Music recommendation using neural network
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Updated
Mar 28, 2022 - Jupyter Notebook
Music recommendation using neural network
This repository contains a bunch of small tools which I wrote as a part of my Master's Thesis.
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.
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.
☞ This sure does.
Attempted to classify music into separate genres using the FMA dataset. (Nueva Quest 2019)
Application de classification par apprentissage profond pour mon projet d'intégration au Collège de Bois-de-Boulogne à la session d'hiver 2020
This repository contains the code for some models that classify music files into their specific genres
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)
Capstone Project
Classify audio into genres
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
Data pipeline and training pipeline for 🎵 music genre classification from FMA dataset
A simple Music Recommendation System
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