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

• UpdatedNov 17, 2023

PipelineAI

• UpdatedApr 17, 2024
• Jsonnet

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

• UpdatedMay 1, 2024
• Jupyter Notebook

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

• UpdatedDec 9, 2022
• Python

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 athttp://goo.gle/tfx-addons-group

• UpdatedJun 18, 2024
• Jupyter Notebook

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

• UpdatedJun 22, 2023
• Jupyter Notebook

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

• UpdatedOct 21, 2023
• Jupyter Notebook

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

• UpdatedMar 10, 2021
• Jupyter Notebook

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

• UpdatedDec 28, 2021
• Jupyter Notebook

Awesome MLOps Course Outline

• UpdatedDec 27, 2022

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

• UpdatedDec 10, 2021
• Jupyter Notebook

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

• UpdatedOct 5, 2021
• Jupyter Notebook

Machine Learning with TensorFlow Extended (TFX) Pipelines

• UpdatedNov 9, 2023
• Jupyter Notebook

A fluent API layer for tensorflow extended e2e machine learning pipelines

• UpdatedSep 8, 2020
• Python

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

• UpdatedFeb 5, 2021
• Python

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.

• UpdatedJan 28, 2025
• JavaScript

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

• UpdatedAug 7, 2023
• Python

Machine Learning Operations - Stroke Disease Detection

• UpdatedJan 21, 2023
• Jupyter Notebook

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.

• UpdatedApr 30, 2024
• Python

Using pachyderm as pipeline engine to serve "taxi chicago" machine learning models

• UpdatedOct 19, 2018
• Makefile