PyMilo: A Python Library for ML I/O
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Abstract (arXiv)
PyMilo is an open-source Python package that addresses the limitations of existing Machine Learning (ML) model storage formats by providing a transparent, reliable, and safe method for exporting and deploying trained models. Current formats, such as pickle and other binary formats, have significant problems, such as reliability, safety, and transparency issues. In contrast, PyMilo serializes ML models in a transparent non-executable format, enabling straightforward and safe model exchange, while also facilitating the deserialization and deployment of exported models in production environments. This package aims to provide a seamless, end-to-end solution for the exportation and importation of pre-trained ML models, which simplifies the model development and deployment pipeline.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 6 of its 33 references that are in the map. First posted on arXiv 31 Dec 2024.
Builds on
6 of 33 references.
References · 6
- 2022Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networkscited by 129
- 2020Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligencecited by 82
- 2019TensorFlow.js: Machine Learning for the Web and Beyondcited by 29
- 2024Reusing Deep Learning Models: Challenges and Directions in Software Engineeringcited by 10
- 2022Towards Understanding the Faults of JavaScript-Based Deep Learning Systemscited by 6
- 2024On Extending the Automatic Test Markup Language (ATML) for Machine Learningcited by 1
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