keunwoochoi / Dl4mir
Deep learning for MIR
Stars: ✭ 190
Projects that are alternatives of or similar to Dl4mir
Whotracks.me
Data from the largest and longest measurement of online tracking.
Stars: ✭ 189 (-0.53%)
Mutual labels: jupyter-notebook
Seldon Core
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
Stars: ✭ 2,815 (+1381.58%)
Mutual labels: jupyter-notebook
Carputer
Toy car that drives itself using neural networks
Stars: ✭ 188 (-1.05%)
Mutual labels: jupyter-notebook
Nbinteract
Create interactive webpages from Jupyter Notebooks
Stars: ✭ 189 (-0.53%)
Mutual labels: jupyter-notebook
Ipypublish
A workflow for creating and editing publication ready scientific reports and presentations, from one or more Jupyter Notebooks, without leaving the browser!
Stars: ✭ 188 (-1.05%)
Mutual labels: jupyter-notebook
Juniper
🍇 Edit and execute code snippets in the browser using Jupyter kernels
Stars: ✭ 189 (-0.53%)
Mutual labels: jupyter-notebook
Beginners Pytorch Deep Learning
Repository for scripts and notebooks from the book: Programming PyTorch for Deep Learning
Stars: ✭ 190 (+0%)
Mutual labels: jupyter-notebook
Clustergrammer
An interactive heatmap visualization built using D3.js
Stars: ✭ 188 (-1.05%)
Mutual labels: jupyter-notebook
Tensorflow2.0 Notes
Tensorflow 2.0 Notes 提供了TF2.0案例实战以及TF2.0基础实战,目标是帮助那些希望和使用Tensorflow 2.0进行深度学习开发和研究的朋友快速入门,其中包含的Tensorflow 2.0教程基本通过测试保证可以成功运行(有问题的可以提issue,笔记网站正在建设中)。
Stars: ✭ 187 (-1.58%)
Mutual labels: jupyter-notebook
Germanwordembeddings
Toolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets
Stars: ✭ 189 (-0.53%)
Mutual labels: jupyter-notebook
Awesome Jupyter
A curated list of awesome Jupyter projects, libraries and resources
Stars: ✭ 2,523 (+1227.89%)
Mutual labels: jupyter-notebook
Thinkdsp
Think DSP: Digital Signal Processing in Python, by Allen B. Downey.
Stars: ✭ 2,485 (+1207.89%)
Mutual labels: jupyter-notebook
Notebooks
Jupyter Notebooks with Deep Learning Tutorials
Stars: ✭ 188 (-1.05%)
Mutual labels: jupyter-notebook
Practical Time Series Analysis
Practical Time-Series Analysis, published by Packt
Stars: ✭ 188 (-1.05%)
Mutual labels: jupyter-notebook
Deep Learning With Tensorflow 2 And Keras
Deep Learning with TensorFlow 2 and Keras, published by Packt
Stars: ✭ 190 (+0%)
Mutual labels: jupyter-notebook
dl4mir: A Tutorial on Deep Learning for MIR
by Keunwoo Choi ([email protected])
This is a repo for my tutorial paper; A Tutorial on Deep Learning for Music Information Retrieval.
Tutorials
- Example 1: Pitch detector with a dense layer
- Example 2: Chord recogniser with a convnet
- Example 3: Setup
config.json
- Example 4: download and preprocess
- Real examples with real datasets! * Example 5-1: Time-varying classification example using Jamendo dataset * Example 5-2: Time-invariant classification example using FMA dataset
Prerequisites
$ pip install -r requirements.txt
$ git clone https://github.com/keunwoochoi/kapre.git
$ cd kapre
$ python setup.py install
to install
- Librosa, Keras, Numpy, Matplotlib, Future
- kapre
Notes
-
Datasets
is removed fromKapre
and the codes are directly imported into here.
Datasets
Dataset management
- GTZan: (30s, 10 genres, 1,000 mp3)
- MagnaTagATune: (29s, 188 tags, 25,880 mp3) for tagging and triplet similarity
- MusicNet: (full length 330 classicals music, note-wise annotations)
- FMA: small/medium/large/full collections, up to 100+K songs from free music archieve, for genre classification. With genre hierarchy, pre-computed features, splits, etc.
- Jamendo: 61/16/24 songs for vocal activity detection
Some links
- Repo
- DL_MIR_TUTORIAL: Another DL for MIR tutorial repo by Thomas Lidy
- Awesome deep learning music: A long list of deep learning x music papers + etc.
- Slides
- Deep Neural Networks in MIR: A tutorial focusing on feature learning, beat/rhythm analysis, structure analysis. Also a nice literature overview including publications by year, conference, task, network types, input representations, frame work, etc. By Meinard Muller et al.
- DL in music informatics: ISMIR 2014 tutorial.
- Documents, books
- Deep learning book: The first deep learning textbook. by Ian Goodfellow and Yoshua Bengio and Aaron Courville.
- Online
- cs213n: Perhaps the best lecture on convnets. From Stanford university.
- librosa tutorial: If you're interested in learning a bit more of MIR and its implementations.
- MIRDL: state-of-the-art: A wikipedia on MIR and DL by Jordi Pons.
- MIR datasets: An awesome list of MIR datasets
- /r/musicir: A subreddit for MIR
Cite?
@article{choi2017tutorial,
title={A Tutorial on Deep Learning for Music Information Retrieval},
author={Choi, Keunwoo and Fazekas, Gy{\"o}rgy and Cho, Kyunghyun and Sandler, Mark},
journal={arXiv:1709.04396},
year={2017}
}
Or visit the paper page on Google scholar for potential updates.
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].