TFX | TensorFlow

TFX is an end-to-end machine learning platform for TensorFlow.

TensorFlow Extended (TFX) is a TensorFlow-based general-purpose machine learning platform implemented at Google. We've already open sourced some TFX libraries with the rest of the system to come. For an overview of TFX, read our KDD’2017 paper and watch the Dev Summit talk.

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TensorFlow Data Validation
A library for exploring and validating machine learning data.
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TensorFlow Transform
Perform full-pass analyze phases over data to create transformation graphs that are consistently applied during training and serving.
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TensorFlow Model Analysis
Libraries and visualization components to compute full-pass and sliced model metrics over large datasets, and analyze them in a notebook.
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TensorFlow Serving
A flexible, high-performance serving system for machine learning models, designed for production environments.

Introducing TensorFlow Data Validation: Data Understanding, Validation, and Monitoring At Scale

Read on TensorFlow blog

TensorFlow Data Validation

TensorFlow Transform

TensorFlow Model Analysis

TensorFlow Serving

Introducing TensorFlow Data Validation: Data Understanding, Validation, and Monitoring At Scale

Preprocessing for Machine Learning with tf.Transform

Introducing TensorFlow Model Analysis: Scaleable, Sliced, and Full-Pass Metrics

Latest Innovations in TensorFlow Serving

Data Validation on GitHub

TensorFlow Transform on GitHub

Model Analysis on GitHub

TensorFlow Serving on GitHub