explosion/jupyterlab-prodigy
🧬 A JupyterLab extension for annotating data with Prodigy
This tool helps machine learning engineers and data scientists efficiently create high-quality training data for their models. It allows you to feed raw data like text, images, or audio into an integrated annotation interface and produce structured, labeled datasets ready for model training. This is for anyone who needs to manually review and label data to build or improve AI applications.
189 stars. No commits in the last 6 months. Available on npm.
Use this if you are a machine learning engineer or data scientist who needs a seamless way to annotate data and develop models within the JupyterLab environment.
Not ideal if you are a casual user who only needs to perform simple, one-off data labeling tasks outside of a development workflow.
Stars
189
Forks
24
Language
TypeScript
License
MIT
Category
Last pushed
May 10, 2023
Commits (30d)
0
Dependencies
6
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