Official PyTorch implementation of Contrastive Learning of Musical Representations

Music genre classification model using CRNN

A Fine-Grained House Music Dataset

Musical genre recognition using a CNN

Lyra - A Dataset for Greek Traditional and Folk Music

PyTorch implementation of cross-cultural music transfer learning

Using machine learning for the study of music.

A convolutional neural network trained to classify emotions in singing voices.

A music genre classifier built with Tensorflow and deployed as a web app with Heroku and Flask

Dockerized benchmark model & API for classifying music by genre based on TensorFlow and Essentia

Automatic music tagging using foundation models

A two-class music genre classfier based on CNN (Convolutional Neural Network)

Official implementation of accepted IEEE TASLP paper "Learnable Counterfactual Attention for Music Classification".

A pet project on music genre classification. Assigning the correct genre to the provided audio track.

Klasifikasi Musik Berdasarkan Genre Menggunakan Metode Naive Bayes.

Implementation of "LC-Protonets" method for multi-label few-shot learning

Classifies songs into genres. For ECSE-526: Artificial Intelligence at McGill University.

Welcome to the TPM (Text, Pipelines, and Models) Classifier project! This exciting endeavor focuses on constructing a robust music genre classification system

🎵 Music Genre Classification using Machine Learning 🚀 A Python project that leverages machine learning algorithms to classify music tracks into genres based on audio features. Explore KNN, SVM, Decision Trees, and more. Checkout the plotted graphs for model comparison!

Penerapan metode Random Forest dalam klasifikasi Genre Musik menggunakan ekstraksi fitur MFCC.