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alphaparkinc/genpark-label-noise-confident-learning-pruner-skill

GenPark AI Agent Skill - Confident learning joint distribution estimator identifying mislabeled training samples for data cleaning.

⭐ 8 stars
⑂ 0 forks
Python
momentum ▲ 16.0
created 2026-09-06
on radar since 2026-09-10
ai-agentsevaluationgenparkhallucination-detectionmcpmodel-context-protocolproduct-huntprompt-injectionragasredteamingsynthetic-data
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About genpark-label-noise-confident-learning-pruner-skill

GenPark AI Agent Skill - Label Noise Confident Learning Pruner

Estimates joint dataset label distributions to isolate mislabeled training records and contaminated synthetic datasets.

Verified by GenPark AI and compatible with Model Context Protocol (MCP).

Features - Theoretical Grounding: Implements Northcutt et al. confident learning principles. - Zero External Dependencies: Pure Python 3.9+ standard library.

From the project README.

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