an interface to Python Lex-Yacc package that uses reflection for most of its processing.
• Peter Norvig's spelling corrector ported to Julia, now a part of the DataStructures.jl package.
• Stemmers.jl:: Interface for text stemmer implementations.
• TypeCheck.jl:: a TypeChecker for Julia.
• Julia package for text analysis.

Unicode, Encodings

• ASCIIByte.jl:: Julia package to deal with Characters of 8 bits.
• Codecs.jl:: Common data encoding algorithms.
• ICU.jl :: Julia wrapper for the International Components for Unicode (ICU) library.
• UnicodeExtras.jl
• UTF16.jl :: UTF16 string type for Julia.

garbage[clustering], etc..

(Array, Matrix) Data Structures

• ArrayViews.jl :: A Julia package to explore a new system of array views.
• Bloom filters are a probabilistic data structure that can be used to test the inclusion and exclusion of items in a list.
• DataFramesMeta.jl:: Metaprogramming tools for DataFrames.
• DataFramesMeta.jl:: Metaprogramming tools for DataFrames.
• FArrayMod.jl:: provides the ability to use arbitrary starting indices for arrays in Julia programming language.
• Graphs.jl:: Working with graph types and algorithms in Julia. Documentation for the Graphs.jl package.
• Grid.jl:: Interpolation and related operations on grids for the Julia language.
• ImmutableArrays.jl:: Statically-sized immutable vectors and matrices.
• InverseService:: Matrix Inverse as a Service.
• JSparse.jl :: A Julia implementation of functions in the CSparse and CXSparse libraries developed by Tim Davis.
• LDA.jl:: Linear Discriminant Analysis and Kernel Fisher Analysis.
• Named.jl:: Julia named index and named vector types.
• NamedArray, a Julia type that implements a drop-in replacement of Array with named dimensions and Dict-type indexes.
• Networks.jl:: A library for working with Graphs in Julia.
• OffsetArrays.jl:: provides the ability to use arbitrary starting indices for arrays in Julia.
• TimeArrays.jl :: temporary repo exploring the union of SeriesPair arrays into multicolumn arrays with similar behavior.
• Trie.jl :: Implementation of the trie data structure.
• Sims.jl:: Non-causal, equation-based modeling in Julia.

Quantum Algorithms

• Hadamard.jl:: Fast multidimensional Walsh-Hadamard transforms.

Neural Networks

• neural.jl:: is a Julia implementation of a neural network, based on Sergio Fierens ruby version.
• neuralnetwork.jl:: is an implementation of label neural network originally written for MATLAB/Octave by Andrew Ng for Coursera Machine Learning Class.

ML, DataScience Algorithms

• Decision Tree
• The K-nearest neighbors algorithm in Julia.
• MachineLearning.jl:: is a Machine Learning library package that is an attempt to consolidate common machine learning algorithms written in pure Julia and presenting a consistent API.
• MDP.jl:: Markov Decision Processes in Julia.
• MLBase.jl:: A set of functions to support the development of machine learning algorithms.

NLP

• LTSV.jl:: Labeled Tab Separated Values (LTSV) parser in Julia.
• PyLexYacc.jl, an interface to Python Lex-Yacc package that uses reflection for most of its processing.
• Peter Norvig's spelling corrector ported to Julia, now a part of the DataStructures.jl package.
• Stemmers.jl:: Interface for text stemmer implementations.
• TypeCheck.jl:: a TypeChecker for Julia.
• Julia package for text analysis.

Unicode, Encodings

• ASCIIByte.jl:: Julia package to deal with Characters of 8 bits.
• Codecs.jl:: Common data encoding algorithms.
• ICU.jl :: Julia wrapper for the International Components for Unicode (ICU) library.
• UnicodeExtras.jl
• UTF16.jl :: UTF16 string type for Julia.

garbageWorking with graph types and algorithms in Julia. Documentation for the Graphs.jl package.

• Grid.jl:: Interpolation and related operations on grids for the Julia language.
• ImmutableArrays.jl:: Statically-sized immutable vectors and matrices.
• InverseService:: Matrix Inverse as a Service.
• JSparse.jl :: A Julia implementation of functions in the CSparse and CXSparse libraries developed by Tim Davis.
• LDA.jl:: Linear Discriminant Analysis and Kernel Fisher Analysis.
• Named.jl:: Julia named index and named vector types.
• NamedArray, a Julia type that implements a drop-in replacement of Array with named dimensions and Dict-type indexes.
• Networks.jl:: A library for working with Graphs in Julia.
• OffsetArrays.jl:: provides the ability to use arbitrary starting indices for arrays in Julia.
• TimeArrays.jl :: temporary repo exploring the union of SeriesPair arrays into multicolumn arrays with similar behavior.
• Trie.jl :: Implementation of the trie data structure.
• Sims.jl:: Non-causal, equation-based modeling in Julia.

Quantum Algorithms

• Hadamard.jl:: Fast multidimensional Walsh-Hadamard transforms.

Neural Networks

• neural.jl:: is a Julia implementation of a neural network, based on Sergio Fierens ruby version.
• neuralnetwork.jl:: is an implementation of label neural network originally written for MATLAB/Octave by Andrew Ng for Coursera Machine Learning Class.

ML, DataScience Algorithms

• Decision Tree
• The K-nearest neighbors algorithm in Julia.
• MachineLearning.jl:: is a Machine Learning library package that is an attempt to consolidate common machine learning algorithms written in pure Julia and presenting a consistent API.
• MDP.jl:: Markov Decision Processes in Julia.
• MLBase.jl:: A set of functions to support the development of machine learning algorithms.

NLP

• LTSV.jl:: Labeled Tab Separated Values (LTSV) parser in Julia.
• PyLexYacc.jl, an interface to Python Lex-Yacc package that uses reflection for most of its processing.
• Peter Norvig's spelling corrector ported to Julia, now a part of the DataStructures.jl package.
• Stemmers.jl:: Interface for text stemmer implementations.
• TypeCheck.jl:: a TypeChecker for Julia.
• Julia package for text analysis.

Unicode, Encodings

• ASCIIByte.jl:: Julia package to deal with Characters of 8 bits.
• Codecs.jl:: Common data encoding algorithms.
• ICU.jl :: Julia wrapper for the International Components for Unicode (ICU) library.
• UnicodeExtras.jl
• UTF16.jl :: UTF16 string type for Julia.