awesome-production-machine-learning
This repository provides an extensive collection of open-source libraries to bolster production machine learning workflows. It covers crucial aspects such as deployment, monitoring, scaling, and security, across applications including AutoML, data pipeline optimization, adversarial robustness, and tools tailored for computer vision and NLP. Features include support for distributed computing and model tracking, ensuring efficient machine learning operations. Suitable for developers and researchers requiring dependable tools to optimize their machine learning processes.
