ml-deploy-lite is a Python library designed to simplify the deployment of machine learning models. It allows developers to quickly turn their models into REST APIs or gRPC services with minimal configuration. The library integrates seamlessly with Docker and Kubernetes, providing built-in monitoring and logging for performance and error tracking.
docker python-library python-3 kubernetes-deployment python-lambda mlops my-library ml-deployment ml-deployment-developers-experiment own-library ml-if-git deployement-strategy kubernesties-deployement
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Updated
Nov 26, 2024 - Python