Amazon SageMaker is the fully managed machine learning platform launched by AWS in 2017, covering the end-to-end ML lifecycle from data labeling, training and AutoML to deployment and monitoring for enterprise AI workloads.
Amazon SageMaker is the fully managed machine learning platform launched by AWS in 2017, covering the end-to-end ML lifecycle from data labeling, training and AutoML to deployment and monitoring for enterprise AI workloads.
MLflow is an open source ML lifecycle platform initiated by Databricks in 2018 and now a Linux Foundation project. It offers experiment tracking, model registry and model serving with a framework-agnostic, lightweight design and about 20,000 GitHub stars.
