mimikit 0.1.6

Python module for generating audio with neural networks

mimikit

Do deep-learning on your own audio files like a pro with just a google account.

mimikit is a music modelling kit that lets you mimic / transform your own audio files with generative neural-networks.

It contains a collection of models in pytorch and pytorch-lightning as well as powerful ways to :

• prepare & store your data for these models
• train the models online by free gpu providers
• store and track every experiment you make & every sound bits you generate on neptune.ai - also for free

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Table of Contents

• Installation
• Quickstart
• Usage
• Documentation
• Contribute
• License

Installation

mimikit is available as a pip package. Open a terminal and type :

$ pip install mimikit

Quickstart

If you never did deep-learning before, we recommend you start with the quickest intro to practical deep-learning ever

• Have a google account and register with it to neptune.ai
• Put some audio files in your google drive or make a database on your computer
• Open the FreqNet starter notebook in colab and follow the instructions

For more, check out the mimikit-notebooks, the mmikit docs or the documentation for the freqnet package

Usage

Check out the mimikit-notebooks for client code examples

Documentation

TODO !

Contribute

mimikit welcomes all kinds of contributions! From bug-fixes to new cool experimental models or improving coverage of tests and docs : get in touch and/or make a pull request.

License

mimikit is distributed under the terms of the GNU General Public License v3.0