Machine Learning Engineering for Production (MLOps) Specialization
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Updated
Jun 6, 2024 - Jupyter Notebook
Machine Learning Engineering for Production (MLOps) Specialization
An end-to-end example of MLOps on Google Cloud using TensorFlow, TFX, and Vertex AI
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.
loan status prediction pipeline ran on tfx and airflow
PipelineAI
This project performs a semantic search on Stackoverflow datasets. It uses MiniLM Sentence Transformers Model to generate the embedding and Vertex AI Vector Search to index and query the embeddings. The index is periodically updated using TFX pipeline.
Restaurant review classification using TFX as pipeline. Deployed with TF-Serving and monitored using Prometheus and Grafana
Customer churn prediction using TFX as pipeline. Deployed with TF-Serving and monitored using Prometheus and Grafana
End-to-end machine learning project to detect tweet is a disaster or not disaster + monitoring model serving using Prometheus and Grafana
🌱 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.
Docker, Kubernetes, Minikube, MLFlow, KuberFlow, Model serving, CI/CD, Monitoring ,...
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
Machine Learning with TensorFlow Extended (TFX) Pipelines
End-to-end pipeline with TFX to train and deploy a BERT model for sentiment analysis.
An end-to-end example of Chicago taxi on Google Cloud using TensorFlow, TFX, and Vertex AI
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
An example of TFX intended to work with Vertex AI in Google Cloud
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