openmlsys/openmlsys
《Machine Learning Systems: Design and Implementation》
This open-source book and project explains the core principles and practical experiences behind designing and implementing modern machine learning systems. It covers the entire technology stack, from programming interfaces and computation graphs to compilers and distributed training. You'll gain a deep understanding of how to build and optimize large-scale AI infrastructure and implement custom operators. It's ideal for students, researchers, and engineers building machine learning infrastructure.
4,775 stars. Actively maintained with 2 commits in the last 30 days.
Use this if you are a student, researcher, or developer who wants to deeply understand the architecture, design, and implementation of machine learning systems, from foundational concepts to advanced distributed training.
Not ideal if you are a practitioner solely focused on applying existing machine learning models without needing to build or deeply customize the underlying system infrastructure.
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Mar 12, 2026
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