azureml-examples VS MachineLearningNotebooks

Compare azureml-examples vs MachineLearningNotebooks and see what are their differences.

azureml-examples

Official community-driven Azure Machine Learning examples, tested with GitHub Actions. (by Azure)

MachineLearningNotebooks

Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft (by Azure)
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azureml-examples MachineLearningNotebooks
4 2
1,573 3,958
3.1% 0.7%
9.6 5.6
3 days ago 7 days ago
Jupyter Notebook Jupyter Notebook
MIT 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.

azureml-examples

Posts with mentions or reviews of azureml-examples. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-29.

MachineLearningNotebooks

Posts with mentions or reviews of MachineLearningNotebooks. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing azureml-examples and MachineLearningNotebooks you can also consider the following projects:

pycaret - An open-source, low-code machine learning library in Python

One-Piece-Image-Classifier - A quick image classifier trained with manually selected One Piece images.

nlpaug - Data augmentation for NLP

mlops-v2 - Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.

CodeSearchNet - Datasets, tools, and benchmarks for representation learning of code.

computervision-recipes - Best Practices, code samples, and documentation for Computer Vision.

Understanding_the_EM_Algorithm - Codes for my blog post "Understanding the EM Algorithm" https://mistylight.github.io/posts/20115/

MLOps - MLOps examples

ML-For-Beginners - 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

pedestrian-intent-prediction - Repository for master thesis at the Chalmers University of Technology

feature-engineering-tutorials - Data Science Feature Engineering and Selection Tutorials