JieyuZ2/wrench
[NeurIPS 2021] WRENCH: Weak supeRvision bENCHmark
This platform helps data scientists and machine learning practitioners quickly evaluate and develop models for 'weak supervision.' Weak supervision is a technique to create training data for machine learning models without the need for extensive manual labeling, which is often time-consuming and expensive. You input raw data and 'weak' labeling rules, and the system outputs high-quality training labels, enabling you to build classification models more efficiently.
227 stars. No commits in the last 6 months.
Use this if you need to build machine learning models but lack sufficient hand-labeled training data and can instead define programmatic rules or heuristics.
Not ideal if you already have a perfectly labeled, high-quality dataset and don't need to generate training data programmatically.
Stars
227
Forks
34
Language
Python
License
Apache-2.0
Category
Last pushed
Feb 13, 2024
Commits (30d)
0
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