tfx

Why we included this project

TFX is Google's production-scale machine learning platform built on TensorFlow. Instead of wiring up data validation, training, and serving by hand, you define a pipeline from components for ingestion, validation, transform, training, evaluation, and deployment, then orchestrate it with Airflow or Kubeflow Pipelines. Every component logs its inputs, outputs, and runtime configuration to an ML Metadata store, which gives you experiment tracking and the ability to warm-start or resume training from a previous run without rebuilding the pipeline. For ML engineers and platform teams already invested in TensorFlow, that is a proven scaffold worth choosing over a hand-rolled workflow. It also works as a useful reference for how a large-scale ML platform organizes its component APIs and orchestration integrations.