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Title: GitHub - arbox/machine-learning-with-ruby: Curated list: Resources for machine learning in Ruby

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Description: Curated list: Resources for machine learning in Ruby - arbox/machine-learning-with-ruby

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X Description: Curated list: Resources for machine learning in Ruby - arbox/machine-learning-with-ruby

Opengraph URL: https://github.com/arbox/machine-learning-with-ruby

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	https://patch-diff.githubusercontent.com/arbox/machine-learning-with-ruby/blob/master/header.png
	https://github.com/sindresorhus/awesome#readme
	https://www.patreon.com/arbox
RubyNLP	https://github.com/arbox/nlp-with-ruby
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	https://www.ruby-lang.org/en/
	https://patch-diff.githubusercontent.com/arbox/machine-learning-with-ruby#awesome-machine-learning-with-ruby-
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Computational Science	https://en.wikipedia.org/wiki/Computational_science
AI	https://en.wikipedia.org/wiki/Artificial_intelligence
features	https://en.wikipedia.org/wiki/Feature_engineering
training set	https://en.wikipedia.org/wiki/Test_set
awesome	https://github.com/sindresorhus/awesome/blob/master/awesome.md
Machine Learning	https://en.wikipedia.org/wiki/Machine_learning
Ruby	https://www.ruby-lang.org/en/
The Ruby Science Foundation	https://github.com/sciruby
contributors	https://github.com/arbox/machine-learning-with-ruby/graphs/contributors
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	https://patch-diff.githubusercontent.com/arbox/machine-learning-with-ruby#contents
✨ Tutorials	https://patch-diff.githubusercontent.com/arbox/machine-learning-with-ruby#sparkles-tutorials
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	https://patch-diff.githubusercontent.com/arbox/machine-learning-with-ruby#sparkles-tutorials
Ruby neural networks	https://www.honeybadger.io/blog/ruby-neural-networks/
How to implement linear regression in Ruby	https://www.practicalai.io/implementing-linear-regression-using-ruby/
code	https://github.com/daugaard/example-linear-regression
How to implement classification using logistic regression in Ruby	https://www.practicalai.io/implementing-classification-using-logistic-regression-in-ruby/
How to implement simple binary classification using a Neural Network in Ruby	https://www.practicalai.io/implementing-simple-classification-using-neural-network-in-ruby/
code	https://github.com/daugaard/example-neural-network
How to implement classification using a SVM in Ruby	https://www.practicalai.io/implementing-classification-using-a-svm-in-ruby/
code	https://github.com/daugaard/example-svm
Unsupervised learning using k-means clustering in Ruby	https://www.practicalai.io/unsupervised-learning-using-k-means-clustering-in-ruby/
code	https://github.com/daugaard/example-kmeans-clustering
Teaching an AI to play a simple game using Q-Learning in Ruby	https://www.practicalai.io/teaching-ai-play-simple-game-using-q-learning/
code	https://github.com/daugaard/q-learning-simple-game
Teaching a Neural Network to play a game using Q-Learning in Ruby	https://www.practicalai.io/teaching-a-neural-network-to-play-a-game-with-q-learning/
code	https://github.com/daugaard/q-learning-simple-game/tree/neuralnetwork
Using the Python scikit-learn machine learning library in Ruby using PyCall	https://www.practicalai.io/using-scikit-learn-machine-learning-library-in-ruby-using-pycall/
code	https://github.com/daugaard/scikit-learn-from-ruby
How to evolve neural networks in Ruby using the Machine Learning Workbench	https://github.com/giuse/machine_learning_workbench/blob/master/examples/neuroevolution.rb
	https://patch-diff.githubusercontent.com/arbox/machine-learning-with-ruby#machine-learning-libraries
Machine Learning	https://en.wikipedia.org/wiki/Machine_learning
	https://patch-diff.githubusercontent.com/arbox/machine-learning-with-ruby#frameworks
LangChain.rb	https://github.com/andreibondarev/langchainrb
