Showing 3 open source projects for "self learning ai"

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  • Add Two Lines of Code. Get Full APM. Icon
    Add Two Lines of Code. Get Full APM.

    AppSignal installs in minutes and auto-configures dashboards, alerts, and error tracking.

    Works out of the box for Rails, Django, Express, Phoenix, and more. Monitoring exceptions and performance in no time.
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  • Go From AI Idea to AI App Fast Icon
    Go From AI Idea to AI App Fast

    One platform to build, fine-tune, and deploy ML models. No MLOps team required.

    Access Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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  • 1
    Cloud CLI

    Cloud CLI

    Use Claude Code, Cursor CLI or Codex on mobile and web with CloudCLI

    ClaudeCodeUI, also known as CloudCLI, is an open-source web and mobile interface that enables developers to control Claude Code and similar AI coding tools through a graphical environment. The project provides a browser-based dashboard that allows users to manage coding sessions, projects, and prompts remotely from virtually any device. It is designed to bridge the gap between terminal-first AI coding workflows and more accessible visual interfaces, improving usability without sacrificing...
    Downloads: 4 This Week
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  • 2
    PAL MCP

    PAL MCP

    The power of Claude Code / GeminiCLI / CodexCLI

    PAL MCP is an open-source Model Context Protocol (MCP) server designed to act as a powerful middleware layer that connects AI clients and tools—like Claude Code, Codex CLI, Cursor, and IDE plugins—to a broad range of underlying AI models, enabling collaborative multi-model workflows rather than relying on a single model. It lets developers orchestrate interactions across multiple models (including Gemini, OpenAI, Grok, Azure, Ollama, OpenRouter, and custom/self-hosted models), preserving conversation context seamlessly as tasks evolve and substeps run across tools. ...
    Downloads: 1 This Week
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  • 3
    Deep Daze

    Deep Daze

    Simple command line tool for text to image generation

    Simple command-line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network). In true deep learning fashion, more layers will yield better results. Default is at 16, but can be increased to 32 depending on your resources. Technique first devised and shared by Mario Klingemann, it allows you to prime the generator network with a starting image, before being steered towards the text. Simply specify the path to the image you wish to use, and...
    Downloads: 1 This Week
    Last Update:
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