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[[_TOC_]]
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[[_TOC_]]
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## Variational autoencoders
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## Generative Adversarial Networks (GANs)
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### Illustrative examples
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* [This person does not exist](https://thispersondoesnotexist.com/)
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*[Magenta Studio](https://magenta.tensorflow.org/)
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*[MuseNet: deep neural network that can generate 4-minute musical compositions](https://openai.com/blog/musenet/)
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### Example codes
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* [Generating 1D data with GANs](https://realpython.com/generative-adversarial-networks/)
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* [Human face: stylegan2 -- Official TensorFlow Implementation](https://github.com/NVlabs/stylegan2)
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* [DALL·E: Creating Images from Text](https://openai.com/blog/dall-e/)
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* [GAN Zoo:compiling all named GANs](https://github.com/hindupuravinash/the-gan-zoo)
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* [Keras LSTM Music Generator](https://github.com/jordan-bird/Keras-LSTM-Music-Generator)
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* [Generating Music with GANs:An Overview and Case Studies” at ISMIR 2019](https://salu133445.github.io/ismir2019tutorial/)
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* [MuseGAN is a project on music generation](https://github.com/salu133445/musegan)
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* [Music generation notebooks](https://magenta.tensorflow.org/demos/colab/)
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* []()
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* []()
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Colab notebooks:
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* [Making music with Magenta](https://colab.research.google.com/notebooks/magenta/hello_magenta/hello_magenta.ipynb)
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* [Music generation with LSTM in Keras]()
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## Additional resources
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## Additional resources
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*[Jukebox: A Generative Model for Music](https://cdn.openai.com/papers/jukebox.pdf) |