CIlib-tutorial VS data-centric-ai

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

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CIlib-tutorial data-centric-ai
- 1
5 1,070
- 1.4%
0.0 0.0
almost 5 years ago 5 months ago
TeX 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.

CIlib-tutorial

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

We haven't tracked posts mentioning CIlib-tutorial yet.
Tracking mentions began in Dec 2020.

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.

What are some alternatives?

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

CIlib - Typesafe, purely functional Computational Intelligence

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

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]

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

data-centric-AI - A curated, but incomplete, list of data-centric AI resources.

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]

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

DikeDataset - Dataset with labeled benign and malicious files 🗃️

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