data-centric-ai VS data-centric-AI

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

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data-centric-ai data-centric-AI
1 4
1,068 981
1.5% -
0.0 4.5
5 months ago 9 days ago
TeX
Apache License 2.0 -
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.

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 2021-09-13.

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.

What are some alternatives?

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

argilla - Argilla is a collaboration platform for AI engineers and domain experts that require high-quality outputs, full data ownership, and overall efficiency.

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

pytorch-lightning - The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate. [Moved to: https://github.com/PyTorchLightning/pytorch-lightning]

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

prometheus-spec - Cryptoeconomically-safe trustless high-load computing on top of Bitcoin

ml-visuals - 🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]

MidJourney-Styles-and-Keywords-Reference - A reference containing Styles and Keywords that you can use with MidJourney AI. There are also pages showing resolution comparison, image weights, and much more!

spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python

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

autoscraper - A Smart, Automatic, Fast and Lightweight Web Scraper for Python

DikeDataset - Dataset with labeled benign and malicious files 🗃️