France-Travail/embcompare
A simple python tool for embedding comparison
EmbCompare helps you visually and numerically compare different versions of your text embeddings or word vectors. You input two embedding files (like Word2Vec, FastText, or GloVe) along with optional frequency and label files, and it produces a detailed JSON report of comparison metrics or a visual interface to explore similarities and differences. This tool is for data scientists, NLP engineers, or researchers who need to evaluate how different embedding models perform or evolve over time.
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Use this if you need to quickly assess the quality, consistency, or changes between two sets of text embeddings, either through quantitative metrics or an interactive visual tool.
Not ideal if you need a comprehensive solution for storing, managing, and tracking many embedding experiments over a long period, as it performs all computations in memory.
Stars
7
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Language
Python
License
AGPL-3.0
Category
Last pushed
Mar 25, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/France-Travail/embcompare"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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