magpie turns the hoarded videos in my WL playlist into a categorized library using vector math
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Updated
Aug 26, 2026 - Python
magpie turns the hoarded videos in my WL playlist into a categorized library using vector math
A new package facilitates extracting a concise, structured summary from user-provided news headlines or brief texts by utilizing pattern matching and LLM interactions. This tool aims to help researche
text-parsematch processes text input with pattern matching and retries to ensure structured, validated output for data extraction and content categorization.
vidconcept-sum generates structured, factual summaries of scientific/educational concepts from video titles or descriptions using an LLM.
A new package that takes user-provided text input and returns structured, validated output using pattern matching to ensure consistent formatting. It processes text extracted from various sources like
This project analyzes Netflix's content library using SQL. It explores content type distribution, rating trends, country-wise content availability, and genre classification to extract meaningful insights from Netflix data for better analysis.
cans one or more URLs for content categorization using the WhoisXML Website Categorization API.
🔍 Process text inputs effortlessly with this Python package, returning structured and validated outputs using pattern matching and retries.
🔍 Process text inputs effortlessly with this Python package, returning structured and validated outputs using pattern matching and retries.
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