ML with Ruby
110 items from arbox/machine-learning-with-ruby ★2,229
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Jordan Hudgens twitter.com
[tutorial]
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John Paul Ashenfelter twitter.com
[video]
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X Ruby AI group twitter.com
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Matthew Mongeau twitter.com
[video | slides]
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Denis Sellu twitter.com
[post]
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Brian Sam-Bodden twitter.com
[video]
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Justin Bowen twitter.com
[video]
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NonWebRuby twitter.com
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Stack Overflow stackoverflow.com
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SciRuby Slack sciruby.slack.com
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RubyThursday rubythursday.com
[video]
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Mastodon Ruby AI and Data group ruby.social
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Reddit reddit.com
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Using the Python scikit-learn machine learning library in Ruby using PyCall practicalai.io
[code]
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Unsupervised learning using k-means clustering in Ruby practicalai.io
[code]
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Teaching an AI to play a simple game using Q-Learning in Ruby practicalai.io
[code]
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Teaching a Neural Network to play a game using Q-Learning in Ruby practicalai.io
[code]
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How to implement simple binary classification using a Neural Network in Ruby practicalai.io
[code]
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How to implement linear regression in Ruby practicalai.io
[code]
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How to implement classification using a SVM in Ruby practicalai.io
[code]
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Practical Artificial Intelligence practicalai.io
Blog about Artificial Intelligence and Machine Learning with tutorials and code samples in Ruby.
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Joseph Emmanuel Dayo linkedin.com
[post]
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Ruby neural networks honeybadger.io
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Red Data Gitter gitter.im
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machine_learning_workbench github.com
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).
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machine_learning_workbench github.com
Framework including pure-Ruby implementation of both feed-forward and recurrent neural networks (fully connected). Training available using neuroevolution (Natural Evolution Strategies algorithms).
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Ruby AI Builders Discord discord.gg
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Wine Clustering github.com
Wine quality estimations clustered with different algorithms.
