Showing 3 open source projects for "java restful and api"

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  • Level Up Your Cyber Defense with External Threat Management Icon
    Level Up Your Cyber Defense with External Threat Management

    See every risk before it hits. From exposed data to dark web chatter. All in one unified view.

    Move beyond alerts. Gain full visibility, context, and control over your external attack surface to stay ahead of every threat.
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  • Leverage AI to Automate Medical Coding Icon
    Leverage AI to Automate Medical Coding

    Medical Coding Solution

    As a healthcare provider, you should be paid promptly for the services you provide to patients. Slow, inefficient, and error-prone manual coding keeps you from the financial peace you deserve. XpertDox’s autonomous coding solution accelerates the revenue cycle so you can focus on providing great healthcare.
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  • 1
    Smile

    Smile

    Statistical machine intelligence and learning engine

    ...Smile is a couple of times faster than the closest competitor. The memory usage is also very efficient. If we can train advanced machine learning models on a PC, why buy a cluster? Write applications quickly in Java, Scala, or any JVM languages. Data scientists and developers can speak the same language now! Smile provides hundreds advanced algorithms with clean interface. Scala API also offers high-level operators that make it easy to build machine learning apps. And you can use it interactively from the shell, embedded in Scala. The most complete machine learning engine. ...
    Downloads: 2 This Week
    Last Update:
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  • 2
    Twitter Research Data Collector
    It gives facility of collecting tweets through Twitter Streaming API w.r.t different search criteria and to save tweets in CSV and ARFF (WEKA) file formats.
    Downloads: 0 This Week
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  • 3
    Phrasal

    Phrasal

    Statistical phrase-based machine translation system

    Stanford Phrasal is a state-of-the-art statistical phrase-based machine translation system, written in Java. At its core, it provides much the same functionality as the core of Moses. Distinctive features include: providing an easy to use API for implementing new decoding model features, the ability to translating using phrases that include gaps (Galley et al. 2010), and conditional extraction of phrase-tables and lexical reordering models.
    Downloads: 0 This Week
    Last Update:
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