#计算机科学#A guideline for building practical production-level deep learning systems to be deployed in real world applications.
翻译 - 建立在实际应用中部署的实际生产级深度学习系统的指南。
#计算机科学#PipelineAI
翻译 - PipelineAI Kubeflow分布
An end-to-end example of MLOps on Google Cloud using TensorFlow, TFX, and Vertex AI
#计算机科学#Build Low Code Automated Tensorflow explainable models in just 3 lines of code. Library created by: Hasan Rafiq - https://www.linkedin.com/in/sam04/
#计算机科学#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 ...
Machine Learning Pipeline for Semantic Segmentation with TensorFlow Extended (TFX) and various GCP products
#自然语言处理#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).
#计算机科学#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)
#计算机科学#Kubeflow pipelines built on top of Tensorflow TFX library
#计算机科学#Machine Learning with TensorFlow Extended (TFX) Pipelines
#计算机科学#A fluent API layer for tensorflow extended e2e machine learning pipelines
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...
An example of TFX intended to work with Vertex AI in Google Cloud
#计算机科学#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, valida...
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 imag...