Recommending Music using a Convolutional Neural Network.
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Updated
May 4, 2019 - Python
Recommending Music using a Convolutional Neural Network.
Flask web app for recommending music based on your facial expressions using FER 2013 dataset and Spotify api
A python library for music recommendation
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.
Google Home assistant for music recommendations, built with Python & Flask. Using Google Home and API.ai
Design, implement and test the effects of a music recommendation system that utilize user emotional data and music preference to recommend songs complimentary to their affect.
Code to reproduce paper "Exploring Longitudinal Effects of Session-based Recommendations" in RecSys 2020
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.
📡 Backend Service of SUSTcast [Online Radio Station]
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.
Sequential skip prediction using deep learning and ensembles
create your own spotify recommendation algorithm 🎧
Building the top 10 music recommendation system
Music recommendation system based on personality. Explore your inside symphony! 👨🎤
Music recommender deployed on heroku
generate spotify playlists using last.fm from cli
Graph-based music recommendation engine using NetworkX & Spotify data
Music recommender system with collaborative and content-based filtering
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