Showing 5 open source projects for "artificial intelligence projects in java"

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  • 1
    Gradle MCP Server

    Gradle MCP Server

    A Model Context Protocol (MCP) server

    The Gradle MCP Server is a Model Context Protocol implementation that enables AI tools to interact programmatically with Gradle projects. It uses the Gradle Tooling API to query project information and execute tasks, facilitating seamless integration with AI-driven development tools. ​
    Downloads: 0 This Week
    Last Update:
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  • 2
    AutoDev

    AutoDev

    The AI-powered coding wizard

    The AI-powered coding wizard with multilingual support, auto code generation, and a helpful bug-slaying assistant. Customizable prompts and a magic Auto Dev/Testing/Document/Agent feature are included.
    Downloads: 10 This Week
    Last Update:
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  • 3
    OpenAI API client for Kotlin

    OpenAI API client for Kotlin

    OpenAI API client for Kotlin with multiplatform capabilities

    OpenAI API client for Kotlin with multiplatform and coroutines capabilities.
    Downloads: 0 This Week
    Last Update:
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  • 4
    mirai

    mirai

    Efficient QQ Robot support library

    mirai is a high-efficiency robot library that runs on all platforms and provides QQ Android protocol support. mirai is completely free and open-source software for learning and entertainment use only. mirai will not impose fees or impose material conditions on users in any way. mirai is maintained by the entire open source community and is not the work of an individual. All contributors enjoy the copyright of their work. If citing a package published by mirai without modifying mirai, derived...
    Downloads: 6 This Week
    Last Update:
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  • 5
    KotlinDL

    KotlinDL

    High-level Deep Learning Framework written in Kotlin

    KotlinDL is a high-level Deep Learning API written in Kotlin and inspired by Keras. Under the hood, it uses TensorFlow Java API and ONNX Runtime API for Java. KotlinDL offers simple APIs for training deep learning models from scratch, importing existing Keras and ONNX models for inference, and leveraging transfer learning for tailoring existing pre-trained models to your tasks. This project aims to make Deep Learning easier for JVM and Android developers and simplify deploying deep learning...
    Downloads: 0 This Week
    Last Update:
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