Showing 4 open source projects for "language processing"

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  • 1
    LLM.swift

    LLM.swift

    LLM.swift is a simple and readable library

    LLM.swift is a Swift package that enables developers to run Large Language Models (LLMs) directly on Apple devices, including iOS, macOS, and watchOS. By leveraging Apple's hardware and software optimizations, LLM.swift facilitates on-device natural language processing tasks, ensuring user privacy and reducing latency associated with cloud-based solutions.​
    Downloads: 4 This Week
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  • 2
    Zero to Mastery Deep Learning TensorFlow

    Zero to Mastery Deep Learning TensorFlow

    All course materials for the Zero to Mastery Deep Learning with TF

    ...It is structured as a series of progressively complex Jupyter notebooks that emphasize writing and understanding code before diving into theory, reinforcing learning through repetition and application. The material covers core machine learning workflows including regression, classification, computer vision, natural language processing, and time series forecasting, allowing users to build a well-rounded understanding of modern AI tasks. It also integrates milestone projects that simulate real-world scenarios, helping users translate abstract concepts into deployable solutions.
    Downloads: 0 This Week
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  • 3
    ScreenTranslate

    ScreenTranslate

    Translate any text on your Mac screen — capture or select,instantly.

    ScreenTranslate lets you translate any text on your Mac screen without switching tabs or copy-pasting. Screen Capture Translation: Press Cmd+Shift+T, drag over any text on screen, and get an instant translation popup. Works with images, PDFs, and subtitles using OCR (Apple Vision). Text Selection Translation: Select text in any app and press Cmd+Option+Z to translate directly. No OCR needed. - Free and open-source (GPL-3.0) - On-device translation using Apple Translation - Works...
    Downloads: 37 This Week
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  • 4
    course-v3

    course-v3

    The 3rd edition of course.fast.ai

    ...The materials demonstrate how to train neural networks using the fastai library and the PyTorch deep learning framework, enabling learners to quickly create applications such as image classifiers, natural language processing models, and recommendation systems.
    Downloads: 0 This Week
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