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Translated麦麦偏爱实验室 (Maimai Preference Lab, "McDonald's favorite lab") | Choose between two dishes over a few rounds to generate explainable, adjustable preference and exploration recommendations. An independent entry for the McDonald's MCP Creative Development Contest.

TranslatedWant to eat McDonald's while managing your body shape? This expert helps you put together a McDonald's (麦麦) meal combo based on your daily calorie expenditure. Based on SP matrix theory, it connects nutrition-based selection with the ordering loop through McDonald's official MCP Server (35 official tools · 14 REST endpoints · zero third-party frontend dependencies).

TranslatedVRS Application Recommendation System (志愿 "zhiyuan", college application choices): FastAPI + Neo4j + DeepSeek, with Zhejiang gaokao (college entrance exam) historical data as an example, including Excel data templates.

trycast parses JSON-like values whose shape is defined by TypedDicts and other standard Python type hints.

  • parsing
  • python
  • typechecking
  • runtime-typechecking

Friendly Environment for Neural Networks (fenn) is a simple Python framework for building ML/DL workflows and LLM agents faster, with prebuilt trainers, agent templates, logging, configuration management, and much more.

AI-powered platform for OSINT intelligence analysis. Features archive discovery with hypothesis-driven investigation, GLiNER entity extraction, Mapbox geospatial visualization, network analysis, and document processing. Built with FastAPI, Next.js, Weaviate, and DSPy.

  • ai-agents
  • document-processing
  • dspy
  • entity-extraction