Showing 5 open source projects for "can"

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  • Train ML Models With SQL You Already Know Icon
    Train ML Models With SQL You Already Know

    BigQuery automates data prep, analysis, and predictions with built-in AI assistance.

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    Ship Agents Faster

    Transform your applications and workflows into powerful agentic systems at global scale.

    Gemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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  • 1

    EasyML

    EasyML serialization library, to and from XML, similar to Gson

    ...EasyML provides support for: - reading and writing XML text and/or org.w3c.dom documents - Java Collections framework - Java Serialization framework - Multi-threading - Java Generics and functional APIs EasyML can be customized with user-defined serialization strategies. The low-level components, XMLWriter and XMLReader, can be used directly, for a higher control compared to the EasyML Facade. Security policies can also be defined, specifying black- or whitelists of types which are allowed at deserialization time. EasyML on GitHub: http://github.com/cordisvictor/easyml-lib
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  • 2
    XML parser is a tool written in java, which can parse any XML file fed to it. It generates the needed source code to parse your XML, based on the specified schema.
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  • 3
    Small footprint, fast Java XML parser. Parses to an easily manipulable nested class structure which can be converted back to formatted or unformatted XML with a single call. Uses and creates straight XML, no DTDs necessary or used.
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  • 4
    Light-weight Java XML parser with limited XPath search support. Aimed to be used as a utility for misc developing tasks (i.e. config file parsing, message exchange between objects, etc). Features: (i) Runs on Java 1.1 VM (can be used for applets) (i
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  • Host LLMs in Production With On-Demand GPUs Icon
    Host LLMs in Production With On-Demand GPUs

    NVIDIA L4 GPUs. 5-second cold starts. Scale to zero when idle.

    Deploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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  • 5
    A tiny, compact XML Parser written in Java that is less than 6K in size when compiled using JDK 1.3, that can be used in either a J2SE or J2ME envioronment.
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