Collaborative filtering for Ruby

Disco 🔥 Collaborative filtering for Ruby Supports user-based and item-based recommendations Works with explicit and implicit feedback Uses high-performance matrix factorization Installation Add thi

Related Repos

tangledpath RubyFann Fast AI Neural Networks in ruby RubyFann, or "ruby-fann" is a ruby gem that binds to FANN (Fast Artificial Neural Network) from within a ruby/rails environment. FANN is a is a free (native) open source neur

paulgoetze Weka Machine Learning & Data Mining with JRuby based on the Weka Java library. Installation Add this line to your application's Gemfile: gem 'weka' And then execute: $ bundle install Or install it you

marloncarvalho Ruby Datumbox Wrapper It's a simple Ruby Datumbox Wrapper. It has only one class, called Datumbox (datumbox.rb), which makes all the work for you. We use the RestClient library to make remote calls to the Datumbox API. This class

febeling rb-libsvm -- Ruby language bindings for LIBSVM This package provides a Ruby bindings to the LIBSVM library. SVM is a machine learning and classification algorithm, and LIBSVM is a popular free implementation of it, written by

apache PredictionIO Ruby SDK The Ruby SDK provides a convenient wrapper for the PredictionIO API. It allows you to quickly record your users' behavior and retrieve personalized predictions for them. Documentation Full R

arbox Machine Learning with Ruby Useful resources for machine learning in Ruby This curated list comprises awesome resources, libraries, information sources about Machine Learning with the Ruby programming language. This list

jedld TensorStream TensorStream is an opensource framework for machine learning for ruby, its goal is to allow machine learning models to be easily built and run them in various hardware like GPUs and CPUs. It is heavily based on Te

ankane Eps Linear regression for Ruby Build models quickly and easily Serve models built in Ruby, Python, R, and more Automatically handles categorical variables No external dependencies Works great with the SciRuby ecosyste