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This section lists scientific and industrial papers about ML operalization since 2015.
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## 2023
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1.**[Data Models for Dataset Drift Controls in Machine Learning With Images](https://github.com/aiaudit-org/raw2logit): [Paper](https://arxiv.org/abs/2211.02578) | [Code](https://github.com/aiaudit-org/raw2logit)**
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## 2022
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1.**[Tiny-MLOps: a framework for orchestrating ML applications at the far edge of IoT systems](https://ieeexplore.ieee.org/document/9787703)** <br>
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2.**[Machine Learning Operations (MLOps): Overview, Definition, and Architecture](https://arxiv.org/pdf/2205.02302.pdf)** <br>
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