graph-rank
by louismullie
Ruby implementation of the PageRank and TextRank algorithms.
AI summary
Link analysis algorithms
An implementation of PageRank and TextRank algorithms in Ruby.
- stars
- 75
- forks
- 11
- watching
- 6
Similar projects
Found by comparing what the projects do, not just their names.
NLP library
Ruby bindings to a Java machine learning toolkit for natural language processing
NLP framework
A Ruby-based toolkit for natural language processing and computational linguistics
NLP toolkit
Provides Ruby bindings to Stanford Core NLP tools for natural language processing tasks
PageRank solver
An implementation of PageRank algorithm for weighted graphs in Go.
Machine Learning Library
Provides an interface to train and predict with machine learning models using LIBLINEAR
Algorithms library
Implementations of various algorithms and data structures in Ruby
Graph ranking processor
A system for efficiently computing personalized page rank vectors on large graphs using distributed indexing and online querying
Graph library
A Ruby library implementing graph data structures and algorithms
Sentence splitter
A Ruby library that uses a simple rule-based approach to segment sentences into individual words or phrases.
Algorithm library
An implementation of classic algorithms and data structures in Lua
ML library
A collection of machine learning algorithms implemented in Ruby
ML algorithms
A collection of machine learning algorithms implemented in Scala for prototyping and experimentation.
Linked Data Generator
A Java library that generates high-quality Linked Data from multiple semi-structured data sources using RML rules.
Linear classifier library
A Ruby interface to a high-performance machine learning library for large-scale text classification and other linear classifications
monora/rgl415
Graph library
A framework for graph data structures and algorithms in Ruby.