MAPIE VS glasgow-litter

Compare MAPIE vs glasgow-litter and see what are their differences.

MAPIE

A scikit-learn-compatible module for estimating prediction intervals. (by scikit-learn-contrib)

glasgow-litter

A project that explores the relationship between deprivation and litter in Glasgow City. 🚯 (by Garee)
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MAPIE glasgow-litter
1 2
1,164 3
2.7% -
9.7 6.1
5 days ago 7 months ago
Jupyter Notebook Jupyter Notebook
BSD 3-clause "New" or "Revised" 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.

MAPIE

Posts with mentions or reviews of MAPIE. We have used some of these posts to build our list of alternatives and similar projects.
  • How to calculate confidence level of a regression model?
    1 project | /r/MLQuestions | 16 Sep 2022
    Did some research and apparently there are number of ways and regression seems to be quite hard and no straightforward answer. Came across MAPIE (https://github.com/scikit-learn-contrib/MAPIE) which predicts a upper and lower range of values.. how can I then calculate the confidence for a given prediction?

glasgow-litter

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

What are some alternatives?

When comparing MAPIE and glasgow-litter you can also consider the following projects:

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100DaysofMLCode - My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings :+1:

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PyABSA - Sentiment Analysis, Text Classification, Text Augmentation, Text Adversarial defense, etc.;

FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

TACO - 🌮 Trash Annotations in Context Dataset Toolkit

60-Days-of-Data-Science-and-ML - 60 Days of Data Science and ML