https://github.com/ymorsi7/dcganimagegen
https://github.com/ymorsi7/dcganimagegen
Last synced: 3 months ago
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- Host: GitHub
- URL: https://github.com/ymorsi7/dcganimagegen
- Owner: ymorsi7
- Created: 2024-06-10T01:25:48.000Z (12 months ago)
- Default Branch: main
- Last Pushed: 2024-09-19T22:03:42.000Z (8 months ago)
- Last Synced: 2025-01-23T09:44:00.285Z (4 months ago)
- Language: Jupyter Notebook
- Size: 34.6 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# GAN Training Repository
This repository contains code to train a Generative Adversarial Network (GAN) using PyTorch. The repository includes the generator and discriminator models, training process, and result visualization.
[https://www.youtube.com/watch?v=LSyDIURO6qo&ab_channel=YusufMorsi](https://www.youtube.com/watch?v=LSyDIURO6qo&ab_channel=YusufMorsi)
## Table of Contents
- [Introduction](#introduction)
- [Requirements](#requirements)
- [Installation](#installation)
- [Usage](#usage)
- [Training](#training)
- [Results](#results)
- [Acknowledgements](#acknowledgements)
- [License](#license)
## Introduction
This project demonstrates how to train a GAN with custom kernel sizes and padding values for the generator and discriminator. The training process includes setting up optimizers, applying weight initialization, and logging losses during training.
## Requirements
- Python 3.x
- PyTorch
- torchvision
- numpy
- matplotlib
## Installation
1. Clone the repository:
```bash
git clone https://github.com/ymorsi7/DCGANImageGen.git