weka	https://github.com/paulgoetze/weka-jruby
ai4r	https://github.com/SergioFierens/ai4r
classifier-reborn	https://github.com/jekyll/classifier-reborn
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data_modeler	https://github.com/giuse/data_modeler
shogun	https://github.com/shogun-toolbox/shogun
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aws-sdk-machinelearning	https://github.com/aws/aws-sdk-ruby
azure_mgmt_machine_learning	https://github.com/Azure/azure-sdk-for-ruby
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rumale	https://github.com/yoshoku/rumale
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eps	https://github.com/ankane/eps
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	https://patch-diff.githubusercontent.com/arbox/machine-learning-with-ruby#neural-networks
neural-net-ruby	https://github.com/gbuesing/neural-net-ruby
ruby-fann	https://github.com/tangledpath/ruby-fann
Fast Artificial Neural Network Library (FANN)	http://leenissen.dk/fann/wp/
cerebrum	https://github.com/irfansharif/cerebrum
tlearn-rb	https://github.com/josephwilk/tlearn-rb
brains	https://github.com/jedld/brains-jruby
brains	https://github.com/jedld/brains
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	https://patch-diff.githubusercontent.com/arbox/machine-learning-with-ruby#deep-learning
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red-chainer	https://github.com/red-data-tools/red-chainer
tensorflow	https://github.com/somaticio/tensorflow.rb
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torch-rb	https://github.com/ankane/torch-rb
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rice	https://github.com/jasonroelofs/rice
mxnet	https://github.com/mrkn/mxnet.rb
mxnet	https://mxnet.apache.org/
	https://patch-diff.githubusercontent.com/arbox/machine-learning-with-ruby#kernel-methods
rb-libsvm	https://github.com/febeling/rb-libsvm
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	https://patch-diff.githubusercontent.com/arbox/machine-learning-with-ruby#evolutionary-algorithms
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	https://patch-diff.githubusercontent.com/arbox/machine-learning-with-ruby#bayesian-methods
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naive_bayes	https://github.com/reddavis/Naive-Bayes
nbayes	https://github.com/oasic/nbayes
	https://patch-diff.githubusercontent.com/arbox/machine-learning-with-ruby#decision-trees
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post	https://www.igvita.com/2007/04/16/decision-tree-learning-in-ruby/
	https://patch-diff.githubusercontent.com/arbox/machine-learning-with-ruby#clustering
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knn	https://github.com/reddavis/knn
	https://patch-diff.githubusercontent.com/arbox/machine-learning-with-ruby#linear-classifiers
liblinear-ruby-swig	https://github.com/tomz/liblinear-ruby-swig
liblinear-ruby	https://github.com/kei500/liblinear-ruby
	https://patch-diff.githubusercontent.com/arbox/machine-learning-with-ruby#statistical-models
rtimbl	https://github.com/maspwr/rtimbl
lda-ruby	https://github.com/ealdent/lda-ruby
LDA	https://en.wikipedia.org/wiki/Latent_Dirichlet_allocation
maxent_string_classifier	https://github.com/mccraigmccraig/maxent_string_classifier
omnicat	https://github.com/mustafaturan/omnicat
omnicat-bayes	https://github.com/mustafaturan/omnicat-bayes
dep: bundled	https://patch-diff.githubusercontent.com/arbox/machine-learning-with-ruby#bundled
	https://patch-diff.githubusercontent.com/arbox/machine-learning-with-ruby#gradient-boosting
xgboost	https://github.com/PairOnAir/xgboost-ruby
dep: XGBoost	https://patch-diff.githubusercontent.com/arbox/machine-learning-with-ruby#xgboost
xgb	https://github.com/ankane/xgb
dep: XGBoost	https://patch-diff.githubusercontent.com/arbox/machine-learning-with-ruby#xgboost
lightgbm	https://github.com/ankane/lightgbm
dep: LightGBM	https://patch-diff.githubusercontent.com/arbox/machine-learning-with-ruby#lightgbm
	https://patch-diff.githubusercontent.com/arbox/machine-learning-with-ruby#vector-search
flann	https://github.com/mariusmuja/flann
