OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
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Updated
May 16, 2024 - C++
OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
Best Practices on Recommendation Systems
Pytorch domain library for recommendation systems
The Mares Recommender System is a tool designed for personalizing movie recommendations. It integrates a multidimensional analytical approach to cater to individual viewer preferences.
An anime recommender system based off of MyAnimeList user reviews
Develop a personalized recommendation system using a Knowledge Graph to model relationships between users, products, and interactions. Utilizing Python, Neo4j, Cypher, and Py2neo, this project aims to enhance user satisfaction through efficient data management and advanced recommendation algorithms.
An AI-powered application that makes personalized place suggestions.
This project developed two wine recommendation models using the XWines dataset, employing collaborative filtering and content-based techniques. It leveraged Python, Numpy, Pandas, Jupyter Notebook, VSCode, and Scikit-learn.
🎧 A music recommendation system
🎵 Computer Science Final Year Project
Group Project for Data Science for Business Project (SMU Master of IT in Business)
USC DSCI 553 - Foundations & Applications of Data Mining - Spring 2024 - Prof. Wei-Min Shen
A modern anime recommendation website and engine built with React and Django REST API. Featuring over 2000 anime titles and tailored suggestions
A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.
RecTools - library to build Recommendation Systems easier and faster than ever before
Bemore is a web application that helps you to keep up with the latest research in your field.
Chat-based music recommendation tool
A minimal LLM sales agent framework for sales agent fast deployment and benchmark. Support OpenAI models, Claude, HuggingFace models, Gemini, Ernie(文心一言4.0), Baichuan(百川), Qwen(通义千问), Moonshot(月之暗面), GLM(智谱), Deepseek. AI销售智能体微型框架.
Interactive Book Recommendation System using RAG and RecSys
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