/CelebA-GAN

A Generative adversarial network for generating celebrity face pictures using Pytorch and CelebA dataset.

MIT LicenseMIT

Project Title

A brief description of your project.

Generative Adversarial Networks (GANs) Project

This project involves the implementation and training of a Generative Adversarial Network (GAN) for generating realistic images.

Table of Contents

Installation

To set up this project on your local machine, follow these steps:

  1. Clone the repository: git clone https://github.com/Shivam7Sharma/CelebA-GAN.git
  2. Navigate into the cloned project directory: cd CelebA-GAN
  3. Create a virtual environment: python3 -m venv env
  4. Activate the virtual environment: source env/bin/activate
  5. Install the required dependencies: pip install -r requirements.txt

Usage

To train the GAN, run the following command in the terminal:

python main.py

This will start the training process. The progress of the training will be printed to the console.

Contributing

Contributions to this project are welcome. Here's how you can contribute:

  • Reporting bugs: If you find a bug, please open an issue in the issue tracker describing the problem.
  • Submitting fixes: If you've fixed a bug or implemented a new feature, please send a pull request.

When submitting a pull request, please make sure your changes are well-documented and include appropriate test coverage.

License

This project is licensed under the MIT License. See the LICENSE file for more details.