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

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  • jukebox

    Code for the paper "Jukebox: A Generative Model for Music"

  • OpenAI, one of the biggest in the ML field. They've released a lot of really cool projects like creating a bot that would reliably beat the best DOTA2 players, MuseNet that creates authentic sounding 10 instrument musical compositions, Jukebox that creates decently authentic sounding songs including vocals styled on specific artists, and DALLE 2 that made all those AI generated memes, and of course GPT3 that's currently getting shoved into everything to imbue a fairly realistic turing test ready AI interaction. OpenAI isn't the only one in the game, a great example of how amazing this technology is is the old Adobe VoCo presentation. This is just machine learning doing this (obviously trained on a huge dataset of his voice beforehand.)

  • pytesseract

    A Python wrapper for Google Tesseract

  • As far as working with reading text from a image there are lots of different libraries for doing this sort of thing, but one of the biggest is probably pytesseract. It is extremely powerful for image to text, and reliably beats alphabet soup captchas.

  • 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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