MartinCastroAlvarez/html2vec
Algorithm that converts an HTML to a vectorized object suitable for neural networks.
This tool helps data scientists and machine learning engineers transform raw HTML content into a structured format for AI models. It takes a web page's HTML code as input and converts it into a vectorized object, which can then be fed into neural networks, including those designed for sequence analysis. This is ideal for anyone building AI applications that need to understand or process web page content.
No commits in the last 6 months.
Use this if you need to convert web pages into a machine-readable, numerical format for training or inference with neural networks.
Not ideal if you just need to extract simple text from HTML or parse its structure without converting it for machine learning purposes.
Stars
14
Forks
2
Language
Python
License
—
Category
Last pushed
Nov 02, 2020
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/perception/MartinCastroAlvarez/html2vec"
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