awesome-active-learning VS awesome-open-data-centric-ai

Compare awesome-active-learning vs awesome-open-data-centric-ai and see what are their differences.

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awesome-active-learning awesome-open-data-centric-ai
1 1
675 678
- -
4.0 5.8
23 days ago 6 months ago
Creative Commons Zero v1.0 Universal Creative Commons Attribution 4.0
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-active-learning

Posts with mentions or reviews of awesome-active-learning. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-16.

awesome-open-data-centric-ai

Posts with mentions or reviews of awesome-open-data-centric-ai. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing awesome-active-learning and awesome-open-data-centric-ai you can also consider the following projects:

examples - Notebooks demonstrating example applications of the cleanlab library

internet-explorer - Internet Explorer explores the web in a self-supervised manner to progressively find relevant examples that improve performance on a desired target dataset.

deep-active-learning - Deep Active Learning

spotlight - Interactively explore unstructured datasets from your dataframe.

Encord Active - Open source active learning toolkit to find failure modes in your computer vision models, prioritize data to label next, and drive data curation to improve model performance.

WhereIsAI - AI company, product, and tool collection.

awesome-synthetic-data - 📖 A curated list of resources dedicated to synthetic data

Awesome-Learning-with-Label-Noise - A curated list of resources for Learning with Noisy Labels

cleanlab - The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

refinery - The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.