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https://github.com/salu133445/ismir2019tutorial

Website for tutorial "Generating Music with GANs: An Overview and Case Studies"
https://github.com/salu133445/ismir2019tutorial

gan generative-adversarial-network machine-learning music music-generation pytorch

Last synced: 19 days ago
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Website for tutorial "Generating Music with GANs: An Overview and Case Studies"

Host: GitHub
URL: https://github.com/salu133445/ismir2019tutorial
Owner: salu133445
License: mit
Created: 2019-09-30T11:19:48.000Z (about 5 years ago)
Default Branch: main
Last Pushed: 2021-03-13T15:54:34.000Z (over 3 years ago)
Last Synced: 2024-10-03T19:25:51.110Z (about 1 month ago)
Topics: gan, generative-adversarial-network, machine-learning, music, music-generation, pytorch
Language: Jupyter Notebook
Homepage: https://salu133445.github.io/ismir2019tutorial/
Size: 6.98 MB
Stars: 77
Watchers: 5
Forks: 14
Open Issues: 4
Metadata Files:
- Readme: README.md
- License: LICENSE

Awesome Lists containing this project

README

        # Generating Music with GANs - ISMIR 2019 Tutorial

## Slides

- [ismir2019-tutorial-slides.pdf](pdf/ismir2019-tutorial-slides.pdf)

## Notebooks

- GAN for images (MNIST Database): `gan.ipynb` [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/salu133445/ismir2019tutorial/blob/main/gan.ipynb)

- GAN for piano rolls (Lakh Pianoroll Dataset): `musegan.ipynb` [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/salu133445/ismir2019tutorial/blob/main/musegan.ipynb)

## Related projects

- [MuseGAN](https://salu133445.github.io/musegan/)

- [LeadSheetGAN](https://liuhaumin.github.io/LeadsheetArrangement/)

## Resources

- [Pypianoroll](https://salu133445.github.io/pypianoroll/): a Python package for handling multitrack pianorolls

- [Lakh Pianoroll Dataset](https://salu133445.github.io/lakh-pianoroll-dataset/) (LPD): a collection of 174,154 multitrack pianorolls derived from the [Lakh MIDI Dataset](https://colinraffel.com/projects/lmd/) (LMD)