MLOps VS mlops-with-vertex-ai

Compare MLOps vs mlops-with-vertex-ai and see what are their differences.

MLOps

MLOps examples (by microsoft)
Mlops azureml
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mlops-with-vertex-ai

An end-to-end example of MLOps on Google Cloud using TensorFlow, TFX, and Vertex AI (by GoogleCloudPlatform)
Mlops vertex-ai tfx GCP Tensorflow google-cloud-platform
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MLOps mlops-with-vertex-ai
2 2
1,709 326
10.4% 2.1%
2.5 0.0
9 months ago 12 months ago
Jupyter Notebook Jupyter Notebook
MIT License Apache License 2.0
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

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.

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.

What are some alternatives?

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

MLflow - Open source platform for the machine learning lifecycle

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

dvc - 🦉 ML Experiments and Data Management with Git

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

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.

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

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.

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

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

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

MachineLearningNotebooks - Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft

generative-ai - Sample code and notebooks for Generative AI on Google Cloud

MLOps vs MLflow mlops-with-vertex-ai vs mlops-course MLOps vs dvc mlops-with-vertex-ai vs Made-With-ML MLOps vs pytorch-deepdream mlops-with-vertex-ai vs nitroml MLOps vs mllint mlops-with-vertex-ai vs vertex-ai-samples MLOps vs awesome-seml mlops-with-vertex-ai vs amazon-sagemaker-examples MLOps vs MachineLearningNotebooks mlops-with-vertex-ai vs generative-ai