Topic: music-recommendation-system Goto Github
Some thing interesting about music-recommendation-system
Some thing interesting about music-recommendation-system
music-recommendation-system,
User: 00zahra000
music-recommendation-system,Music recommender system based on collaborative filtering using the ListenBrainz listens dataset.
User: absounds
music-recommendation-system,Client side Youtube music personalization
User: agrawal-rahul
music-recommendation-system,Code for project "Music recommendation system"
User: ameybhole
music-recommendation-system,This Project is a music recommender based on the spotify's music database
User: anitasoroush
music-recommendation-system,Implementing a music recommender with decision tree.
User: asaldelkhosh
music-recommendation-system,music recommender system radio javan
User: behnamy2010
music-recommendation-system,This is a simple song recommendation system which uses concepts of Machine Learning to provide personalized experience based on the past history of the user and user's choice preferences.
User: bhumika-1127
music-recommendation-system,🎵 Music Recommender System using the Decision Tree Classifier
User: chiragrathi24
music-recommendation-system,Design and implementation from scratch of different models for a musical recommendation system
User: d-elicio
music-recommendation-system,This project summarizes the basic steps required to implement a basic recommendation engines that suggests new bands to users. Data are fetched from the open dataset of ListenBrainz in Bigquery. The recommendation engine is built by hacking the keras embedding layers to perform matrix factorization.
User: davide-chiuchiu
music-recommendation-system,Personalised music recommendation system with seamless integration with Spotify.
User: dracoy-code
music-recommendation-system,The `MKGCN` class, coupled with the Spotify API, orchestrates a multi-modal knowledge graph convolutional network to enhance music recommendation systems by integrating user interaction data and diverse music modalities.
User: eva-kaushik
music-recommendation-system,Music recommender using Flask, PostgreSQL and the Spotify API
User: gabriel-ballesteros
Home Page: http://spotify-recommender.gabrielballesteros.com
music-recommendation-system,This repository contains a web application that integrates with a music recommendation system, which leverages a dataset of 3,415 audio files, each lasting thirty seconds, utilising a Locality-Sensitive Hashing (LSH) implementation to determine rhythmic similarity, as part of an assignment for the Fundamental of Big Data Analytics (DS2004) course.
User: huzaifakhan04
music-recommendation-system,Music player and recommender for Discord servers
User: iiacoban42
music-recommendation-system,Recommendation System website
User: jass228
music-recommendation-system,a Node.js API that interacts with the Spotify API to fetch user data, currently playing track, top tracks, and other Spotify functionalities.
User: justin0122
Home Page: https://vibify-docs.justinjongstra.nl/
music-recommendation-system,Client-side application for Vibify, a JavaScript-based Spotify API interaction tool. Features include fetching user's top tracks, creating playlists, getting audio features for a playlist, and a recommendation system.
User: justin0122
Home Page: https://vibify-docs.justinjongstra.nl/
music-recommendation-system,First react project. Created with Spotify API. All images are from: https://www.freepik.com/
User: karmatys8
Home Page: https://karmatys8.github.io/RECOMmusicENDATIONS/
music-recommendation-system,Content based Music Recommendation System
User: kshitijzutshi
music-recommendation-system,The Music Mood Lifter is a software system empowered by machine learning algorithms that can detect facial expressions from input faces.
User: liuyishengalan
music-recommendation-system,The laboratory from Algorithmic Machine Learning Course at EURECOM
User: longtng
music-recommendation-system,This repository implements pre-processing operations of the MELON PLAYLIST DATASET released by Ferraro et al.
User: merrafelice
music-recommendation-system,A website that lets you interact with the Spotify recommendations API. Discover and sample new music in over 100 genres based on your current most listened tracks, their musical attributes, your own personal taste and mood. Add new tracks you might like to your Spotify liked songs playlist.
User: morgscode
Home Page: https://findmynextfavoritesong.luke-morgan.com/
music-recommendation-system,Emotion based music recommender system
User: nebulatris
Home Page: https://vibescape.streamlit.app
music-recommendation-system,Natural Language Processing Chat Bot that can recommend the user songs depending on the user mood and favourite genres.
User: oscardelgado02
music-recommendation-system,A Music Recommondation System using python and flet framework.
User: preranababar9
music-recommendation-system,Content Based Music Recommendation Service
User: radioactive11
Home Page: https://rezonance.vercel.app
music-recommendation-system,An application that recommends music on the basis of previous heard songs of a user using a ML model. Using Collaborative-based filtering to recommend other songs similar to what the user likes. Download Data set from Kaggle (Million song data set)
User: rahulpatil512
music-recommendation-system,Intelligence Where You'll Get Your Next Music. Industrial Training Project 2019. under the guidance of Ardent Computech Pvt. Ltd.
User: raviprakash11
Home Page: https://raviprakash11.github.io/MusicRecommendationSystem/
music-recommendation-system,Explore various recommendation systems for music artist recommendation based on the Last.fm dataset.
User: reidya3
music-recommendation-system,A Music Recommendation System Based on Sound Content
User: rollingstorms
music-recommendation-system,This repository contains various deep learning projects implemented
User: say123ali
music-recommendation-system,SereneSounds is a sophisticated music curation web app that leverages various recommendation techniques to provide users with diverse and personalized music suggestions.
User: shib1111111
Home Page: https://serenesounds.streamlit.app/
music-recommendation-system,This repository contains the code and dataset used in the research paper "Driver's Companion: Drowsiness Detection and Emotion Based Music Recommendation System" published in the 2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS).
User: shreel143
music-recommendation-system,Building the top 10 music recommendation system
User: sithu-khant
Home Page: https://medium.com/artificialis/music-recommendation-system-with-scikit-learn-30f4d07c60b3
music-recommendation-system,The goal for this project is to create an LLM based music recommendation system. This project is currently in its very early stages, however the goal of this project is to create an extremely flexible music recommendation system using a chat focused LLM on the frontend to interact with a robust recommendation system on the backend.
User: slxmmy999
music-recommendation-system,
User: srushti-nikam
music-recommendation-system,
User: uditkatyal
Home Page: https://share.streamlit.io/uditkatyal/songfitt_/main/app.py
music-recommendation-system,Implement a content-based and collaborative filtering recommendation systems for song recommendations.
User: ugis22
music-recommendation-system,This project creates Music Recommendation Engine in Python using Spotify API and Machine Learning.
User: vineetsnegi
Home Page: https://music-recommendation-app.streamlit.app/
music-recommendation-system,Data Analytics
User: vksuvam
music-recommendation-system,The goal is to build a music recommendation system that can provide custom playlists for individual users based on collaborative and metadata filtering.
User: wendyminai
music-recommendation-system,A simple music recommendation app that uses Flet for UI and an API using the Spotify Web API
User: xkristee29
Home Page: https://utilify.fly.dev
music-recommendation-system,An emotion-based music recommendation system is a music recommendation system that uses machine learning algorithms to analyze the emotional content of songs and match them to the listener's emotional state in order to make personalized recommendations.
User: zeeshan283
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