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sookocheff.com
| | benhoyt.com

Describes a simple Markov chain algorithm to generate reasonable-sounding but utterly nonsensical text, and presents some example outputs as well as a Python implementation.
3.6 parsecs

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| | setosa.io

[AI summary] A visual and practical explanation of Markov Chains, covering concepts like state spaces and transition matrices, with examples in weather modeling and Google's search algorithm.
2.7 parsecs

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| | gist.github.com

Generate text from an input using a simple Markov chain generator - markov.py
2.7 parsecs

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| | github.com

OpenPrinting CUPS Sources. Contribute to OpenPrinting/cups development by creating an account on GitHub.
7.3 parsecs

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