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This is My Melody Generator project. It is trained on German Melody dataset.

Python 100.00%
python python3 tensorflow keras keras-tensorflow neural-network lstm music melody melody-generation

germanmelgen's Introduction

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GermanMelGen

An awesome AI model to generate German Pop melodies
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Table of Contents

About The Project

I have made many projects in AI. This time I decided to make something very simple and fun in this time. This is an LSTM model trained on German Pop Melodies. It is an amazing way to learn the basics of LSTMs and music data preprocessing.

A list of commonly used resources that I find helpful are listed in the acknowledgements.

Built With

Getting Started

To get a local copy up and running follow these simple example steps.

Prerequisites

Installation

  1. Clone the repo
git clone https://github.com/PratikSavla/GermanMelGen.git
  1. Create Conda Virtual Environment
cd GermanMelGen
conda create -n germelgen python=3.7 anaconda
  1. Activate your virtual environment
source activate germelgen
  1. Install packages
conda install --force-reinstall -y --name germelgen --file requirements.txt
  1. Additional requirements may be needed to setup musescore.

Usage

  1. Download the dataset for training the model
python preprocess.py
python train.py
  1. Use Pretrained Model to generate melody.
python melodygenerator.py

Roadmap

See the open issues for a list of proposed features (and known issues).

Contributing

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.

  1. Fork the Project
  2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
  3. Commit your Changes (git commit -m 'Add some AmazingFeature')
  4. Push to the Branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

License

Distributed under the MIT License. See LICENSE for more information.

Contact

Your Name - @pratik_savla_ - [email protected]

Project Link: https://github.com/PratikSavla/GermanMelGen

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