BETAmodules.com is in beta — open to partnerships & joint ventures.Build with us

rubyneat

v0.5.3RubyGems· Ruby

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.

The verdict
Abandoned. Last published 9 years ago. No recent activity — look for a maintained alternative.
No recent activity — look for a maintained alternative.
Live from the RubyGems registry · derived rules, not AI
How it scores
MaintenanceAbandoned
PopularityNiche
SecurityClean
LicensePermissive
DepsZero deps
Maintenance
Last published 9 years ago.
Popularity
7 downloads / week
Security
No known advisories for this version (OSV).
License
MIT
Dependencies
No runtime dependencies
Recent releases
  • 0.5.39 years ago
  • 0.4.69 years ago
  • 0.5.29 years ago
  • 0.5.09 years ago
  • 0.4.59 years ago
  • 0.4.49 years ago
  • 0.4.39 years ago
  • 0.4.210 years ago
rubyneat — 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. (Ruby / RubyGems) · Modules