MLB-Pitch-Identification-with-ML VS mfp-wrapped

Compare MLB-Pitch-Identification-with-ML vs mfp-wrapped and see what are their differences.

mfp-wrapped

Data app to provide analytics for myfitnesspal users: a calorie counter and food journal (by ismailmo1)
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MLB-Pitch-Identification-with-ML mfp-wrapped
1 2
5 1
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0.0 0.0
over 1 year ago 3 months ago
Jupyter Notebook Jupyter Notebook
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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.

MLB-Pitch-Identification-with-ML

Posts with mentions or reviews of MLB-Pitch-Identification-with-ML. We have used some of these posts to build our list of alternatives and similar projects.

mfp-wrapped

Posts with mentions or reviews of mfp-wrapped. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-07.

What are some alternatives?

When comparing MLB-Pitch-Identification-with-ML and mfp-wrapped you can also consider the following projects:

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

keytotext - Keywords to Sentences

python-machine-learning-book - The "Python Machine Learning (1st edition)" book code repository and info resource

ststats - UK Specialty Training Stats

DataScienceProjects

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

examples - 📝 Examples of how to use Neptune for different use cases and with various MLOps tools

code - Compilation of R and Python programming codes on the Data Professor YouTube channel.

russo-ukraine-war-prediction-losses - Highlights rusian losses with predictions based on historic data from Ministry Defence of Ukraine 🐱‍👤