Showing results for with list Vector Vector Vector
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.
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/chrieke/geojson-invalid-geometry
chrieke/geojson-invalid-geometry
🗺️ List of GeoJSON invalid geometry issues with example files
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/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/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/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/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/DrRuin/Personalized-Real-Estate-Agent
DrRuin/Personalized-Real-Estate-Agent
In an industry where personalization is key to customer satisfaction, your company wants to revolutionize how clients interact with real estate listings. The goal is to create a personalized experience for each buyer, making the property search process more engaging and tailored to individual preferences.
GitHub Repo
https://github.com/llpk79/Job-finder