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.
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
vidconcept-sum generates structured, factual summaries of scientific/educational concepts from video titles or descriptions using an LLM.
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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