FLANN	https://github.com/flann-lib/flann
flann	https://patch-diff.githubusercontent.com/arbox/machine-learning-with-ruby#flann
annoy-rb	https://github.com/yoshoku/annoy.rb
Annoy	https://github.com/spotify/annoy
hnswlib.rb	https://github.com/yoshoku/hnswlib.rb
Hnswlib	https://github.com/nmslib/hnswlib
ngt-ruby	https://github.com/ankane/ngt-ruby
NGT	https://github.com/yahoojapan/NGT
milvus	https://github.com/andreibondarev/milvus
pinecone	https://github.com/ScotterC/pinecone
qdrant-ruby	https://github.com/andreibondarev/qdrant-ruby
weaviate-ruby	https://github.com/andreibondarev/weaviate-ruby
	https://patch-diff.githubusercontent.com/arbox/machine-learning-with-ruby#applications-of-machine-learning
phashion	https://github.com/westonplatter/phashion
ImageMagick	https://patch-diff.githubusercontent.com/arbox/machine-learning-with-ruby#imagemagick
libjpeg	https://patch-diff.githubusercontent.com/arbox/machine-learning-with-ruby#libjpeg
	https://patch-diff.githubusercontent.com/arbox/machine-learning-with-ruby#data-structures
data structures	https://github.com/arbox/data-science-with-ruby#data-structures
Data Science with Ruby	https://github.com/arbox/data-science-with-ruby
	https://patch-diff.githubusercontent.com/arbox/machine-learning-with-ruby#data-visualization
Data Visualization	https://github.com/arbox/data-science-with-ruby#visualization
Data Science with Ruby	https://github.com/arbox/data-science-with-ruby
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Justin Bowen	https://twitter.com/TonsOfFun111
video	https://www.youtube.com/watch?v=HPbizNgcyFk
Joseph Emmanuel Dayo	https://www.linkedin.com/in/jdayo/
post	https://medium.com/@joseph.dayo/tensorstream-bringing-machine-learning-to-ruby-114582060e3d
@kojix	https://twitter.com/kojix2dayo
post	https://dev.to/kojix2/easy-machine-learning-with-ruby-using-svmkit-4n86
Kenta Murata	https://twitter.com/mrkn
Yusaku Hatanaka	https://twitter.com/hatappi
slides	https://speakerdeck.com/mrkn/deep-learning-programming-on-ruby
page	https://rubykaigi.org/2018/presentations/mrkn.html
Denis Sellu	https://twitter.com/denis_sellu
post	https://www.cookieshq.co.uk/posts/how-to-use-trained-keras-and-tensorflow-machine-learning-models-within-ruby-on-rails
Prasun Anand	https://twitter.com/prasun_anand
slides	https://www.slideshare.net/PrasunAnand2/fosdem2017-scientific-computing-on-jruby
video	https://ftp.fau.de/fosdem/2017/K.4.201/ruby_scientific_computing_on_jruby.mp4
slides	https://www.slideshare.net/PrasunAnand2/scientific-computing-on-jruby
slides	https://www.slideshare.net/PrasunAnand2/scientific-computation-on-jruby
Matthew Mongeau	https://twitter.com/halogenandtoast
video	https://www.youtube.com/watch?v=8G709hKkthY
slides	https://www.slideshare.net/halogenandtoast/is-it-food
Richard Schneeman	https://twitter.com/schneems
video	https://www.youtube.com/watch?v=bQSzZrDDV80
slides	https://speakerdeck.com/schneems/bayes-is-bae
RubyThursday	https://rubythursday.com/
video	https://www.youtube.com/watch?v=ScIFARN0jCo
Jordan Hudgens	https://twitter.com/jordanhudgens
tutorial	https://www.crondose.com/2016/12/practical-machine-learning-ruby/
Geoffrey Litt	https://twitter.com/geoffreylitt
slides	https://speakerdeck.com/geoffreylitt/deep-learning-an-introduction-for-ruby-developers
Kei Sawada	https://twitter.com/remore
slides	https://speakerdeck.com/remore/how-i-made-a-pure-ruby-word2vec-program-more-than-3x-faster
Eric Weinstein	https://twitter.com/ericqweinstein
slides	https://speakerdeck.com/ericqweinstein/domo-arigato-mr-roboto-machine-learning-with-ruby
video	https://www.youtube.com/watch?v=T1nFQ49TyeA
Brian Sam-Bodden	https://twitter.com/bsbodden
video	https://www.youtube.com/watch?v=SRnM_P_ygqI
Kenta Murata	https://twitter.com/mrkn
slides	https://speakerdeck.com/mrkn/sciruby-machine-learning-current-status-and-future
video: jp	https://www.youtube.com/watch?v=gfQ8XEy7vO4
RubyThursday	https://rubythursday.com/
video	https://www.youtube.com/watch?v=pYC5mXHUWkc
Lorenzo Masini	https://twitter.com/rugginoso
post	https://www.leanpanda.com/blog/2015-08-24-machine-learning-automatic-classification/
