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
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Updated
May 10, 2024 - Python
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
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
Unleash your audio muse: AI-powered music recommendations with Spotify and Streamlit. Discover new favorites based on what you love.
🔥 A music recommendation system that generates Spotify music playlist based on your mood and preferences 🦄
HCI Leiden University Group 7Project Prototype
A Python application that detects user emotions via AI and recommends personalized songs based on emotional state.
Music recommendation system for providing a group of people with fresh music that fits all.
A Music Recommondation System using python and flet framework.
Flask web app for recommending music based on your facial expressions using FER 2013 dataset and Spotify api
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.
this app is going to be a cool web service that suggest similar music based on favorited music features
Web app for custom Spotify playlists based on track audio properties such as danceability, energy, tempo & your personal Spotify listening analysis
View recent highly-rated albums in the terminal
generate spotify playlists using last.fm from cli
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)
Modeling track similarity using skip-grams.
Implementation of music genre classification, audio-to-vec, song recommender, and music search in mxnet
Kakao Arena - Melon Playlist Continuation solution (2nd place)
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