awesome-repositories.com
المدونة
awesome-repositories.com

اكتشف أفضل مستودعات المصادر المفتوحة باستخدام بحث مدعوم بالذكاء الاصطناعي.

استكشفعمليات بحث منسقةبدائل مفتوحة المصدربرمجيات ذاتية الاستضافةالمدونةخريطة الموقع
المشروعحولكيفية ترتيب النتائجالصحافةخادم MCP
قانونيالخصوصيةالشروط
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·

2 مستودعات

Awesome GitHub RepositoriesExample-Based Matching

The process of synthesizing a single pattern that satisfies a set of positive input examples.

Distinct from Test Case Generators: Candidates focus on test case generation or fuzzy matching, not the synthesis of a regex from a set of requirements.

Explore 2 awesome GitHub repositories matching development tools & productivity · Example-Based Matching. Refine with filters or upvote what's useful.

Awesome Example-Based Matching GitHub Repositories

اعثر على أفضل المستودعات باستخدام الذكاء الاصطناعي.سنبحث عن أفضل المستودعات المطابقة باستخدام الذكاء الاصطناعي.
  • pemistahl/grexالصورة الرمزية لـ pemistahl

    pemistahl/grex

    8,135عرض على GitHub↗

    Grex is a regular expression generator and Rust pattern library that synthesizes a single regular expression from a set of provided text test cases. It functions as a command-line tool and a library, utilizing a Rust-based engine to analyze commonalities across input strings to create matching patterns. The project distinguishes itself through Unicode-aware grapheme processing, ensuring consistent matching across diverse character sets and non-ASCII text. It also provides Python bindings to make its core Rust logic available within Python environments. The system covers pattern generalizatio

    Develops a single regular expression that satisfies multiple input requirements by identifying common prefixes and suffixes.

    Rustclicommand-line-toolpython
    عرض على GitHub↗8,135
  • dedupeio/dedupeالصورة الرمزية لـ dedupeio

    dedupeio/dedupe

    4,442عرض على GitHub↗

    Dedupe is a machine learning tool for entity resolution that identifies and merges duplicate records in structured datasets. It uses active learning to train a matching model from human-labeled examples, learning which field-level similarities are most important for detecting duplicates without requiring manual rule writing. The system combines fingerprint-based blocking to reduce pairwise comparisons, enabling efficient matching on large datasets, and groups scored record pairs into clusters using a configurable similarity threshold. The tool provides multiple interfaces for different workfl

    Trains matching rules from human-labeled examples to automate duplicate detection across datasets.

    Pythonclusteringdatamadede-duplicating
    عرض على GitHub↗4,442
  1. Home
  2. Development Tools & Productivity
  3. Example-Based Matching

استكشف الوسوم الفرعية

  • Active Learning Matchers1 وسم فرعيMatching models that learn rules from human-labeled examples to automate similarity identification. **Distinct from Example-Based Matching:** Focuses on an active learning training loop for record matching, not just synthesizing a pattern from examples.