Rick Carlino	https://github.com/RickCarlino
tutorial	https://web.archive.org/web/20160414072324/http://datamelon.io/blog/2015/using-ruby-machine-learning-id-paris-hilton-quotes.html
Matthew Kirk	https://twitter.com/mjkirk
video	https://www.youtube.com/watch?v=ppf8m-3uXvU&t=36s
Benjamin Curtis	https://twitter.com/stympy
video	https://www.youtube.com/watch?v=crziu7dk6Vw
slides	https://speakerdeck.com/stympy/machine-learning-techniques
John Paul Ashenfelter	https://twitter.com/johnashenfelter
video	https://www.youtube.com/watch?v=KC5MtKHm1O4
Matthew Kirk	https://twitter.com/mjkirk
video	https://www.youtube.com/watch?v=iSug6CgxWxc
code	https://github.com/hexgnu/sentiment_analyzer
Marcel Caraciolo	https://twitter.com/marcelcaraciolo
slides	https://www.slideshare.net/marcelcaraciolo/recommender-systems-with-ruby-adding-machine-learning-statistics-etc
Marc Berszick	https://patch-diff.githubusercontent.com/arbox/machine-learning-with-ruby/blob/master
post	https://www.sitepoint.com/detecting-faces-with-ruby-ffi-in-a-nutshell/
Vasily Vasinov	https://twitter.com/vasinov
tutorial	https://www.vasinov.com/blog/machine-learning-with-ruby-part-one/
Joseph Wilk	https://twitter.com/josephwilk
post	http://blog.josephwilk.net/ruby/recurrent-neural-networks-in-ruby.html
Matthew Kirk	https://twitter.com/mjkirk
video	https://www.youtube.com/watch?v=hsZcrlbBg_0
Andrew Cantino	https://twitter.com/tectonic
Ryan Stout	https://twitter.com/ryanstout
video	https://www.youtube.com/watch?v=vy_zQ1-F0JI
Colin Drake	https://twitter.com/colinfdrake
post	https://colindrake.me/post/k-means-clustering-in-ruby/
Rimas Silkaitis	https://twitter.com/neovintage
post	http://neovintage.org/2011/11/14/text-classification-using-support/
Mike Perham	https://twitter.com/mperham
post	http://www.mikeperham.com/2010/04/28/bayes_motel-bayesian-classification-for-ruby/
Ilya Grigorik	https://twitter.com/igrigorik
video	https://vimeo.com/22513786
Ilya Grigorik	https://twitter.com/igrigorik
post	https://www.igvita.com/2008/01/07/support-vector-machines-svm-in-ruby/
Ilya Grigorik	https://twitter.com/igrigorik
post	https://www.igvita.com/2007/04/16/decision-tree-learning-in-ruby/
	https://patch-diff.githubusercontent.com/arbox/machine-learning-with-ruby#projects-and-code-examples
Wine Clustering	https://github.com/hexgnu/wine_clustering
simple_ga	https://github.com/giuse/simple_ga
Handwritten Digits Recognition	https://github.com/jdrzj/handwritten-digits-recognition
	https://patch-diff.githubusercontent.com/arbox/machine-learning-with-ruby#heroku-buildpacks
GSL and Ruby buildpack	https://github.com/tomwolfe/heroku-buildpack-gsl-ruby
OpenCV and Ruby buildpack	https://github.com/lilibethdlc/heroku-buildpack-ruby-opencv
ImageMagick buildpack	https://github.com/mcollina/heroku-buildpack-imagemagick
	https://patch-diff.githubusercontent.com/arbox/machine-learning-with-ruby#books-blogs-channels
Kirk, Matthew	https://twitter.com/mjkirk
Amazon	https://www.amazon.com/Thoughtful-Machine-Learning-Test-Driven-Approach/dp/1449374069
code	https://github.com/thoughtfulml/examples
Practical Artificial Intelligence	https://www.practicalai.io/
	https://patch-diff.githubusercontent.com/arbox/machine-learning-with-ruby#community
SciRuby Mailing List	https://groups.google.com/forum/#!forum/sciruby-dev
SciRuby Slack	https://sciruby.slack.com/
Red Data Gitter	https://gitter.im/red-data-tools/
Reddit	https://www.reddit.com/r/MachineLearning/search?q=Ruby&restrict_sr=on
Stack Overflow	https://stackoverflow.com/search?q=machine+learning+ruby
Twitter	https://twitter.com/search?q=Machine%20Learning%20Ruby&src=typd
NonWebRuby	https://twitter.com/NonWebRuby
Ruby AI Builders Discord	https://discord.gg/zDyFJFBTGB
X Ruby AI group	https://twitter.com/i/communities/1709211359039078677
Mastodon Ruby AI and Data group	https://ruby.social/@Ruby_AI_and_Data@chirp.social
	https://patch-diff.githubusercontent.com/arbox/machine-learning-with-ruby#related-resources
LightGBM	https://github.com/microsoft/LightGBM
XGBoost	https://github.com/dmlc/xgboost
OpenCV	https://opencv.org/
Graphviz	http://www.graphviz.org/
Gnuplot	http://www.gnuplot.info/
