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DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy

  • json
  • python
  • rust
  • serialization

TranslatedThe Xianyu (闲鱼) Auto-Reply Management System is an automated customer service system developed with Python + FastAPI, designed specifically for the Xianyu platform. The system connects to Xianyu servers through WebSocket, receives and processes messages in real time, and provides intelligent automatic reply service. It also integrates features such as automatic Xianyu delivery, automatic reviews, and automatic polishing, enabling an automated workflow for virtual goods on Xianyu.

TranslatedA knowledge graph for mathematics (primary school to high school), English (grade 3 to high school), and junior high school physics: 1,644 knowledge points, 2,403 prerequisite edges, and 6,723 questions, aligned with the curriculum standards, with an adaptive prerequisite diagnostic.

  • chinese
  • curriculum
  • diagnostic
  • edtech

Ingest, parse, and optimize any data format ➡️ from documents to multimedia ➡️ for enhanced compatibility with GenAI frameworks

  • ingestion-api
  • ocr
  • omniparser
  • parse-server