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

InfluxDB - Power Real-Time Data Analytics at Scale
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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.

  • 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.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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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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