Official PyTorch implementation of Contrastive Learning of Musical Representations
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Updated
Jul 25, 2024 - Python
Official PyTorch implementation of Contrastive Learning of Musical Representations
A TensorFlow+Keras implementation of "Sample-level CNN Architectures for Music Auto-tagging Using Raw Waveforms"
Music genre classification model using CRNN
Genre Classification using Convolutional Neural Networks
Musical genre recognition using a CNN
machine learning to classify music genre.
Using machine learning for the study of music.
Genre Detection of Bengali Rabindranath Tagore's Song Based On Audio Data.
A deep learning project for automated chorus detection in songs, featuring a command-line interface (CLI) tool that allows users to input a YouTube link and utilize a pre-trained CRNN model to detect chorus sections from a song on YouTube
Build neural network models for musical genre classification using pytorch
This repo consists the code for a content-based music classification system built using an ensemble of classifiers.
PyTorch implementation of cross-cultural music transfer learning
A Fine-Grained House Music Dataset
A two-class music genre classfier based on CNN (Convolutional Neural Network)
Lyra - A Dataset for Greek Traditional and Folk Music
Music classification, music search, music recommender and music encoder implemented in Tensorflow and Java
Audio Deep Learning Project in Java
Deep Learning Audio Processing in Spring
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