mlops-with-vertex-ai vs MLOps

mlops-with-vertex-ai

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

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MLOps

MLOps examples (by microsoft)

Mlops azureml

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mlops-with-vertex-ai		MLOps
	Project
2	Mentions	2
327	Stars	1,709
2.1%	Growth	10.4%
0.0	Activity	2.5
12 months ago	Latest Commit	9 months ago
Jupyter Notebook	Language	Jupyter Notebook
Apache License 2.0	License	MIT License

The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

mlops-with-vertex-ai

Posts with mentions or reviews of mlops-with-vertex-ai. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-03.

Where to start?
2 projects | /r/mlops | 3 Jun 2022

To take it to the next level, maybe start to dive into a truer "end-to-end mlops" example.
GitHub - GoogleCloudPlatform/mlops-with-vertex-ai: An end-to-end example of MLOps on Google Cloud using TensorFlow, TFX, and Vertex AI
1 project | /r/mlops | 28 Nov 2021

MLOps

Posts with mentions or reviews of MLOps. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-16.

Deploying Azure Machine Learning Models to Prod Environments
1 project | /r/azuredevops | 6 Nov 2021

Walk through this, it shows how to operationalise your ML pipeline https://github.com/Microsoft/MLOps
[D] How to maintain ML models?
5 projects | /r/MachineLearning | 16 Sep 2021

Maybe something like this: https://github.com/microsoft/MLOps

What are some alternatives?

When comparing mlops-with-vertex-ai and MLOps you can also consider the following projects:

mlops-course - Learn how to design, develop, deploy and iterate on production-grade ML applications.

MLflow - Open source platform for the machine learning lifecycle

Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.

dvc - 🦉 ML Experiments and Data Management with Git

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

pytorch-deepdream - PyTorch implementation of DeepDream algorithm (Mordvintsev et al.). Additionally I've included playground.py to help you better understand basic concepts behind the algo.

vertex-ai-samples - Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud

mllint - `mllint` is a command-line utility to evaluate the technical quality of Python Machine Learning (ML) projects by means of static analysis of the project's repository.

amazon-sagemaker-examples - Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

awesome-seml - A curated list of articles that cover the software engineering best practices for building machine learning applications.