This repository contains a bunch of small tools which I wrote as a part of my Master's Thesis.
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Updated
Nov 19, 2021 - Python
This repository contains a bunch of small tools which I wrote as a part of my Master's Thesis.
Capstone Project
Music Genre Classification with Convolutional Recurrent Neural Networks: An Analysis on the FMA Dataset.
Attempted to classify music into separate genres using the FMA dataset. (Nueva Quest 2019)
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.
Using CNN, RNN and CRNN to classify music by genre & to create recommendations.
An exploration of the FMA (Free Music Archive) dataset: classification, clustering, pattern mining, regression, explainability.
Music genre classification using mel-spectrogram and CNNs on the FMA dataset (small)
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
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 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
Classify audio into genres
A simple Music Recommendation System
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