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ML in a Box: Analyzing Containerization Practices in Open Source ML Projects

Containerization has become increasingly essential in the machine learning (ML) domain, providing reproducibility, portability, and environment consistency. While prior studies have analyzed Dockerfile structures and best practices, none ha

https://arxiv.org/abs/2607.10126v1 ↗
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arXiv A Large-Scale Dataset of MCP Implementations on GitHub · authored signal ▸
arXiv ML in a Box: Analyzing Containerization Practices in Open Source ML Projects · based on signal ▸

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