This repository is an open-source textbook, 'Machine Learning Systems: Design and Implementation', produced as a static website via mdBook. It is not a running application or data pipeline; rather, it is a documentation project with a custom build toolchain that transforms Markdown chapters (with extended syntax for equations, citations, cross-references) into a bilingual HTML site. The primary code comprises Python scripts for preprocessing Markdown, assembling the publish tree, and ensuring resource symlinks, along with CI/CD workflows for testing and deployment to GitHub Pages. The content covers the full ML system stack including computational graphs, compilers, accelerators, distributed training, and model serving, with both English and Chinese editions. The repository is actively maintained with frequent commits, but technical drift exists due to pinned Python dependencies and incomplete migration to v2 (many chapter placeholders). It is hybrid in nature: primarily a documentation project, but with application-like build infrastructure and reusable preprocessing components.