machine_learning_workbench
Machine learning toolkit
A comprehensive framework for practical machine learning in Ruby.
Workbench for practical machine learning in Ruby.
20 stars
2 watching
4 forks
Language: Ruby
last commit: about 3 years ago
Linked from 1 awesome list
black-box-optimizationevolution-strategiesevolutionary-algorithmevolutionary-algorithmsevolutionary-computationevolutionary-strategymachine-learningmachine-learning-algorithmsmachine-learning-workbenchmodelingnatural-evolution-strategiesneural-networkneural-networksneuroevolutionoptimizationoptimization-algorithmsreinforcement-learningrubyml
arbox/machine-learning-with-rubyRelated projects:
| Repository | Description | Stars |
|---|---|---|
 kei500/liblinear-ruby | Provides an interface to train and predict with machine learning models using LIBLINEAR | 83 |
 monkeylearn/monkeylearn-ruby | Provides an official Ruby client for the MonkeyLearn API to build and consume machine learning models for language processing from Ruby apps. | 80 |
 mizor/machine-learning-ruby | A Ruby implementation of common machine learning algorithms and techniques | 13 |
 tsycho/ruby-machine-learning | A collection of machine learning algorithms implemented in Ruby | 31 |
 ankane/eps | A machine learning library for Ruby that allows users to build predictive models quickly and easily. | 657 |
 ryuk17/machinelearning | This is a collection of machine learning algorithms implemented in Python 3.6. | 103 |
 paulgoetze/weka-jruby | Provides a JRuby wrapper around the Weka Java library for machine learning and data mining in Ruby. | 65 |
 louismullie/open-nlp | Ruby bindings to a Java machine learning toolkit for natural language processing | 91 |
 edwardraff/jsat | A Java library providing a range of machine learning algorithms and tools for statistical analysis | 789 |
| ankane/xgboost-ruby | High-performance machine learning library with a Ruby interface to XGBoost gradient boosting algorithm | 105 |
 yoshoku/rumale | A Ruby machine learning library providing interfaces to various algorithms | 785 |
 febeling/rb-libsvm | Ruby language bindings for LIBSVM | 279 |
 somnibyte/mlkit | A framework for implementing machine learning algorithms in Swift to make it easier for developers to incorporate ML into their projects. | 152 |
 jedld/brains-jruby | An implementation of a feedforward neural network toolkit for JRuby | 60 |
 danielsdeleo/decider | A flexible and extensible machine learning library for Ruby | 385 |