🎵 Your favorite LoFi Music Player🎧
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Updated
Jun 14, 2024 - JavaScript
🎵 Your favorite LoFi Music Player🎧
Downloads songs and playlists from Youtube as MP3s and deduces their artist, name...
Apple shortcut that converts texts into an Apple Music playlist! Can be also used to import for FREE your Spotify playlists.
Command line music queue manager. A music player from the comfort of your own shell.
Tool to easily download single songs, or whole playlists from Spotify, Youtube, or custom lists. (Youtube Downloader)
BREATHE THE MUSIC | Your Best Music Player Experience Ever...! | Turning Up the Volume on Fun, Your Ultimate Music Playground! 🎶🎶
A music player being made out of various audio libraries
A system for generating music playlists based on the results of audio content analysis. The MusAV dataset is used as a music audio collection, music descriptors are extracted using Essentia, and a simple user interface is used to generate playlists based on these descriptors.
Nakisa is a Telegram bot that builds structured music communities around playlists.
In this Python Project, my aim is to develop a “Music Playlist Generator” rather than manager. Spotify does a great job at providing us with many (and always fresh) playlists, to the point that it is basically 100% guaranteed that it satisfies us on any occasion. But, sometimes it is also lots of fun to generate our own playlists, according to w…
Generation of music playlists based on audio features analysis using Essentia and the MusAV dataset
music playlist using javascript and indexdb
A music player that plays my favorite songs.
Transfer your YouTube liked videos to Spotify! Automatically converts your YouTube music collection to Spotify liked songs or custom playlists with smart song detection and batch processing.
🎵 [Experimental] Generate your next playlist by keywords and your own musical taste.
Es un mini spotify, con un sistema de usuarios,contraselas,radio,playlists y queue
A simple and minimal static page music player.
App web de recomendación de playlists basada en emociones del usuario. Desarrollada con Flask y Machine Learning.
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