Showing 7 open source projects for "showeq open source project"

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  • 1
    Osaurus

    Osaurus

    AI edge infrastructure for macOS. Run local or cloud models

    Osaurus is an open-source AI edge infrastructure platform designed specifically for macOS environments to run and manage AI models locally. The project provides a native runtime that allows applications to access large language models and AI tools directly on the user’s machine without relying entirely on cloud services. Osaurus supports running both local and remote models, enabling developers to build AI-powered applications that can operate offline or leverage external APIs when needed. ...
    Downloads: 10 This Week
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  • 2
    apfel

    apfel

    Apple Intelligence from the command line

    apfel is a lightweight and likely experimental development project focused on building efficient and minimal tools or frameworks, typically emphasizing simplicity, performance, and clean abstractions. The project appears to follow a philosophy of reducing unnecessary complexity while still enabling practical functionality for developers who prefer lean systems over heavy frameworks. It is designed to be adaptable, allowing developers to extend or modify its behavior depending on their...
    Downloads: 0 This Week
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  • 3
    GitHub Copilot for Xcode

    GitHub Copilot for Xcode

    AI coding assistant for Xcode

    Copilot for Xcode brings GitHub Copilot’s AI-driven code suggestions directly into Apple’s Xcode IDE, giving iOS and macOS developers predictive completions, context-aware recommendations, and natural language assistance while they write Swift, Objective-C, and related code. It embeds seamlessly into the Xcode editor UI, offering completions as you type, including full lines or blocks of code derived from surrounding context and doc comments. Because the integration understands the structure...
    Downloads: 3 This Week
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  • 4
    Ollamac

    Ollamac

    Mac app for Ollama

    Ollamac is an open-source native macOS application that provides a graphical interface for interacting with local large language models running through the Ollama inference framework. The project was created to simplify the process of using local AI models, which typically require command-line interaction, by offering a clean and intuitive desktop interface.
    Downloads: 1 This Week
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  • 5
    WhisperKit

    WhisperKit

    On-device Speech Recognition for Apple Silicon

    WhisperKit is a Swift package that integrates OpenAI's popular Whisper speech recognition model with Apple's CoreML framework for efficient, local inference on Apple devices. Whisper has pulled the future forward when fast, free and virtually error-free translation and transcription will be ubiquitous. It inspired numerous developers to improve and deploy it with minimal friction and maximum performance. We founded Argmax in November 2023 to empower developers and enterprises everywhere to...
    Downloads: 0 This Week
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  • 6
    Zero to Mastery Deep Learning TensorFlow

    Zero to Mastery Deep Learning TensorFlow

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

    This project is a comprehensive, code-first deep learning curriculum built around TensorFlow and Keras, designed to guide learners from foundational concepts to practical model deployment through hands-on experimentation. 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...
    Downloads: 0 This Week
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  • 7
    Swift for TensorFlow

    Swift for TensorFlow

    Swift for TensorFlow

    Swift for TensorFlow repository contains the open-source implementation of Swift for TensorFlow, a project that integrates machine learning capabilities directly into the Swift programming language. The initiative aims to provide a new programming model for developing machine learning systems by combining the power of TensorFlow with language-level features such as automatic differentiation and strong type systems.
    Downloads: 0 This Week
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