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How to evolve neural networks in Ruby using the Machine Learning Workbench

github.comsite

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ML with Ruby
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2026-10-10
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similar

  1. 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).

  2. Awesome Machine Learning with Ruby github.com

    Learning, implementing, and applying Machine Learning using Ruby.

  3. neural-net-ruby github.com

    Neural network written in Ruby.

  4. machine_learning_workbench github.com

    Growing machine learning framework written in pure Ruby, high performance computing using Numo, CUDA bindings through Cumo. Currently implementating neural networks, evolutionary strategies, vector quantization, and plenty of examples and utilities.

  5. 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).