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Curated list: Resources for machine learning in Ruby

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Mar 07, 2021

Projects and Code Examples / Gradient boosting

• Handwritten Digits Recognition (⭐4) - Handwritten digits recognition using Neural Networks and Ruby.

Nov 16, 2020

✨ Tutorials

• Ruby neural networks

Oct 22, 2020

Related Resources / Gradient boosting

• iRuby (⭐728) - IRuby kernel for Jupyter (formerly IPython).

Jul 28, 2020

Machine Learning Libraries / Deep learning

• red-chainer (⭐99) - Deep learning framework for Ruby.

• mxnet (⭐49) - Ruby bindings for mxnet.

Dec 07, 2019

Machine Learning Libraries / Deep learning

• torch-rb (⭐458) - Ruby bindings for LibTorch (⭐60k) using rice (⭐329).

Aug 26, 2019

Machine Learning Libraries / Deep learning

• ruby-dnn (⭐40) - Simple deep learning for Ruby.

Aug 21, 2019

Related Resources / Gradient boosting

• LightGBM (⭐14k)

• XGBoost (⭐23k)

Jun 03, 2019

Machine Learning Libraries / Frameworks

• eps (⭐594) - Bayesian Classification and Linear Regression with exports using PMML and an alternative backend using GSL.

Jun 01, 2019

Machine Learning Libraries / Frameworks

• rumale (⭐617) - Machine Learninig toolkit in Ruby with wide range of implemented algorithms (SVM, Logistic Regression, Linear Regression, Random Forest etc.) and interfaces similar to Scikit-Learn in Python.

Machine Learning Libraries / Deep learning

• tensorflow (⭐821) - Ruby bindings for TensorFlow.

Related Resources / Gradient boosting

• [GSL (GNU Scientific Library)][gls]

• ImageMagick

Feb 26, 2019

Articles, Posts, Talks, and Presentations / Gradient boosting

• 2013
  • Sentiment Analysis using Support Vector Machines in Ruby by Matthew Kirk ^{[video | code (⭐13)]}
  • Recommender Systems with Ruby by Marcel Caraciolo ^[slides]
  • Detecting Faces with Ruby: FFI in a Nutshell by Marc Berszick ^[post]

Jan 19, 2019

Articles, Posts, Talks, and Presentations / Gradient boosting

• 2019
  • TensorStream: Bringing Machine Learning to Ruby by Joseph Emmanuel Dayo ^[post]
  • Easy machine learning with Ruby using SVMKit by @kojix ^[post]

Jan 08, 2019

Machine Learning Libraries / Frameworks

• shogun (⭐2.9k) - Polyfunctional and mature machine learning toolbox with Ruby bindings (⭐2.9k).

Machine Learning Libraries / Deep learning

• tensor_stream (⭐505) - Ground-up and standalone reimplementation of TensorFlow for Ruby.

Articles, Posts, Talks, and Presentations / Gradient boosting

• 2018
  • Deep Learning Programming on Ruby by Kenta Murata & Yusaku Hatanaka ^{[slides | page]}
  • How to use trained Keras and TensorFlow machine learning models within Ruby on Rails by Denis Sellu ^[post]

Related Resources / Gradient boosting

• scikit-learn algorithm cheatsheet

Apr 14, 2018

✨ Tutorials

• How to evolve neural networks in Ruby using the Machine Learning Workbench (⭐18)

Machine Learning Libraries / Frameworks

• machine_learning_workbench (⭐18) - Growing machine learning framework written in pure Ruby, high performance computing using Numo, CUDA bindings through Cumo (⭐90). Currently implementating neural networks, evolutionary strategies, vector quantization, and plenty of examples and utilities.

• Deep NeuroEvolution (⭐127) - Experimental setup based on the machine_learning_workbench (⭐18) towards searching for deep neural networks (rather than training) using evolutionary algorithms. Applications to the OpenAI Gym (⭐29k) using PyCall (⭐866).

Machine Learning Libraries / Neural networks

• machine_learning_workbench (⭐18) - Framework including pure-Ruby implementation of both feed-forward and recurrent neural networks (fully connected). Training available using neuroevolution (Natural Evolution Strategies algorithms).

