Showing 7 open source projects for "ai model"

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  • 1
    Osaurus

    Osaurus

    AI edge infrastructure for macOS. Run local or cloud models

    ...The platform acts as an always-on runtime that coordinates AI tasks, tools, and workflows while enabling applications to communicate with models through standardized interfaces. Developers can extend the system through plugins that expose additional capabilities, tools, or services to the runtime using a structured plugin architecture. Osaurus also supports the Model Context Protocol, allowing tools and AI services to share context and interact with multiple applications simultaneously.
    Downloads: 4 This Week
    Last Update:
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  • 2
    MochiDiffusion

    MochiDiffusion

    Run Stable Diffusion on Mac natively

    MochiDiffusion is a native macOS application that allows users to run Stable Diffusion models locally, leveraging Apple Silicon GPU acceleration via Core ML. It offers users GUI controls for prompts and model configuration without needing Python or Docker, enabling offline image generation.
    Downloads: 7 This Week
    Last Update:
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  • 3
    ClaudeBar

    ClaudeBar

    A macOS menu bar application that monitors AI coding assistant usage

    ClaudeBar is a macOS menu bar utility that helps developers and power users monitor their AI coding assistant usage quotas from a lightweight system tray interface. Rather than constantly running CLI commands or navigating web dashboards, users can glance at their quota statistics for services like Claude, Codex, Gemini, GitHub Copilot, and Antigravity directly from the menu bar. The application provides real-time tracking of session, weekly, and model-specific usage percentages, using visual indicators such as color-coded progress bars to communicate when quotas are healthy, nearing limits, or depleted. ...
    Downloads: 8 This Week
    Last Update:
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  • 4
    OpenAI

    OpenAI

    Swift community driven package for OpenAI public API

    ...It also includes support for advanced features such as function calling, assistants, and tool integration through protocols like Model Context Protocol, enabling more complex and interactive AI workflows.
    Downloads: 2 This Week
    Last Update:
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  • 5
    OpenAI DALL·E AsyncImage SwiftUI

    OpenAI DALL·E AsyncImage SwiftUI

    OpenAI swift async text to image for SwiftUI app using OpenAI

    SwiftUI views that asynchronously loads and displays an OpenAI image from open API. You just type in your idea and AI will give you an art solution. DALL-E and DALL-E 2 are deep learning models developed by OpenAI to generate digital images from natural language descriptions, called "prompts". You need to have Xcode 13 installed in order to have access to Documentation Compiler (DocC) OpenAI's text-to-image model DALL-E 2 is a recent example of diffusion models.
    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 regression, classification, computer vision, natural language processing, and time series forecasting, allowing users to build a well-rounded understanding of modern AI tasks. ...
    Downloads: 0 This Week
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  • 7
    Cheetah

    Cheetah

    AI macOS app for real-time coding interview coaching assistance

    Cheetah is an AI-powered macOS application designed to assist users during software engineering interview practice through real-time coaching capabilities. It integrates audio transcription and AI-generated responses to help users navigate technical interview questions as they happen. Cheetah uses a local speech-to-text engine based on Whisper to capture and transcribe conversations in real time, enabling it to understand interviewer prompts. It then leverages language models to generate...
    Downloads: 3 This Week
    Last Update:
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