We released the code for Weight Agnostic Neural Networks. Apologies for the delay!
In addition to the original code to reproduce experiments, we also release a modular version ideal for future experimentation that runs nicely on a single laptop, and also a general NumPy implementation of the NEAT algorithm.
We ask that there are specific questions about the code and implementation, please raise an issue in that repo, and only leave questions regarding the paper here.
We released the code for Weight Agnostic Neural Networks. Apologies for the delay!
In addition to the original code to reproduce experiments, we also release a modular version ideal for future experimentation that runs nicely on a single laptop, and also a general NumPy implementation of the NEAT algorithm.
Repo: https://github.com/google/brain-tokyo-workshop/tree/master/WANNRelease
We ask that there are specific questions about the code and implementation, please raise an issue in that repo, and only leave questions regarding the paper here.