Showing 4 open source projects for "machine learning python"

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    OPENRNDR

    OPENRNDR

    Kotlin library for creative coding, real-time and interactive graphics

    ...With these integrations, Machine Learning has become more accessible for interactive designers, coders, and developers.
    Downloads: 0 This Week
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  • 2
    Amazon Chime SDK for Android

    Amazon Chime SDK for Android

    An Android client library for integrating multi-party communications

    The Amazon Chime SDK for Android makes it easy to add collaborative audio calling, video calling, and screen share viewing features to Android applications by using the same infrastructure services that power meetings on the Amazon Chime service. This Amazon Chime SDK for Android works by connecting to meeting session resources that you have created in your AWS account. The SDK has everything you need to build custom calling and collaboration experiences in your Android application,...
    Downloads: 5 This Week
    Last Update:
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  • 3
    Hacker Scripts

    Hacker Scripts

    Based on a true story

    ...The repository gathers playful utilities (originally shell and Ruby scripts) that automate short, real-world tasks — for example, sending a quick “late at work” text when SSH sessions are active, firing off an automated “I’m sick / working from home” email on certain mornings, or even talking to a networked coffee machine to start brewing at precisely the right moment. The README explains the origin story and highlights several canonical scripts and provides usage notes such as required environment variables and cron examples for scheduling. Contributors have provided implementations and ports in many languages and folders (shell, Ruby, Python, Node, Perl, PowerShell, Go, Java, etc.), and the project explicitly welcomes pull requests that add additional language implementations.
    Downloads: 441 This Week
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  • 4
    Lingua

    Lingua

    The most accurate natural language detection library for Java

    Its task is simple: It tells you which language some provided textual data is written in. This is very useful as a preprocessing step for linguistic data in natural language processing applications such as text classification and spell checking. Other use cases, for instance, might include routing e-mails to the right geographically located customer service department, based on the e-mails' languages.
    Downloads: 0 This Week
    Last Update:
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