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2 dépôts

Awesome GitHub RepositoriesCanonical Data Matching

Matching messy or inconsistent records against a clean, authoritative reference dataset.

Distinct from Canonical Data Hash-Consing: Distinct from domain enforcements or cryptographic key thumbprinting; it focuses on record linkage against a golden dataset.

Explore 2 awesome GitHub repositories matching data & databases · Canonical Data Matching. Refine with filters or upvote what's useful.

Awesome Canonical Data Matching GitHub Repositories

Trouvez les meilleurs dépôts grâce à l'IA.Nous recherchons les dépôts les plus pertinents grâce à l'IA.
  • dedupeio/dedupeAvatar de dedupeio

    dedupeio/dedupe

    4,442Voir sur 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

    Indexes a clean reference dataset and searches messy records against it to find the best matching canonical records.

    Pythonclusteringdatamadede-duplicating
    Voir sur GitHub↗4,442
  • 0x0be/yesitsmeAvatar de 0x0be

    0x0be/yesitsme

    2,809Voir sur GitHub↗

    yesitsme is an Instagram OSINT search tool and identity mapping system used to locate social media profiles. It functions as a social media reconnaissance utility that correlates personal identifiers with account data to aid in digital investigations. The tool enables the discovery of Instagram accounts by matching target names, email addresses, or phone numbers against indexed records. This process allows for digital identity verification and contact-based user lookup to confirm if a specific person has a presence on the platform. The system incorporates an asynchronous request queue to man

    Compares target names, emails, or phone numbers against a pre-compiled database to identify potential account associations.

    Pythoninstagramopen-source-intelligenceosint
    Voir sur GitHub↗2,809
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Explorer les sous-tags

  • Indexed Identity MatchingMatching target personal identifiers against pre-compiled indices to find associated accounts. **Distinct from Canonical Data Matching:** Focuses on matching identifiers against an index for discovery, rather than cleaning messy records against a golden dataset.