A python library for music recommendation
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Updated
Aug 14, 2021 - Python
A python library for music recommendation
Flask web app for recommending music based on your facial expressions using FER 2013 dataset and Spotify api
Recommending Music using a Convolutional Neural Network.
2018 Spotify ACM RecSys Challenge 2'nd Place Solution
Implementation of music genre classification, audio-to-vec, song recommender, and music search in mxnet
KKBox's Music Recommendation Challenge on Kaggle.
create your own spotify recommendation algorithm 🎧
Google Home assistant for music recommendations, built with Python & Flask. Using Google Home and API.ai
Code to reproduce paper "Exploring Longitudinal Effects of Session-based Recommendations" in RecSys 2020
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.
Kakao Arena - Melon Playlist Continuation solution (2nd place)
View recent highly-rated albums in the terminal
Modeling track similarity using skip-grams.
Web app for custom Spotify playlists based on track audio properties such as danceability, energy, tempo & your personal Spotify listening analysis
Python client for the Spotify Recommendations API.
Music recommendation system based on personality. Explore your inside symphony! 👨🎤
This is Content based music recommendation system. I have used both audio features and lyrics (text based) features for recommending most similar songs to a given query song.
A Python application that detects user emotions via AI and recommends personalized songs based on emotional state.
musical snobbery, with a touch of machine learning
generate spotify playlists using last.fm from cli
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