Showing 5 open source projects for "java examples"

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  • 1
    Telegram SMS

    Telegram SMS

    An SMS-forwarding Robot Running on Your Android Device

    With the power of Telegram SMS, your multi-phone life is much easier than before. Receiving and sending SMS, relaying APP notifications, monitoring battery status. All stuff can be done with a single Telegram bot. You can use the bot in both private chat and group chat, in case you have more than 2 Android phones, or sharing the bot with other people. Telegram SMS connects with Telegram's bot API server directly, no 3rd-party services involved.
    Downloads: 26 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: 3 This Week
    Last Update:
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  • 3
    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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  • 4
    TrashEmail

    TrashEmail

    A hosted disposable email telegram bot; Extremely privacy friendly

    TrashEmail is a hosted Telegram bot that can save your private email address by offering a disposable email address. It can create, and manage, disposable email addresses and link them with your telegram bot chat.
    Downloads: 1 This Week
    Last Update:
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  • 5

    Semantic Assistants

    Natural Language Processing (NLP) for the Masses

    Semantic Assistants support users in content retrieval, analysis, and development, by offering context-sensitive NLP services directly integrated in standard desktop clients, like a word processor, and web information systems, like a wiki.
    Downloads: 0 This Week
    Last Update:
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