| # Experimental GAN for Bach-like Textures | |
| ## Description | |
| This repository contains an experimental Generative Adversarial Network (GAN) model designed to generate Bach-like textures. The model is based on the Aligned Bach Chorales Dataset, available at [this link](https://github.com/measure-map/aligned_bach_chorales). | |
| ## License | |
| This project is licensed under the MIT License. | |
| ## Model Overview | |
| The GAN consists of two parts: a generator and a discriminator. Both models were trained on the Aligned Bach Chorales Dataset, which represents Bach chorales in a binary matrix format. | |
| ## Installation and Requirements | |
| To use this model, you need to have PyTorch version 2.1.0+cu121 installed. You can install PyTorch by following the instructions on the [official website](https://pytorch.org/get-started/locally/). | |
| ## Usage | |
| 1. **Clone the Repository**: | |
| ``` | |
| git clone [repository URL] | |
| ``` | |
| 2. **Load the Models**: | |
| - Use `torch.load()` to load the provided state dictionaries for both the generator and the discriminator. | |
| 3. **Convert Binary Matrices to MIDI**: | |
| - Utilize the `binary_to_midi` notebook included in this repository to convert the binary matrices generated by the GAN into MIDI format. | |
| ## Dataset | |
| The dataset used for training this model can be found in the folder named "np_convert". This folder contains binary representations of Bach chorales. | |
| ## Contributing | |
| Contributions to this project are welcome. Please feel free to submit issues and pull requests. | |
| ## Contact | |
| For any queries or discussions regarding this project, please open an issue in this repository. | |
| ## Acknowledgements | |
| Special thanks to the creators and maintainers of the Aligned Bach Chorales Dataset for providing the data used to train this model. | |