The TensorFlow Blog

TFX

TensorFlow Extended (TFX) is a platform for deploying production ML pipelines. Articles in this section cover moving models from research to production.

Simulated Spotify Listening Experiences for Reinforcement Learning with TensorFlow and TF-Agents

AI · Documentation

Simulated Spotify Listening Experiences for Reinforcement Learning with TensorFlow and TF-Agents

October 19, 2023 — Posted by Surya Kanoria, Joseph Cauteruccio, Federico Tomasi, Kamil Ciosek, Matteo Rinaldi, and Zhenwen Dai – Spotify

gke · Stable Diffusion

Serving With TF and GKE: Stable Diffusion

April 28, 2023 — Posted by Chansung Park and Sayak Paul (ML and Cloud GDEs)

How Vodafone Uses TensorFlow Data Validation in their Data Contracts to Elevate Data Governance at Scale

TensorFlow Data Validation · TFDV

How Vodafone Uses TensorFlow Data Validation in their Data Contracts to Elevate Data Governance at Scale

March 10, 2023 — Posted by Amandeep Singh (Vodafone), Max Vökler (Google Cloud)

Extend your TFX pipeline with TFX-Addons

Community · Tensorflow

Extend your TFX pipeline with TFX-Addons

February 07, 2023 — Posted by Hannes Hapke and Robert Crowe

End-to-End Pipeline for Segmentation with TFX, Google Cloud, and Hugging Face

Machine Learning · MLOps

End-to-End Pipeline for Segmentation with TFX, Google Cloud, and Hugging Face

January 18, 2023 — Posted by Chansung Park, Sayak Paul (ML and Cloud GDEs)

Community · MLOps

How startups can benefit from TFX

October 14, 2022 — Posted by Hannes Hapke and Robert Crowe

Automated Deployment of TensorFlow Models with TensorFlow Serving and GitHub Actions

Community · GitHub Action

Automated Deployment of TensorFlow Models with TensorFlow Serving and GitHub Actions

September 27, 2022 — Posted by Chansung Park and Sayak Paul (ML-GDEs)

Why Karrot Uses TFX, and How to Improve Productivity on ML Pipeline Development

Community · TFX

Why Karrot Uses TFX, and How to Improve Productivity on ML Pipeline Development

May 06, 2022 — Posted by Ukjae Jeong, Gyoung-yoon Yoo, and Myeonghyeon Song from Karrot

Community · TFX

Continuous Adaptation for Machine Learning System to Data Changes

December 01, 2021 — A guest post by Chansung Park, Sayak Paul (ML-GDEs)

How Waze Uses TFX to Scale Production-Ready ML

TFX · Vertex AI

How Waze Uses TFX to Scale Production-Ready ML

September 15, 2021 — Posted by Gal Moran, Iris Shmuel, and Daniel Marcous (Data Scientists at Waze)

Community · TFX

How Digitec Galaxus trains and serves millions of personalized newsletters per week with TFX

August 11, 2021 — Posted by Christian Sager (Product Owner, Digitec Galaxus) and Anant Nawalgaria (ML Specialist, Google)

New Courses: Machine Learning Engineering for Production

TensorFlow Core · TFX

New Courses: Machine Learning Engineering for Production

June 01, 2021 — Posted by Robert Crowe and Jocelyn Becker

Speed-up your sites with web-page prefetching using Machine Learning

TensorFlow.js · TFX

Speed-up your sites with web-page prefetching using Machine Learning

May 18, 2021 — Posted by Minko Gechev, David Zats, Na Li, Ping Yu, Anusha Ramesh, and Sandeep Gupta

Using TFX inference with Dataflow for large scale ML inference patterns

TFX

Using TFX inference with Dataflow for large scale ML inference patterns

May 06, 2021 — Posted by Reza Rokni, Snr Staff Developer Advocate

Community · TFX

How OpenX Trains and Serves for a Million Queries per Second in under 15 Milliseconds

February 15, 2021 — A guest post by Larry Price, OpenXEdited by Robert Crowe, Anusha Ramesh - TensorFlow

TFX

ML Metadata: Version Control for ML

January 08, 2021 — Posted by Ben Mathes and Neoklis Polyzotis, on behalf of the TFX Team

TFX

Neural Structured Learning in TFX

October 09, 2020 — Posted by Arjun Gopalan, Software Engineer, Google Research Edited by Robert Crowe, TensorFlow Developer Advocate, Google Research

Towards ML Engineering: A Brief History Of TensorFlow Extended (TFX)

TFX

Towards ML Engineering: A Brief History Of TensorFlow Extended (TFX)

September 25, 2020 — Posted by Konstantinos (Gus) Katsiapis on behalf of the TFX Team

Creating Sounds Of India: An on device, AI powered, musical experience built with TensorFlow

TensorFlow.js · TFX

Creating Sounds Of India: An on device, AI powered, musical experience built with TensorFlow

August 14, 2020 — Posted by Anusha Ramesh, Product Manager TFX, David Zats, Software Engineer TFX, Ping Yu, Software Engineer TensorFlow.js, Lamtharn (Hanoi) Hantrakul, AI Resident Magenta

Part 2: Fast, scalable and accurate NLP: Why TFX is a perfect match for deploying BERT

Community · TFX

Part 2: Fast, scalable and accurate NLP: Why TFX is a perfect match for deploying BERT

June 08, 2020 — Guest author Hannes Hapke, Senior Data Scientist, SAP Concur Labs. Edited by Robert Crowe on behalf of the TFX team

Transformer models and the concepts of transfer learning in Natural Language Processing have opened up new opportunities around tasks like sentiment analysis, entity extractions, and question-answer problems.

BERT models allow data scientists to stand on the shoulders of giants. Pr…

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