Fuzzy matching and more functionality for spaCy.
современный голосовой ассистент для Windows
DuckDB Community Extension adding RapidFuzz algorithms for search, deduplication, and record linkage.
Fast Batch String Matching in Python (Levenshtein, Jaro-Winkler, Hamming) with Zero Cache Misses - made for Python, written in C++
Fast Scalable Dedupe - Fuzzy Matching With Opensearch + nmslib + Rapidfuzz
A simple and efficient spelling correction system that uses Python's rapidfuzz library to find and correct misspelled sentences by matching them with the closest correct ones from a given dataset.
NovelNudge is a book recommendation engine that embeds titles, descriptions, authors, and genres using SentenceTransformers. It combines these vectors and ranks similar books with cosine similarity and fuzzy title matching.
Match address data files together (CSV, XLSX, Parquet) using fuzzy matching (rapidfuzz) and an (optional) graphical user interface. Built for UK addresses. Best used in combination with the uk_address_matcher repo: https://github.com/moj-analytical-services/uk_address_matcher
✅ completed | Voices assistant for windows managing system applications
Automate job application tracking by parsing Gmail emails and logging them to Google Sheets by using Gmail API, Google Sheets API, OAuth 2.0, Gemini LLM and Python.
Resume analyzer that checks for ATS compatibility, highlights gaps, and recommends role-specific improvements.
Cross-platform desktop application for merging and deduplicating browser bookmarks with GUI and CLI support. Supports Netscape HTML and Chrome JSON formats with intelligent URL canonicalization and fuzzy title matching.
InvoSync is an AI-powered invoice and purchase order reconciliation system that uses Tesseract OCR and RapidFuzz to detect, extract, and compare data from scanned invoices and purchase orders.
Self-hosted NotebookLM alternative for Notion: Telegram bot answers questions over your workspace with citations.
The repository is a duplicate of the local folder which contains codes created by Yuanzhan Gao (yg8ch@virginia.edu) to conduct scaled fuzzy matching procedure on EIDL and PPP dataset. Please see the README file for more information.
A production-quality ETL pipeline that ingests candidate data from multiple heterogeneous sources (structured + unstructured), normalizes formats, merges duplicate candidates via entity resolution, scores confidence in each data point, and projects configurable output views — all driven by a runtime config with zero code changes.
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