stylometric-transfer
ngpepin
Interpretable stylometric profiling + author-style transfer built on explicit and LLM-genenated JSON fingerprints and local measurements. Fingerprint your corpus, inspect/visualize signals, then LLM-generate stylistically similar text with meaning preserved, deterministic post-processing, normalization controls, and deviation reports. CLI + API.
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2 data points · 2026-04-13 → 2026-04-20How do you feel about this project?
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Question copied to clipboardWhat is the ngpepin/stylometric-transfer GitHub project? Description: "Interpretable stylometric profiling + author-style transfer built on explicit and LLM-genenated JSON fingerprints and local measurements. Fingerprint your corpus, inspect/visualize signals, then LLM-generate stylistically similar text with meaning preserved, deterministic post-processing, normalization controls, and deviation reports. CLI + API.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.
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