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Thank you for your question! FlyVec was trained using code developed specifically for the PowerPC architecture that makes it hard to distribute (using similar training code to paper https://arxiv.org/abs/1908.08993). While I would like to re-implement this in PyTorch, I fear I will not have time in the upcoming weeks.
In the meantime, @DimaKrotov has created a demo notebook for example training in numpy that is available here, and there is a new general-purpose Hebbian Learning wrapper around PyTorch Ignite available here (paper).
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Past me underestimated the free time current me would have. I built a small wrapper around the training code for v0.3 (317bdac
), though you are on your own to build your own tokenizations. Please let me know if the instructions are unclear
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