Music genre classification with LSTM Recurrent Neural Nets in Keras & PyTorch

Automated music genre classification using machine learning

Using deep learning to predict the genre of a song.

Genre Classification using Convolutional Neural Networks

🎵 Trained CNN model for Genre classification on GTZAN dataset [CNN Model: https://github.com/Hguimaraes/gtzan.keras]

Content-based Music Genre Classification

to classify music into different genres

Clasifying music into 8 Genres

Classify audio into genres

Music genre classification done in two different ways. 1. Traditional ML and 2. Temporal feature integration/ Fusion of decisions.

This project aims to classify music genres. CNN architecture and GTZAN dataset were used for model training. Finally, a Web Application was made with Flask.

Machine learning approach to classify music genre on GTZAN dataset using CNN + LSTM

Music genre classification using CNN

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

Original Keras implementation of the code for the paper "Client-driven animated GIF generation framework using an acoustic feature," at 1171: Real-time 2D/3D Image Processing with Deep Learning (MTAP)

A Multi-Label Music Genre Classifier

This is a small project to classify the GTZAN dataset by applying multiple algorithms for training the models.

Music Genre Classification using Neural Networks on GTZAN Dataset

Using the GTZAN dataset to create a classifier that can classify what the music genre is playing!