mlops-zoomcamp VS mlcomops

Compare mlops-zoomcamp vs mlcomops and see what are their differences.

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mlops-zoomcamp mlcomops
23 1
9,894 17
13.7% -
7.5 10.0
8 days ago over 1 year ago
Jupyter Notebook Python
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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-zoomcamp

Posts with mentions or reviews of mlops-zoomcamp. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-12.

mlcomops

Posts with mentions or reviews of mlcomops. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-12.

What are some alternatives?

When comparing mlops-zoomcamp and mlcomops you can also consider the following projects:

data-engineering-zoomcamp - Free Data Engineering course!

comet-examples - Examples of Machine Learning code using Comet.ml

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

you-dont-need-a-bigger-boat - An end-to-end implementation of intent prediction with Metaflow and other cool tools

software-dev-for-mlops-101 - Set up your local environment to do some real Machine Learning Operations software development, just like pro MLOps practitioners.

fake-s3 - A lightweight server clone of Amazon S3 that simulates most of the commands supported by S3 with minimal dependencies

20220726_Databricks_Demo_Transfer_Learning_with_MLflow - We will go hands-on with an image classification demo using transfer learning, while leveraging MLflow to track our model experiments on Databricks

mlbookcamp-code - The code from the Machine Learning Bookcamp book

awesome-mlops - A curated list of references for MLOps

huggingface-demos

mlflow-deployments - Source code for the post Effortless deployments with MLFlow, showcasing how logging models using MLFLow can provide you want to easily deploy them in production later.