cyberquill/Riyaaz
A content-based music recommendation system, that suggests playlists made from the locally stored songs, and updates its suggestions based on the user feedback using non-stationary Bayesian reinforcement learning. Created using React and the Electron.js framework.
No commits in the last 6 months.
Stars
4
Forks
2
Language
Jupyter Notebook
License
—
Category
Last pushed
Oct 05, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/cyberquill/Riyaaz"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
ucalyptus/Spotify-Recommendation-Engine
Music Recommender System
ronibandini/reggaetonBeGone
Detects reggaeton genre with Machine Learning and sends packets to disable BT speakers (hopefully)
pooranjoyb/BeatBridge
A Music Player with a Clustering based Recommendation Engine utilizing Spotify API
maurocastermans/now-playing
Raspberry Pi application that detects music with ML, identifies it using Shazam, and shows the...
mattmurray/music_recommender
Music recommender using deep learning with Keras and TensorFlow