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  • Context-Aware AI Testing Platform for Faster, Smarter Release | ContextQA
    ContextQA generates tests, heals broken selectors, and diagnoses failures automatically Your QA team stops maintaining scripts and starts improving product quality
  • GitHub - stephansturges WALDO: Whereabouts Ascertainment for Low-lying . . .
    WALDO is a detection AI model, based on a large YOLO-v8 backbone and my own synthetic data pipeline The model is capable of detecting these classes of items in overhead imagery ranging in altitude from about 30 feet to satellite imagery!
  • The Comprehensive R Archive Network
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  • ContextQA | IBM
    软件测试是始终欠缺的一环，正因为如此，软件发布常常被推迟，产品质量也常常受到影响。 ContextQA 开发了一款不需要任何编码知识的应用程序。 相反，它使用 AI 和自动化来测试 Web 应用程序、API 和移动应用程序。
  • StephanST WALDO30 · Hugging Face
    HOW CAN I START WITH WALDO? Check out the boilerplate code in the repo to run the models and output pretty detections using the wonderful Supervision annotation library from Roboflow :)
  • Introducing ContextQA: Your AI-powered assistant
    ContextQA is ready to use right out of the box and integrates seamlessly with FastAPI and LangChain to offer a range of powerful features With ContextQA, you can effortlessly handle tasks such as regular chat and conversational QA, complete with relevant sources and streaming responses
  • ContextQA Documentation | ContextQA
    ContextQA documentation — complete reference for AI-powered test automation, the MCP server, integrations, and platform administration
  • WALDO开发者指南：贡献代码前必须了解的10件事 - CSDN博客
    本文档将帮助开发者快速掌握贡献代码的核心要点，包括项目结构、开发规范、模型训练流程及测试标准。 1 项目架构与核心模块 WALDO项目采用模块化设计，主要包含 模型 训练结果、推理脚本和工具脚本三大模块。 核心目录结构如下：


















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