Machine Learning Libraries / Evolutionary algorithms

• machine_learning_workbench (⭐18) - Framework including pure-Ruby implementations of Natural Evolution Strategy algorithms (black-box optimization), specifically Exponential NES (XNES), Separable NES (sNES), Block-Diagonal NES (BDNES) and more. Applications include neural network search/training (neuroevolution).

Articles, Posts, Talks, and Presentations / Gradient boosting

• 2015
  • Machine Learning made simple with Ruby by Lorenzo Masini ^[post]
  • Using Ruby Machine Learning to Find Paris Hilton Quotes by Rick Carlino ^[tutorial]

Dec 14, 2017

Machine Learning Libraries / Neural networks

• rann (⭐3) - Flexible Ruby ANN implementation with backprop (through-time, for recurrent nets), gradient checking, adagrad, and parallel batch execution.

Related Resources / Gradient boosting

• OpenCV

Oct 02, 2017

✨ Tutorials

• Using the Python scikit-learn machine learning library in Ruby using PyCall ^{[code (⭐3)]}

Sep 11, 2017

✨ Tutorials

• How to implement classification using logistic regression in Ruby

• Teaching an AI to play a simple game using Q-Learning in Ruby ^{[code (⭐36)]}

• Teaching a Neural Network to play a game using Q-Learning in Ruby ^{[code (⭐36)]}

Aug 02, 2017

✨ Tutorials

• Unsupervised learning using k-means clustering in Ruby ^{[code (⭐0)]}

Jul 16, 2017

✨ Tutorials

• How to implement classification using a SVM in Ruby ^{[code (⭐5)]}

Machine Learning Libraries / Frameworks

• aws-sdk-machinelearning (⭐3.4k) - Machine Learning API of the Amazon Web Services.

• azure_mgmt_machine_learning (⭐272) - Machine Learning API of the Microsoft Azure.

Jul 07, 2017

Community / Gradient boosting

• SciRuby Mailing List

• SciRuby Slack

• Red Data Gitter

• Reddit

• Stack Overflow

• Twitter

• NonWebRuby

Jul 06, 2017

Articles, Posts, Talks, and Presentations / Gradient boosting

• 2011
  • Clustering in Ruby by Colin Drake ^[post]
  • Text Classification using Support Vector Machines in Ruby by Rimas Silkaitis ^[post]

Jul 05, 2017

Articles, Posts, Talks, and Presentations / Gradient boosting

• 2017
  • Scientific Computing on JRuby by Prasun Anand ^{[slides | video | slides | slides]}
  • Is it Food? An Introduction to Machine Learning by Matthew Mongeau ^{[video | slides]}
  • Bayes is BAE by Richard Schneeman ^{[video | slides]}
  • Ruby Roundtable: Machine Learning in Ruby by RubyThursday ^[video]

• 2016
  • Practical Machine Learning with Ruby by Jordan Hudgens ^[tutorial]
  • Deep Learning: An Introduction for Ruby Developers by Geoffrey Litt ^[slides]
  • How I made a pure-Ruby word2vec program more than 3x faster by Kei Sawada ^[slides]
  • Dōmo arigatō, Mr. Roboto: Machine Learning with Ruby by Eric Weinstein ^{[slides | video]}
  • Building a Recommendation Engine with Machine Learning Techniques by Brian Sam-Bodden ^[video]
  • ✨ SciRuby Machine Learning: Current Status and Future by Kenta Murata ^{[slides | video: jp]}
  • Ruby Roundtable: Intro to Tensorflow by RubyThursday ^[video]

Jul 04, 2017

✨ Tutorials

• How to implement linear regression in Ruby ^{[code (⭐5)]}

• How to implement simple binary classification using a Neural Network in Ruby ^{[code (⭐10)]}

Books, Blogs, Channels / Gradient boosting

• Practical Artificial Intelligence - Blog about Artificial Intelligence and Machine Learning with tutorials and code samples in Ruby.

Jun 28, 2017

Machine Learning Libraries / Frameworks

• rblearn (⭐1) - Feature Extraction and Crossvalidation library.

• data_modeler (⭐1) - Model your data with machine learning. Ample test coverage, examples to start fast, complete documentation. Production ready since 1.0.0.

