graph-rank
Link analysis algorithms
An implementation of PageRank and TextRank algorithms in Ruby.
Ruby implementation of the PageRank and TextRank algorithms.
75 stars
6 watching
11 forks
Language: Ruby
last commit: over 8 years ago Related projects:
Repository | Description | Stars |
---|---|---|
louismullie/open-nlp | Ruby bindings to a Java machine learning toolkit for natural language processing | 91 |
louismullie/treat | A Ruby-based toolkit for natural language processing and computational linguistics | 1,366 |
louismullie/stanford-core-nlp | Provides Ruby bindings to Stanford Core NLP tools for natural language processing tasks | 432 |
alixaxel/pagerank | An implementation of PageRank algorithm for weighted graphs in Go. | 85 |
kei500/liblinear-ruby | Provides an interface to train and predict with machine learning models using LIBLINEAR | 83 |
kumar91gopi/algorithms-and-data-structures-in-ruby | Implementations of various algorithms and data structures in Ruby | 719 |
lqhl/powerwalk | A system for efficiently computing personalized page rank vectors on large graphs using distributed indexing and online querying | 15 |
bruce/graphy | A Ruby library implementing graph data structures and algorithms | 48 |
louismullie/scalpel | A Ruby library that uses a simple rule-based approach to segment sentences into individual words or phrases. | 51 |
evandrolg/computer_science_in_lua | An implementation of classic algorithms and data structures in Lua | 50 |
tsycho/ruby-machine-learning | A collection of machine learning algorithms implemented in Ruby | 31 |
valdanylchuk/swiftlearner | A collection of machine learning algorithms implemented in Scala for prototyping and experimentation. | 39 |
rmlio/rmlmapper-java | Executes RML rules to generate high-quality Linked Data from multiple data sources | 158 |
tomz/liblinear-ruby-swig | A Ruby interface to a high-performance machine learning library for large-scale text classification and other linear classifications | 83 |
monora/rgl | A framework for graph data structures and algorithms in Ruby. | 415 |