2 مستودعات
Iterative processing stages that scan and polish text through multiple linguistic filters.
Distinct from Multi-Pass Refinement: Candidates focus on image upscaling, compiler diffs, or regex scanning, not iterative text humanization.
Explore 2 awesome GitHub repositories matching artificial intelligence & ml · Text Refinement Passes. Refine with filters or upvote what's useful.
Humanizer is a text processing system designed to remove machine-generated patterns from writing to make it sound more natural and conversational. It functions as an auditor and rewriter that identifies robotic signatures, formulaic tropes, and mechanical formatting in machine output. The project features a style-matching system that analyzes provided writing samples to replicate a user's specific sentence rhythms, vocabulary, and punctuation habits. This allows the tool to mirror a personal voice and apply a calibrated tone to the rewritten text. The system covers a broad range of linguisti
Iteratively scans generated text through different filters to identify and remove robotic signatures.
Humanizer-zh is a tool designed to transform AI-generated content into natural-sounding writing by removing repetitive patterns and mechanical formatting. It functions as an AI content de-optimizer and text humanizer specifically focused on making Chinese text sound more human-authored. The project specializes in Chinese language refinement, replacing corporate jargon and artificial linguistic markers with native expressions and varied sentence rhythms. It employs a system to strip formulaic signatures and repetitive structures common in large language model outputs to increase perceived auth
Ships an iterative processing pipeline that polishes text through multiple linguistic filters.