awesome-deep-learning-music

167 papers referenced. See the details in . There are more papers from 2017 than any other years combined. Number of articles per year:

If you are applying DL to music, there are in your field

34 tasks investigated. See the list of . Tasks pie chart:

55 datasets used. See the list of . Datasets pie chart:

30 architectures used. See the list of . Architectures pie chart:

9 frameworks used. See the list of . Frameworks pie chart:

Only 47 articles (28%) provide their source code. Repeatability is the key to good science, so check out the

( ) - Instigator and principal maintainer

Vincent Lostanlen ( )

( )

( )

( )

( )

Mirza Zulfan ( ) for the logo

DL4MIR tutorial with keras

Tutorial for Deep Learning on Music Information Retrieval by

Ron Weiss (Google) Talk on Training neural network acoustic models on waveforms

A personal (re)view of the state-of-the-art by

DL4MIR tutorial

Python tutorials for learning to solve MIR tasks with DL

Awesome Python Scientific Audio

Python resources for Audio and Machine Learning

Community maintained list

Daily dose of general MIR

Awesome Python

Audio section of Python resources

Awesome Web Audio

WebAudio packages and resources

Awesome Music

Music softwares

Awesome Music Production

Music creation

6 deep learning tools for music generation

Deep Learning in Music group

Link to subscribe to the MIR community's Slack

's list of various links on DL, MIR,

Unmaintained list of DL articles for MIR from

Learning to Recognize Musical Genre on the dataset

Music generation with DL

List of resources on music generation with deep learning

Book about the perceptual organization of sound by , the "father of "

Audio demonstrations, which illustrate examples of auditory perceptual organization

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Model Convertors

Convertors for DL frameworks and backend

Deep architecture genealogy

Genealogy of DL architectures

Slides from Jan Schlüter

Awesome Deep Learning

General deep learning resources

Awesome Deep Learning Resources

Papers regarding deep learning and deep reinforcement learning

Awesome RNNs

RNNs code, theory and applications

Cheatsheets AI

Cheat Sheets for Keras, neural networks, scikit-learn,

DL PaperNotes

Summaries and notes on general deep learning research papers

sindresorhus/awesome

General lists

Best practices for using neural networks by

Stanford Course

How to improve RNNs?

How Does Attention Work in Encoder-Decoder Recurrent Neural Networks

Misc fun around DL

ML from scratch

Python implementations of ML models and algorithms from scratch from Data Mining to DL

Presentation describing the different existing frameworks for DL

Article describing the differences between ELU and ReLU

Book about reinforcement learning

Blog post on the learning rate optimisation

GitHub repo for sklearn add-on for imbalanced learning

ML in uneven datasets

Deep Learning: Practice and Trends (NIPS 2017 Tutorial, parts I & II)

Actually comparing DL algorithms

DL frameworks comparison and evolution

There are other optimization algorithms than just gradient descent

Readme checklist

To build an universal Readme

To clean the python code

To manage python structure

To plot nice figures

Bibtexparser

To deal with the bib entries