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TensorFlow Extended (TFX) is a Google-production-scale machine learning platform based on TensorFlow. It provides a configuration framework to express ML pipelines consisting of TFX components. TFX pipelines can be orchestrated using Apache Airflow and Kubeflow Pipelines. Both the components themselves and the integrations with orchestration systems can be extended. TFX components interact with an ML Metadata backend that keeps a record of component runs, input and output artifacts, and runtime configuration. This metadata backend enables advanced functionality like experiment tracking or warm starting/resuming ML models from previous runs.
Features
- Documentation available
- Examples available
- End-to-end platform
- Deploy production ML pipelines
- Licensed under the Apache License
Project Samples
Categories
Machine LearningLicense
Apache License V2.0Follow TFX
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