Learn rule-based models from examples using LLM-powered synthesis. Replace expensive LLM calls with fast, deterministic, inspectable regex, code, or spaCy rules.

6 stars 4 forks 6 watchers Python Apache License 2.0
information-extraction machine-learning named-entity-recognition nlp python regex rule-learning rules spacy text-classification
7 Open Issues Need Help Last updated: Jul 1, 2026

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Learn rule-based models from examples using LLM-powered synthesis. Replace expensive LLM calls with fast, deterministic, inspectable regex, code, or spaCy rules.

Python
#information-extraction#machine-learning#named-entity-recognition#nlp#python#regex#rule-learning#rules#spacy#text-classification

Learn rule-based models from examples using LLM-powered synthesis. Replace expensive LLM calls with fast, deterministic, inspectable regex, code, or spaCy rules.

Python
#information-extraction#machine-learning#named-entity-recognition#nlp#python#regex#rule-learning#rules#spacy#text-classification
help wanted

Learn rule-based models from examples using LLM-powered synthesis. Replace expensive LLM calls with fast, deterministic, inspectable regex, code, or spaCy rules.

Python
#information-extraction#machine-learning#named-entity-recognition#nlp#python#regex#rule-learning#rules#spacy#text-classification
help wanted

Learn rule-based models from examples using LLM-powered synthesis. Replace expensive LLM calls with fast, deterministic, inspectable regex, code, or spaCy rules.

Python
#information-extraction#machine-learning#named-entity-recognition#nlp#python#regex#rule-learning#rules#spacy#text-classification

Learn rule-based models from examples using LLM-powered synthesis. Replace expensive LLM calls with fast, deterministic, inspectable regex, code, or spaCy rules.

Python
#information-extraction#machine-learning#named-entity-recognition#nlp#python#regex#rule-learning#rules#spacy#text-classification

Learn rule-based models from examples using LLM-powered synthesis. Replace expensive LLM calls with fast, deterministic, inspectable regex, code, or spaCy rules.

Python
#information-extraction#machine-learning#named-entity-recognition#nlp#python#regex#rule-learning#rules#spacy#text-classification
Tighten dead-rule pruning about 4 hours ago
good first issue

Learn rule-based models from examples using LLM-powered synthesis. Replace expensive LLM calls with fast, deterministic, inspectable regex, code, or spaCy rules.

Python
#information-extraction#machine-learning#named-entity-recognition#nlp#python#regex#rule-learning#rules#spacy#text-classification