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

PipelineAI

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/

Developers helping developers. TFX-Addons is a collection of community projects to build new components, examples, libraries, and tools for TFX. The projects are organized under the auspices of the special interest group, SIG TFX-Addons. Join the group at http://goo.gle/tfx-addons-group

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

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

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

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

Awesome MLOps Course Outline

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

A fluent API layer for tensorflow extended e2e machine learning pipelines

Code for creating end-end TFX production pipeline for GPT-2.

TangoFX Sessions is a plug and play platform for Internet calling. It not only makes video call over internet but also provides us the ability to use immensely interactive tools with our communication for example features such as creating drawing or writing code together while in a video call.

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

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.

Machine Learning Operations - Stroke Disease Detection

This repository contains code to train, export and serve a Tensorflow model with TFServing. Additionally, this repository provides the installation and configuration of TFServing through a Docker image.