Popular GitHub Repositories for Tfx

A guideline for building practical production-level deep learning systems to be deployed in real world applications.

PipelineAI

TFX is an end-to-end platform for deploying production ML pipelines

An end-to-end example of MLOps on Google Cloud using TensorFlow, TFX, and Vertex AI

Build Low Code Automated Tensorflow explainable models in just 3 lines of code. Library created by: Hasan Rafiq - https://www.linkedin.com/in/sam04/

MLOps for Vision Models (TensorFlow) from ? Transformers with TensorFlow Extended (TFX)

Machine Learning Pipeline for Semantic Segmentation with TensorFlow Extended (TFX) and various GCP products

NitroML is a modular, portable, and scalable model-quality benchmarking framework for Machine Learning and Automated Machine Learning (AutoML) pipelines.

End-to-end pipeline with TFX to train and deploy a BERT model for sentiment analysis.

Awesome MLOps Course Outline

Project demonstrating dual model deployment scenarios using Vertex AI (GCP).

https://blog.tensorflow.org/2021/12/continuous-adaptation-for-machine.html

Assignments of "Machine Learning Engineering for Production (MLOps) Specialization" by Coursera (https://www.coursera.org/specializations/machine-learning-engineering-for-production-mlops)

Machine Learning with TensorFlow Extended (TFX) Pipelines

An example of TFX intended to work with Vertex AI in Google Cloud

MLOps End-to-End pipeline using TFX

My practices in mlops tools ?. Feel free to explore the various scripts and files ??. I am just diving into the world of production-ready Machine Learning with streamlined workflows. ?

Personal project aimed at developing a ML service which resembles a production environment system

The TFX Automation Bot is a cutting-edge Python-based tool designed to streamline machine learning pipelines and optimize TensorFlow Extended (TFX) workflows. This bot automates model training, validation, deployment, and monitoring, making AI development seamless and efficient.