guenthermi/table-embeddings
Tools for training schema-aware Web table embedding for unsupervised and supervised machine learning on tabular data
This tool helps data professionals understand and compare tabular data, especially data found on the web. It takes text labels from table headers or data cells and converts them into numerical representations, which can then be used for various analytical tasks. Data analysts, researchers, or anyone working with large collections of tables would use this to find similar tables or classify table content.
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Use this if you need to analyze, classify, or find relationships between many different tables, particularly those scraped from the web, and want to represent table elements numerically for machine learning.
Not ideal if your primary need is simply to extract data from a single web table, or if you are not comfortable with concepts like data embeddings or machine learning workflows.
Stars
21
Forks
1
Language
Python
License
MIT
Category
Last pushed
Apr 14, 2024
Commits (30d)
0
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curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/guenthermi/table-embeddings"
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