A brief description of your project.
This project involves the implementation and training of a Generative Adversarial Network (GAN) for generating realistic images.
To set up this project on your local machine, follow these steps:
- Clone the repository:
git clone https://github.com/Shivam7Sharma/CelebA-GAN.git
- Navigate into the cloned project directory:
cd CelebA-GAN
- Create a virtual environment:
python3 -m venv env
- Activate the virtual environment:
source env/bin/activate
- Install the required dependencies:
pip install -r requirements.txt
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.
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.
This project is licensed under the MIT License. See the LICENSE file for more details.