music-recommendation-system
There are 7 repositories under music-recommendation-system topic.
ugis22 / music_recommender
Implement a content-based and collaborative filtering recommendation systems for song recommendations.
Language:Jupyter Notebook 159- DAMG7245-Final-Project
kshitijzutshi / DAMG7245-Final-Project
Content based Music Recommendation System
Language:Jupyter Notebook 47 radioactive11 / rezonance
Content Based Music Recommendation Service
Language:Jupyter Notebook 35slxmmy999 / Music-Recommendation-GPT
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.
Language:Python 13liuyishengalan / Music-Mood-Lifter-ML
The Music Mood Lifter is a software system empowered by machine learning algorithms that can detect facial expressions from input faces.
Language:Jupyter Notebook 12raviprakash11 / MusicRecommendationSystem
Intelligence Where You'll Get Your Next Music. Industrial Training Project 2019. under the guidance of Ardent Computech Pvt. Ltd.
Language:Jupyter Notebook 12AnitaSoroush / MusicRecommendationSystem
This Project is a music recommender based on the spotify's music database
Language:Python 10rollingstorms / Sound-Content-Music-Recommendation-System
A Music Recommendation System Based on Sound Content
Language:Jupyter Notebook 10gabriel-ballesteros / spotify-recommender
Music recommender using Flask, PostgreSQL and the Spotify API
Language:HTML 8xKristee29 / Utilify
A simple music recommendation app that uses Flet for UI and an API using the Spotify Web API
Language:Jupyter Notebook 6huzaifakhan04 / music-recommendation-web-application-based-on-rhythmic-similarity-using-locality-sensitive-hashing
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.
Language:Jupyter Notebook 5NebulaTris / vibescape
Emotion based music recommender system
Language:Python 5asaldelkhosh / Music-Recommender
Implementing a music recommender with decision tree.
Language:Jupyter Notebook 4davide-chiuchiu / Music_recommendation_engine_with_tensorflow
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.
Language:Jupyter Notebook 4Justin0122 / vibify
a Node.js API that interacts with the Spotify API to fetch user data, currently playing track, top tracks, and other Spotify functionalities.
Language:JavaScript 4Rahulpatil512 / 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)
Language:Python 4behnamy2010 / Music-recommender-system
Music recommender system radio javan
Language:Jupyter Notebook 3chiragrathi24 / Music-Genre-Prediction
🎵 Music Recommender System using the Decision Tree Classifier
Language:Jupyter Notebook 3longtng / Music-Recommendation-System-Practice
The laboratory from Algorithmic Machine Learning Course at EURECOM
Language:HTML 3Morgscode / Findmynextfavoritesong-website
A website that lets you interact with the Spotify recommendations API. Sample new music in over 100 genres based on your current top tracks, their musical attributes, your own personal taste and mood. Add new tracks you might like to your Spotify liked songs playlist.
Language:TypeScript 3- Language:Jupyter Notebook 3
agrawal-rahul / shatatantri
Client side Youtube music personalization
bhumika-1127 / 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.
Language:Jupyter Notebook 2d-elicio / Music-Recommender-System-from-scratch
Design and implementation from scratch of different models for a musical recommendation system
Language:Jupyter Notebook 2shib1111111 / SereneSounds
SereneSounds is a sophisticated music curation web app that leverages various recommendation techniques to provide users with diverse and personalized music suggestions.
Language:Jupyter Notebook 2VineetSnegi / Python_Music_Recommender
This project creates Music Recommendation Engine in Python using Spotify API and Machine Learning.
Language:Jupyter Notebook 2Zeeshan283 / emotion-based-music-recommendation
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.
Language:HTML 2Eva-Kaushik / EMKGCN-MultiModal-Music-Recommender
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.
Language:Jupyter Notebook 1jnopareboateng / Lhydra_rs
Journey detailing Lhydra Hybrid Music Recommender System
Language:Jupyter Notebook 1A curated list of projects leveraging multiple approaches to Data Science, Machine Learning and Deep Learning.
Language:Jupyter Notebook 1Client-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.
Language:JavaScript 1- Language:Jupyter Notebook 1
preranababar9 / music-recommendation-system
A Music Recommondation System using python and flet framework.
Language:Python 1reidya3 / MusicArtistRecommendationSystem
Explore various recommendation systems for music artist recommendation based on the Last.fm dataset.
Language:Jupyter Notebook 1shreel143 / Drowsiness-Detection-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).
Language:Python 1- Language:Python 1
