📊 A task-based visualization recommendation app, aiming to be the Grammarly for stories written with charts. Built with draco and vega-lite.

lightweight contextual bandit library for ts/js

Who doesn't appreciate good music 🤪 Musix-App is a platform where you can browse nonstop tunes around the world 😍 The platform is very easy to use for people from all walks of life and of any age. They can search music by album/ by artist or by country. 🥳 💝 Login/registration is required only if they want to see recommendations or add songs to f…

🎧 A music recommendation system

🍿 Generating film recommendations with large language models

BeatBrain: Music Recommendations Powered by Imagination

This Netflix Recommendation System is a web application developed using Node.js and Express. It utilizes a recommendation engine written in Python

chatLib 🙌 睿心图书管理系统-LLM辅助检索的图书管理系统❤️ 有需要的同学可作为厕所读物学习😘

NextBest is an AI powered recommendation system. It can recommend movies, series and books based on your past interests. You also get a personality analysis based on your choices.

Coderecs is a competitive programming platform, which recommend the users to solve the next cp questions, based on their previous performance, in the contests.

Recomm.js is a javascript library used to build recommendation systems, using Content-Based Filtering System.

(WIP) Using Machine Learning in Web Application for recommeding songs based on user's activities.

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A fully featured platform that detect clothing size and continuously recommends clothing tailored to the user's liking

An end-to-end content-based TMDB movie recommendation engine developed using PySpark, Flask, and Angular.

A naive recommendation system for nostr, based on zero-shot classifier.

Music Recommender App using Angular2 similar to Spotify which parses through music metadata to figure out user preferences for a particular song.

Recommends beverages based on age, gender, emotion, weather, and some other parameters.

Audiozprávy jsou projekt Česko.Digital a Nadačního fondu nezávislé žurnalistiky, který má za cíl doručit skrze mobilní aplikaci s rekomendačním enginem žurnalistiku v krátkém formátu a v lehčeji konzumovatelné audio podobě. Pokud máte zájem aplikaci použít neváhejte nás kontakt pro support na jakub.bares@cesko.digital

Information retrieval web application of MOOCs (mass open online courses) for IT specialties