tfx

PipelineAI Kubeflow Distribution

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

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

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.

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

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

Kubeflow pipelines built on top of Tensorflow TFX library

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.

Machine Learning with TensorFlow Extended (TFX) Pipelines

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

This is an example of what a TFX pipeline would look like when used for NLP

A TFX implementation of the paper on transformers, Attention is All You Need

Aware is DeepFake detection solution built on top of different existing pre-trained open source models.

Building end-to-end production grade machine learning pipelines.

A sample program for image classification model using TFX.

This repository shows how to create and deploy TFX (TensorFlow Extended) pipelines on Google Cloud Platform.

TensorFlow Extended tutorials

deeplearning.ai Course Materials

Pipeline Implementation using TFX for Plant Disease Detection Model. The Repository includes the keras model code, pipeline implementation for local Deployment & Airflow Noteebooks, a Minimalistic Client for testing the model after Serving it (TFX Serving REST-API), and a Simple Proxy Server.

Verification of the 2018 TFX Qualifier Competition Leaderboard

Collection of components for TFX

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

Playing around with Tensorflow Extended