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Show HN: A competition for small neural networks that play strategy games

116 points · 41 comments · codetiger

  1. cookiengineer · · focus · HN ↗
    OMG!

    Just yesterday I published my reworked GoNEAT library that implements HyperNEAT combined with phased search and backpropagation [1].

    But it's kind of impossible to enter for me because of the hard pytorch requirements :( would love to see the project as a gym, so that you can run your own ANN design algorithm.

    I get that most data science students still use python, but the evolutionary world is kinda in C++ and other native languages.

    Anyways, great project nonetheless.

    [1] <a href="https:&#x2F;&#x2F;github.com&#x2F;cookiengineer&#x2F;goneat" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;cookiengineer&#x2F;goneat

    1. codetiger · · focus · HN ↗
      Where do you see a hard requirement? I have added support for ONNX model upload for now and would love to extend support for other formats. How you build the model is totally upto you. I don’t check anything other than format and inference time and model size.
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