Jun 21, 2017

Articles, Posts, Talks, and Presentations / Gradient boosting

• 2012
  • Machine Learning with Ruby, Part One by Vasily Vasinov ^[tutorial]
  • Recurrent Neural Networks in Ruby by Joseph Wilk ^[post]
  • Recommendation Engines using Machine Learning, and JRuby by Matthew Kirk ^[video]
  • Practical Machine Learning and Rails by Andrew Cantino and Ryan Stout ^[video]

• 2010
  • bayes_motel – Bayesian classification for Ruby by Mike Perham ^[post]
  • Intelligent Ruby: Getting Started with Machine Learning by Ilya Grigorik ^[video]

May 18, 2017

Projects and Code Examples / Gradient boosting

• simple_ga (⭐7) - Basic (working) demo of Genetic Algorithms in Ruby.

May 17, 2017

Machine Learning Libraries / Frameworks

• scoruby (⭐68) - Ruby scoring API for PMML (Predictive Model Markup Language).

May 16, 2017

Machine Learning Libraries / Frameworks

• weka (⭐67) - JRuby bindings for Weka, different ML algorithms implemented through Weka.

• ai4r (⭐709) - Artificial Intelligence for Ruby.

• classifier-reborn (⭐531) - General classifier module to allow Bayesian and other types of classifications. ^{[dep: GLS]}

Machine Learning Libraries / Neural networks

• neural-net-ruby (⭐114) - Neural network written in Ruby.

• ruby-fann (⭐451) - Ruby bindings to the Fast Artificial Neural Network Library (FANN).

• cerebrum (⭐35) - Experimental implementation for Artificial Neural Networks in Ruby.

• tlearn-rb (⭐97) - Recurrent Neural Network library for Ruby.

• brains (⭐60) - Feed-forward neural networks for JRuby based on brains (⭐0).

Machine Learning Libraries / Bayesian methods

• linnaeus (⭐37) - Redis-backed Bayesian classifier.

• naive_bayes (⭐46) - Simple Naive Bayes classifier.

• nbayes (⭐149) - Full-featured, Ruby implementation of Naive Bayes.

Machine Learning Libraries / Linear classifiers

• liblinear-ruby-swig (⭐82) - Ruby interface to LIBLINEAR (much more efficient than LIBSVM for text classification).

• liblinear-ruby (⭐84) - Ruby interface to LIBLINEAR using SWIG.

Projects and Code Examples / Gradient boosting

• Wine Clustering (⭐0) - Wine quality estimations clustered with different algorithms.

Apr 26, 2017

Heroku buildpacks / Gradient boosting

• GSL and Ruby buildpack (⭐3)

• OpenCV and Ruby buildpack (⭐3)

• ImageMagick buildpack (⭐46)

Related Resources / Gradient boosting

• Graphviz

• Gnuplot

• X11/XQuartz

• R

• Octave

Apr 21, 2017

Books, Blogs, Channels / Gradient boosting

• Kirk, Matthew. Thoughtful Machine Learning: A Test-Driven Approach. O'Reilly, 2014. ^{[Amazon | code (⭐127)]}

Apr 20, 2017

Articles, Posts, Talks, and Presentations / Gradient boosting

• 2009

• 2007
  • Decision Tree Learning in Ruby by Ilya Grigorik ^[post]

Related Resources / Gradient boosting

• Awesome Ruby (⭐12k) - Among other awesome items a short list of NLP related projects.

• Ruby NLP (⭐1.2k) - State-of-Art collection of Ruby libraries for NLP.

• Speech and Natural Language Processing (⭐2.1k) - General List of NLP related resources (mostly not for Ruby programmers).

• Scientific Ruby - Linear Algebra, Visualization and Scientific Computing for Ruby.

• Kiba (⭐1.7k) - Lightweight ETL (Extract, Transform, Load) pipeline.

• Awesome OCR (⭐2.2k) - Multitude of OCR (Optical Character Recognition) resources.

• Awesome TensorFlow (⭐17k) - Machine Learning with TensorFlow libraries.

• rb-gsl (⭐93) - Ruby interface to the GNU Scientific Library.

• The Definitive Guide to Ruby's C API - Modern Reference and Tutorial on Embedding and Extending Ruby using C programming language.