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Reverse Dependencies for deep_dive
The projects listed here declare deep_dive as a runtime or development dependency
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Collection of tools and classes that help to identify formats of binary files and create derivative copies (e.g. PDF from Word).
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attr_pow gives you smart attributes. You may sepecify defaults,
use attr_pow for hooks, and even define clonability and queuability.
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RubyNEAT -- Neural Evolution of Augmenting Topologies for Ruby.
By way of an enhanced form of Genetic Algorithms -- the NEAT algorithm,
populations of neural nets are evolved to handle pre-defined goals.
RubyNEAT is the first implementation of the NEAT algorithm for Ruby, and
it leverages Ruby's power to implement the NEAT algorithm in a way that would
be difficult to do in other languages. The 'activation function' is largely
standalone. Basically, activation is achieved by functional programming.
Meaning, once your network is evolved, you can extract it as source code you
can then utilize without the RubyNEAT engine.
RubyNEAT can be used for nearly any Machine Learning task you can dream of,
because it's also extensible and modular. See http://rubyneat.com for the
details.
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