This Dataset is a mix of LastFM Artists listened and a map with DBPedia Ontology (metadata). For each Artist there are a link to DBPedia ontology.
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Updated
Jun 13, 2020 - Python
This Dataset is a mix of LastFM Artists listened and a map with DBPedia Ontology (metadata). For each Artist there are a link to DBPedia ontology.
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)
this app is going to be a cool web service that suggest similar music based on favorited music features
HCI Leiden University Group 7Project Prototype
Code for Cascade-FT proposed in Multi-Task Learning Approaches to Leveraging Music Source Separation In Music Similarity Representation Learning Based On Individual Instrument Sounds
Music recommender system with collaborative and content-based filtering
This repository contains the work I've did during my masters.
This repository implements pre-processing operations of the MELON PLAYLIST DATASET released by Ferraro et al.
Code for Direct-Reconst proposed in Multi-Task Learning Approaches to Leveraging Music Source Separation In Music Similarity Representation Learning Based On Individual Instrument Sounds
Unleash your audio muse: AI-powered music recommendations with Spotify and Streamlit. Discover new favorites based on what you love.
A Music Recommondation System using python and flet framework.
Graph-based music recommendation engine using NetworkX & Spotify data
Collaborative filtering method using k-nearest neighbors algorithm for music recommendation
Music recommendation system for providing a group of people with fresh music that fits all.
A PyTorch implementation of Matrix Factorization and Factorization Machines
Music recommender deployed on heroku
A music recommendation system
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