TFX
Overview
TFX (TensorFlow Extended) is an end-to-end platform for deploying production ML pipelines. It provides a configuration framework and common libraries to integrate the various stages required to define, launch, monitor, and maintain your machine learning system.
About Us
TFX is a TensorFlow production-ready platform that helps you create, deploy, and manage ML pipelines. It is designed to be scalable and reliable, and it is used by Google and other companies to power their ML-driven applications.
Vision
To become the leading open-source platform for end-to-end machine learning pipeline orchestration, empowering data scientists and ML engineers to seamlessly transition from research to production.
Mission
To provide a robust and scalable platform for deploying production machine learning pipelines, enabling users to build, test, and serve ML models with confidence and efficiency.
Culture
The TFX project is an open-source project under the TensorFlow umbrella, fostering a collaborative and community-driven environment. Contributions are welcomed from developers of all skill levels, and the project emphasizes maintainability, scalability, and reproducibility of ML workflows.