# Generative Audio Music

[AudioGen: Textually Guided Audio Generation](https://felixkreuk.github.io/text2audio_arxiv_samples/)

## Music Generation

* [deepjazz: deep learning for jazz](https://deepjazz.io/) [jisungk/deepjazz: Deep learning driven jazz generation using Keras & Theano!](https://github.com/jisungk/deepjazz)
* [KarthikNayak/DeepRock: Rock Music using Deep Learning](https://github.com/KarthikNayak/DeepRock)
  * [Deeprock: LSTM based Rock Guitar Generator · Karthik Nayak](https://nayak.io/posts/deeprock/)
* [Skuldur/Classical-Piano-Composer](https://github.com/Skuldur/Classical-Piano-Composer)
* [salu133445/musegan: An AI for Music Generation](https://github.com/salu133445/musegan) [reddit](https://www.reddit.com/r/deeplearning/comments/b29578/deep_learning_music_music_generation_using_gan/)
* [Music Transformer: Generating Music with Long-Term Structure](https://magenta.tensorflow.org/music-transformer)
* [Generative Deep Learning for Virtuosic Classical Music: Generative Adversarial Networks as Renowned Composers : MachineLearning](https://www.reddit.com/r/MachineLearning/comments/kqoxo3/generative_deep_learning_for_virtuosic_classical/)
* [Real-time Performance RNN in the Browser](https://magenta.tensorflow.org/performance-rnn-browser)
* [GRUV: Algorithmic Music Generation using Recurrent Neural Networks - Aran Nayebi](https://sites.google.com/site/anayebihomepage/cs224dfinalproject)
  * [MattVitelli/GRUV: GRUV is a Python project for algorithmic music generation.](https://github.com/MattVitelli/GRUV)

## Generative Musics

* [Generative.fm - Play](https://play.generative.fm/browse)
* [Flowful - Boost productivity with customizable ambient music](https://www.flowful.app/)
* [Tero Parviainen](https://teropa.info/)
* [Streams - Musico](https://www.musi-co.com/listen/streams)


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://irosyadi.gitbook.io/irosyadi/digitalmedia/generative-audio.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
