awesome-repositories.com
المدونة
awesome-repositories.com

اكتشف أفضل مستودعات المصادر المفتوحة باستخدام بحث مدعوم بالذكاء الاصطناعي.

استكشفعمليات بحث منسقةبدائل مفتوحة المصدربرمجيات ذاتية الاستضافةالمدونةخريطة الموقع
المشروعحولكيفية ترتيب النتائجالصحافةخادم MCP
قانونيالخصوصيةالشروط
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·

3 مستودعات

Awesome GitHub RepositoriesVisual-to-Code Synthesis

Specialized generative models that synthesize source code from visual interface inputs.

Distinct from Generative Code Models: Distinct from general generative code models by using visual images instead of natural language inputs.

Explore 3 awesome GitHub repositories matching artificial intelligence & ml · Visual-to-Code Synthesis. Refine with filters or upvote what's useful.

Awesome Visual-to-Code Synthesis GitHub Repositories

اعثر على أفضل المستودعات باستخدام الذكاء الاصطناعي.سنبحث عن أفضل المستودعات المطابقة باستخدام الذكاء الاصطناعي.
  • tonybeltramelli/pix2codeالصورة الرمزية لـ tonybeltramelli

    tonybeltramelli/pix2code

    12,032عرض على GitHub↗

    pix2code is a computer vision UI parser and screenshot-to-code converter that transforms images of graphical user interfaces into functional code representations. It operates as a deep learning system that maps visual interface elements to layout instructions and syntax. The project includes a machine learning training pipeline for UI, which converts raw image data into numerical arrays to create training sets. This workflow supports training models to recognize visual interface components and map them to specific code structures. The system covers automated frontend development through the

    Maps visual elements to syntax by processing datasets of UI screenshots and matching code.

    Pythondatasetsdeep-learningdeep-neural-networks
    عرض على GitHub↗12,032
  • microsoft/vscode-copilot-chatالصورة الرمزية لـ microsoft

    microsoft/vscode-copilot-chat

    9,493عرض على GitHub↗

    This project is an AI-powered IDE extension and LLM coding assistant that provides a conversational interface for generating, refactoring, and debugging code. It functions as an AI agent framework and a Model Context Protocol client, connecting AI models to external data sources and tools to automate complex development tasks. The system is distinguished by its use of autonomous AI agents capable of multi-step task execution, including the ability to read files, modify code, and run terminal commands iteratively. It supports recursive agent orchestration through subagent delegation and employ

    Analyzes images and sketches to generate corresponding source code or explain visual structures.

    TypeScript
    عرض على GitHub↗9,493
  • zai-org/glm-4.5الصورة الرمزية لـ zai-org

    zai-org/GLM-4.5

    4,210عرض على GitHub↗

    GLM-4.5 is a multimodal large language model and advanced reasoning system. It functions as an AI coding assistant, an autonomous AI agent, and a multimodal content generator capable of processing and generating text, images, audio, and video within a single unified system. The project is distinguished by its deep reasoning capabilities, utilizing chain-of-thought processing to solve complex mathematical, logical, and technical problems. It features an agentic architecture that allows for autonomous task execution, long-horizon goal planning, and the ability to interact with external tools an

    Analyzes screenshots or screen recordings of interfaces to produce usable HTML and CSS.

    Pythonagentglmllm
    عرض على GitHub↗4,210
  1. Home
  2. Artificial Intelligence & ML
  3. Generative Code Models
  4. Visual-to-Code Synthesis