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anonymous

1 points

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Posted17 days agoActive10 days ago

Misata

github.com

mvplibrarydevelopers

Key Features

synthetic data generationrelational and temporal integritynatural language rule definition

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LLM

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Vectorized NumPy

Groq/Llama-3.3

Pandas

DuckDB

synthetic dataai image generationdata preprocessingLarge Language Models

Discussion (2 comments)

Showing 2 comments

twelvechess

13 days ago

That would be useful for testing MVPs with dummy data to see if they work. However, synthetic data is usually used when you derive new data from existing data, so the new data is called synthetic. From the README I didn't quite catch if that is the case here, but still useful.

OutOfHere

10 days ago

Is it possible to incrementally update the schema? I may like to develop it over say ten iterations of incremental points that I missed. After each iteration, I want examine the schema, and say what I want changed.

View on Hacker NewsHN ID: 46289055Mood: informative

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