data-centric-AI VS Failed-ML

Compare data-centric-AI vs Failed-ML and see what are their differences.

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data-centric-AI Failed-ML
4 1
990 618
- -
4.5 5.2
13 days ago 2 months ago
- 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.

data-centric-AI

Posts with mentions or reviews of data-centric-AI. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-27.

Failed-ML

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

What are some alternatives?

When comparing data-centric-AI and Failed-ML you can also consider the following projects:

data-centric-ai - Resources for Data Centric AI

ML-YouTube-Courses - 📺 Discover the latest machine learning / AI courses on YouTube.

500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code - 500 AI Machine learning Deep learning Computer vision NLP Projects with code

BetaML.jl - Beta Machine Learning Toolkit

machine-learning-for-software-engineers - A complete daily plan for studying to become a machine learning engineer.

squirrel-core - A Python library that enables ML teams to share, load, and transform data in a collaborative, flexible, and efficient way :chestnut: