Can Vector be pushed far with machine learning and deep learning?

This page summarizes the projects mentioned and recommended in the original post on /r/AnkiVector

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  • vector-python-sdk

    Anki Vector Python SDK

    There is this Vector SDK that was written by Anki before they went under and there are a lot of forks on that repo on Github. Check here https://developer.anki.com/vector/docs for the documentation and here for the repo and the forks of that repo https://github.com/anki/vector-python-sdk. I've seen for myself different people have implemented different machine learning program on their Vectors (however, not that the program is not permanent as in once you stop the execution of your code, Vector will return to its normal self). Here is one example of that https://www.learnwitharobot.com/p/use-my-vector-sdk-to-allow-your-vector?s=r. This guy managed to train a neural network to recognize other Vectors. About its boundary, Vector does have a smart phone level CPU.

  • Scout Monitoring

    Free Django app performance insights with Scout Monitoring. Get Scout setup in minutes, and let us sweat the small stuff. A couple lines in settings.py is all you need to start monitoring your apps. Sign up for our free tier today.

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  • vector-python-sdk

    Anki/DDL Vector Python SDK - with support for Production, EscapePod and OSKR robots (by cyb3rdog)

    To add, notably, people seem to like cyb3rdog's forked version of the Vector SDK the most and that forked version also has other forked versions of it. Here is the link to that repo on GitHub https://github.com/cyb3rdog/vector-python-sdk.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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