This repo consists the code for a content-based music classification system built using an ensemble of classifiers.
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Updated
Jun 16, 2018 - JavaScript
This repo consists the code for a content-based music classification system built using an ensemble of classifiers.
☞ This sure does.
Attempted to classify music into separate genres using the FMA dataset. (Nueva Quest 2019)
Capstone Project
This repository contains the code for some models that classify music files into their specific genres
A simple Music Recommendation System
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.
An exploration of the FMA (Free Music Archive) dataset: classification, clustering, pattern mining, regression, explainability.
This repository contains a bunch of small tools which I wrote as a part of my Master's Thesis.
Application de classification par apprentissage profond pour mon projet d'intégration au Collège de Bois-de-Boulogne à la session d'hiver 2020
Classify audio into genres
Music genre classification using mel-spectrogram and CNNs on the FMA dataset (small)
A simple Music Recommendation System.
Music recommendation using neural network
Data pipeline and training pipeline for 🎵 music genre classification from FMA dataset
Music Genre Classification with Convolutional Recurrent Neural Networks: An Analysis on the FMA Dataset.
Music Genre Classification with Convolutional Recurrent Neural Networks: An Analysis on the FMA Dataset.
Using CNN, RNN and CRNN to classify music by genre & to create recommendations.
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.
Genre Classification Model Based on VGGish
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