jordipons

musicnn

Pronounced as "musician", musicnn is a set of pre-trained deep convolutional neural networks for music audio tagging.

music-audio-tagging-at-scale-models

Tensorflow implementation of the models used in "End-to-end learning for music audio tagging at scale"

sklearn-audio-transfer-learning

A didactic toolkit to rapidly prototype audio classifiers with pre-trained Tensorflow models and Scikit-learn

neural-classifiers-with-few-audio

Training neural audio classifiers with few data − https://arxiv.org/abs/1810.10274

musicnn-training

Tensorflow code for training deep convolutional neural networks for music audio tagging

DRNN4ASS

Deep Recurrent Neural Network for Audio Source Separation

source-separation-wavenet

A neural network for end-to-end music source separation

EUSIPCO2017

Music auto-tagging experiments for the paper entitled "Timbre Analysis of Music Audio Signals with Convolutional Neural Networks".

elmarc

Repository containg experiments with Extreme Learning Machines And Reservoir Computing, ELMARC.

AudioSetOntologyTree

Tree visualization of the AudioSet Ontology - https://github.com/audioset/ontology

CBMI2016

Experimenting with musically motivated convolutional neural networks

ICASSP2017

Designing efficient architectures for modeling temporal features with convolutional neural networks

ChordProfiles

A Matlab function that provides a SIMPLE framework where ALL the binary chord profiles are properly defined.

MT5

HTML5 player

ontology

The Audio Set Ontology aims to provide a comprehensive set of categories to describe sound events.

segan

Speech Enhancement Generative Adversarial Network in TensorFlow

hat

Overcoming catastrophic forgetting with hard attention to the task

math-as-code

a cheat-sheet for mathematical notation in code form

mdx-submissions21

Music Demixing Challenge Submission Repo

PodcastMix-inference

sampleproject

A sample project that exists for PyPUG's "Tutorial on Packaging and Distributing Projects"