A simple Music Recommendation System

Data pipeline and training pipeline for 🎵 music genre classification from FMA dataset

Genre Classification Model Based on VGGish

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.

Using CNN, RNN and CRNN to classify music by genre & to create recommendations.

Classify audio into genres

Capstone Project

An exploration of the FMA (Free Music Archive) dataset: classification, clustering, pattern mining, regression, explainability.

Music Genre Classification with Convolutional Recurrent Neural Networks: An Analysis on the FMA Dataset.

Music genre classification using mel-spectrogram and CNNs on the FMA dataset (small)

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.

This project aims to clarify the role of meta data in music genre classification and how helpful or hurtful it can be to music recommendation systems. Much experimentation was done with multiple different machine learning models and results were analysed and collated into a single academic paper

This repository contains the code for some models that classify music files into their specific genres

Application de classification par apprentissage profond pour mon projet d'intégration au Collège de Bois-de-Boulogne à la session d'hiver 2020

Attempted to classify music into separate genres using the FMA dataset. (Nueva Quest 2019)

This repository contains a bunch of small tools which I wrote as a part of my Master's Thesis.

Music recommendation using neural network

Music Genre Classification with Convolutional Recurrent Neural Networks: An Analysis on the FMA Dataset.

This repo consists the code for a content-based music classification system built using an ensemble of classifiers.

☞ This sure does.