awesome-conformal-prediction VS slice_finder

Compare awesome-conformal-prediction vs slice_finder and see what are their differences.

slice_finder

A Framework for Slice Discovery (by igaloly)
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awesome-conformal-prediction slice_finder
6 1
3,404 39
- -
9.5 10.0
10 days ago about 1 year ago
Python
Creative Commons Zero v1.0 Universal -
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.

awesome-conformal-prediction

Posts with mentions or reviews of awesome-conformal-prediction. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-08.

slice_finder

Posts with mentions or reviews of slice_finder. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-08.

What are some alternatives?

When comparing awesome-conformal-prediction and slice_finder you can also consider the following projects:

Machine-Learning-Tutorials - machine learning and deep learning tutorials, articles and other resources

Awesome-pytorch-list - A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

conformal-prediction - Lightweight, useful implementation of conformal prediction on real data.

metaflow - :rocket: Build and manage real-life ML, AI, and data science projects with ease!

ds-cheatsheets - List of Data Science Cheatsheets to rule the world

datascience - Curated list of Python resources for data science.

awesome-python-data-science - Probably the best curated list of data science software in Python.