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Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committed to automating these high-value generic R&D processes through R&D-Agent, which lets AI drive data-driven AI. 🔗https://aka.ms/RD-Agent-Tech-Report

[MLsys2026 Best Paper]: https://arxiv.org/abs/2506.08276. RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.

Translated🔍 Hands-on LLM Application Development, Part 1: A Full-Stack Guide to RAG Technology. Read online at: https://datawhalechina.github.io/all-in-rag/

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

  • yolox
  • yolov3
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  • tensorrt

Tool for real-time visualization, monitoring and collaborative analysis of AI/ML experiments and live data. Supports Python, PyTorch/Torch, NumPy, TensorFlow/Keras https://visdom.dev

Crawlee—A web scraping and browser automation library for Python to build reliable crawlers. Extract structured data with LLMs via Pydantic AI, or control the browser in natural language with Stagehand. Works with BeautifulSoup, Parsel, Playwright, and raw HTTP. Download HTML, PDF, images, and other files. Proxy rotation included.

Customisable coding font with alternates, ligatures and contextual positioning. Crazy crisp at 12px/9pt. http://larsenwork.com/monoid/

A supercharged Git/GitHub command line interface (CLI). An official integration for GitHub and GitHub Enterprise: https://github.com/works-with/category/desktop-tools