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GitHub Open Source Repositories

Search: music_recommendation

Page 3

Showing 10 results from 126

C

SylCard/Content-based-Music-Recommendation

GitHub Python Apache License 2.0

Project seeking to bridge the semantic gap between music and predicting similar songs

★ 57 Forks 20 SylCard Updated 01 Sep 2025
S

deezer/semi_perso_user_cold_start

GitHub Python

Source code from the KDD 2021 article "A Semi-Personalized System for User Cold Start Recommendation on Music Streaming Apps" by L. Briand, G. Salha-Galvan, W. Bendada, M. Morlon and V.A. Tran

★ 51 Forks 10 deezer Updated 15 Mar 2026
M

Sarathisme/music-recommendation-system

GitHub Jupyter Notebook

A simple Music Recommendation System

★ 48 Forks 26 Sarathisme Updated 03 Oct 2025
W

VasiliyRubtsov/wsdm_music_recommendations

GitHub Jupyter Notebook

No description available from source.

★ 48 Forks 24 VasiliyRubtsov Updated 22 Sep 2025
S

AmolMavuduru/SpotifyRecommenderSystem

GitHub Jupyter Notebook

Building a music recommendation using Spotify's data.

★ 48 Forks 22 AmolMavuduru Updated 02 Nov 2025
S

ajhalthor/spotify-recommender

GitHub Jupyter Notebook MIT License

A music recommendation system

★ 46 Forks 13 ajhalthor Updated 04 Aug 2025
A

mvkro1/AI-Music-Recommendation-App

GitHub

A music app that recommends songs based on user preferences using AI.

★ 41 Forks 0 mvkro1 Updated 05 May 2026
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jiejie1993/music_recommendation_2018

GitHub Python

1.解析爬取到的Json歌单数据,并进行数据预处理。 2.基于Surprise推荐系统库,采用KNNBaseLine实现基于用户 的协同过滤歌曲推荐。3.借鉴Word2Vec算法思想进行Song2Vec处理,实现基于物品的协同过滤歌曲推荐。 4.采用 TensorFlow实现基于LFM的歌曲推荐。

★ 39 Forks 21 jiejie1993 Updated 13 Mar 2025
M

beckernick/music_recommender

GitHub Jupyter Notebook

Music Recommendations with Collaborative Filtering and Cosine Distance

★ 39 Forks 13 beckernick Updated 29 Apr 2025
C

spotify-research/cosernn

GitHub Python Apache License 2.0

Code for the paper "Contextual and Sequential User Embeddings for Large-Scale Music Recommendation".

★ 39 Forks 11 spotify-research Updated 13 May 2026
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Showing first 126 accessible GitHub results.