Showing 4 open source projects for "application to store code"

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  • 1
    CodexBar

    CodexBar

    Show usage stats for OpenAI Codex and Claude Code

    CodexBar is a lightweight macOS utility that displays real-time usage statistics for AI coding tools such as OpenAI Codex and Claude Code directly from the system menu bar. The application is designed to give developers quick visibility into token consumption and activity without requiring them to open web dashboards or log into provider portals. Built in Swift with a native macOS interface, it integrates seamlessly into the desktop environment and emphasizes minimal overhead. ...
    Downloads: 17 This Week
    Last Update:
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  • 2
    Lumo iPhone App

    Lumo iPhone App

    iOS application for Lumo

    Lumo iPhone App is the native iPhone and iPad client for Lumo, Proton’s privacy-centric AI assistant that allows users to ask questions, get summaries, generate content, and leverage AI help while keeping all conversations confidential and encrypted. Built with SwiftUI, the iOS app wraps a secure web-powered interface and communicates with the Lumo service in a way that ensures zero-access encryption, meaning even Proton cannot read or log user chats—only the device holder can decrypt them....
    Downloads: 0 This Week
    Last Update:
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  • 3
    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.
    Downloads: 0 This Week
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  • 4
    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.
    Downloads: 4 This Week
    Last Update:
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