An android application that allow the user to log in (and access to all his data), and connect to external distributors, in order to get the coffee generated by a Machine Learning algorithm

OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference

This is a movie recommendation website which provides you recommendations based on collaborative and content based filtering

This repository offers a comprehensive suite of models for building a robust movie recommendation system. It explores various recommendation techniques including collaborative filtering, content-based filtering, and matrix factorization. Each approach is designed to enhance the user experience by providing personalized movie suggestions. Detailed d

USC DSCI 553 - Foundations & Applications of Data Mining - Spring 2024 - Prof. Wei-Min Shen

Best Practices on Recommendation Systems

Official Website of https://github.com/tamlhp/awesome-recsys-poisoning

SaaS app to extract and generate color themes.

Have you ever been in dilemma of what to have as your next meal? Foodee is a food recommendation system to help you with your problem.

sklearn for machine learning on graphs

This project develops a Yelp-based restaurant rating prediction algorithm using NLP to analyze review texts and generate a weighted unified rating. It then employs methods like SVD, ALS, SGD, and Random Forest to recommend restaurants based on these ratings.

Pytorch domain library for recommendation systems

🛍 A real-world e-commerce dataset for session-based recommender systems research.

2024-1 Machine Learning-based Data Analysis Final Team Project | 여행지 분위기 기반 향수 추천 시스템: Don't PERget Me

A Data Analysis and Recommendation system project on Netflix Movies and TV Series dataset with Python

Filter your current RSS feeds with AI customized recommendations.

NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature engineering and preprocessing to training deep learning models and running inference in production.

An AI-powered application that makes personalized place suggestions. Supported by TÜBİTAK.

A project that retrieves daily information from arXiv and recommends papers tailored to the user's preferences using Slack and Notion as the UI.