skweak VS snorkel

Compare skweak vs snorkel and see what are their differences.

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skweak snorkel
8 6
918 5,805
0.1% 0.3%
6.2 5.2
2 months ago 6 months ago
Python Python
MIT License 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.

skweak

Posts with mentions or reviews of skweak. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-07.

snorkel

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

What are some alternatives?

When comparing skweak and snorkel you can also consider the following projects:

argilla - Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets

DearPy3D - Dear PyGui 3D Engine (prototyping)

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

AugLy - A data augmentations library for audio, image, text, and video.

weasel - Weakly Supervised End-to-End Learning (NeurIPS 2021)

snorkel - A system for quickly generating training data with weak supervision [Moved to: https://github.com/snorkel-team/snorkel]

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

Text-Summarization-using-NLP - Text Summarization using NLP to fetch BBC News Article and summarize its text and also it includes custom article Summarization

caer - High-performance Vision library in Python. Scale your research, not boilerplate.

evidently - Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

snorkel-tutorials - A collection of tutorials for Snorkel

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