raphaelsty/mkb
Knowledge Base Embedding By Cooperative Knowledge Distillation
This tool helps organize complex, interconnected information, like facts about biology or geographical relationships, into a structured format called a knowledge graph. You input your facts as simple statements (like 'duck is a bird'), and it outputs numerical representations (embeddings) of these facts, entities, and relationships. Data scientists and researchers can use these embeddings to discover hidden patterns, make predictions, or power AI applications that understand intricate knowledge.
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Use this if you need to transform a large collection of related facts into a numerically representable format for advanced analytics or machine learning tasks.
Not ideal if you're looking for a simple database or a visualization tool for your data, as this is focused on generating numerical embeddings rather than direct data storage or display.
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67
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Language
Python
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Category
Last pushed
Oct 02, 2022
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Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/raphaelsty/mkb"
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