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GitHub Repo https://github.com/AmirLayegh/airbnb-semantic-search

AmirLayegh/airbnb-semantic-search

A semantic search system for Airbnb listings in Stockholm, built with Superlinked and Qdrant. It leverages multi-attribute vector search and Retrieval-Augmented Generation (RAG) to enhance search accuracy, embedding different data types (e.g., price, description) with specialized models. Powered by FastAPI and Streamlit.
GitHub Repo https://github.com/sdcst-2025/sdcst-2025-2026-b204b-working-with-vectors-204-list-applications

sdcst-2025/sdcst-2025-2026-b204b-working-with-vectors-204-list-applications

sdcst-2025-2026-b204b-working-with-vectors-204-list-applications created by GitHub Classroom
GitHub Repo https://github.com/llpk79/Job-finder

llpk79/Job-finder

Scrape Indeed.com, vectorize job listings with Spacy and find job descriptions similar to resume with scikit-learn KNN.
GitHub Repo https://github.com/neuro-sys/forth-lib

neuro-sys/forth-lib

Collection of words to help with writing high level applications with Forth language.
GitHub Repo https://github.com/HuichuanLI/play_with_stl

HuichuanLI/play_with_stl

基于stl_pg版本实现自己的stl库:list,vector,deque,stack,BST,biset
GitHub Repo https://github.com/lukemerrett/Anki-Vector-Command-List

lukemerrett/Anki-Vector-Command-List

List of everything you can currently do with the Anki Vector robot
GitHub Repo https://github.com/chrieke/geojson-invalid-geometry

chrieke/geojson-invalid-geometry

🗺️ List of GeoJSON invalid geometry issues with example files
GitHub Repo https://github.com/binoydutt/Resume-Job-Description-Matching

binoydutt/Resume-Job-Description-Matching

The purpose of this project was to defeat the current Application Tracking System used by most of the organization to filter out resumes. In order to achieve this goal I had to come up with a universal score which can help the applicant understand the current status of the match. The following steps were undertaken for this project 1) Job Descriptions were collected from Glass Door Web Site using Selenium as other scrappers failed 2) PDF resume parsing using PDF Miner 3) Creating a vector representation of each Job Description - Used word2Vec to create the vector in 300-dimensional vector space with each document represented as a list of word vectors 4) Given each word its required weights to counter few Job Description specific words to be dealt with - Used TFIDF score to get the word weights. 5) Important skill related words were given higher weights and overall mean of each Job description was obtained using the product for word vector and its TFIDF scores 6) Cosine Similarity was used get the similarities of the Job Description and the Resume 7) Various Natural Language Processing Techniques were identified to suggest on the improvements in the resume that could help increase the match score
GitHub Repo https://github.com/vindwi/awesome-vector-search

vindwi/awesome-vector-search

A curated list of outstanding, actively maintained vector search frameworks and engines, libraries, cloud services, and research papers focused on vector similarity search, with inactive or unmaintained projects removed to ensure relevance and quality.
GitHub Repo https://github.com/BartoszKlonowski/ExtendedVector

BartoszKlonowski/ExtendedVector

C++17 version of std::vector, but much more extended and provided with all the features available in List<T> from .NET Framework.