X11/XQuartz	https://www.xquartz.org/
ImageMagick	https://www.imagemagick.org/script/index.php
R	http://www.r-project.org/
Octave	https://www.gnu.org/software/octave/
scikit-learn algorithm cheatsheet	https://scikit-learn.org/stable/tutorial/machine_learning_map/
Awesome Ruby	https://github.com/markets/awesome-ruby#natural-language-processing
Ruby NLP	https://github.com/diasks2/ruby-nlp
Speech and Natural Language Processing	https://github.com/edobashira/speech-language-processing
Scientific Ruby	http://sciruby.com/
iRuby	https://github.com/SciRuby/iruby
Kiba	https://github.com/thbar/kiba
ETL	https://en.wikipedia.org/wiki/Extract,_transform,_load
Awesome OCR	https://github.com/kba/awesome-ocr
Awesome TensorFlow	https://github.com/jtoy/awesome-tensorflow
rb-gsl	https://github.com/SciRuby/rb-gsl
GNU Scientific Library	https://www.gnu.org/software/gsl/
The Definitive Guide to Ruby's C API	https://silverhammermba.github.io/emberb/
	https://patch-diff.githubusercontent.com/arbox/machine-learning-with-ruby#license
	https://creativecommons.org/publicdomain/zero/1.0/
Andrei Beliankou	https://github.com/arbox
Contributors	https://github.com/arbox/machine-learning-with-ruby/graphs/contributors
https://creativecommons.org/publicdomain/zero/1.0/	https://creativecommons.org/publicdomain/zero/1.0/
ruby	https://patch-diff.githubusercontent.com/topics/ruby
ruby-gem	https://patch-diff.githubusercontent.com/topics/ruby-gem
list	https://patch-diff.githubusercontent.com/topics/list
machine-learning	https://patch-diff.githubusercontent.com/topics/machine-learning
awesome	https://patch-diff.githubusercontent.com/topics/awesome
ml	https://patch-diff.githubusercontent.com/topics/ml
awesome-list	https://patch-diff.githubusercontent.com/topics/awesome-list
rubynlp	https://patch-diff.githubusercontent.com/topics/rubynlp
rubyml	https://patch-diff.githubusercontent.com/topics/rubyml
Readme	https://patch-diff.githubusercontent.com/arbox/machine-learning-with-ruby#readme-ov-file
CC0-1.0 license	https://patch-diff.githubusercontent.com/arbox/machine-learning-with-ruby#CC0-1.0-1-ov-file
Contributing	https://patch-diff.githubusercontent.com/arbox/machine-learning-with-ruby#contributing-ov-file
Please reload this page	https://patch-diff.githubusercontent.com/arbox/machine-learning-with-ruby
Activity	https://patch-diff.githubusercontent.com/arbox/machine-learning-with-ruby/activity
2.2k stars	https://patch-diff.githubusercontent.com/arbox/machine-learning-with-ruby/stargazers
116 watching	https://patch-diff.githubusercontent.com/arbox/machine-learning-with-ruby/watchers
182 forks	https://patch-diff.githubusercontent.com/arbox/machine-learning-with-ruby/forks
Report repository	https://patch-diff.githubusercontent.com/contact/report-content?content_url=https%3A%2F%2Fgithub.com%2Farbox%2Fmachine-learning-with-ruby&report=arbox+%28user%29
Releases	https://patch-diff.githubusercontent.com/arbox/machine-learning-with-ruby/releases
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Learn more about GitHub Sponsors	https://patch-diff.githubusercontent.com/sponsors
Packages 0	https://patch-diff.githubusercontent.com/users/arbox/packages?repo_name=machine-learning-with-ruby
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Contributors 19	https://patch-diff.githubusercontent.com/arbox/machine-learning-with-ruby/graphs/contributors
Please reload this page	https://patch-diff.githubusercontent.com/arbox/machine-learning-with-ruby
+ 5 contributors	https://patch-diff.githubusercontent.com/arbox/machine-learning-with-ruby/graphs/contributors
Ruby 100.0%	https://patch-diff.githubusercontent.com/arbox/machine-learning-with-ruby/search?l=ruby
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Terms	https://docs.github.com/site-policy/github-terms/github-terms-of-service
Privacy	https://docs.github.com/site-policy/privacy-policies/github-privacy-statement
Security	https://github.com/security
Status	https://www.githubstatus.com/
Community	https://github.community/
Docs	https://docs.github.com/
Contact	https://support.github.com?tags=dotcom-footer

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