{"id":15783650,"url":"https://github.com/deepmancer/diffusion-gan-vae-pytorch","last_synced_at":"2025-07-27T06:36:04.006Z","repository":{"id":169009814,"uuid":"644869046","full_name":"deepmancer/diffusion-gan-vae-pytorch","owner":"deepmancer","description":"A PyTorch implementation of various deep generative models, including Diffusion (DDPM), GAN, cGAN, and VAE.","archived":false,"fork":false,"pushed_at":"2024-08-16T12:18:00.000Z","size":21642,"stargazers_count":4,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2024-10-11T20:02:56.981Z","etag":null,"topics":["conditional-diffusion","conditional-gan","conditional-generation","diffusion-models","fashion-mnist","from-scratch","generative-adversarial-network","mnist","pytorch","vae-pytorch"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/deepmancer.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2023-05-24T12:29:34.000Z","updated_at":"2024-08-24T23:13:20.000Z","dependencies_parsed_at":"2024-08-16T13:44:46.138Z","dependency_job_id":null,"html_url":"https://github.com/deepmancer/diffusion-gan-vae-pytorch","commit_stats":null,"previous_names":["alirezahr79/generative-models","alirezaheidari-cs/generative-models","deepmancer/generative-models","deepmancer/diffusion-gan-vae-pytorch"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/deepmancer/diffusion-gan-vae-pytorch","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/deepmancer%2Fdiffusion-gan-vae-pytorch","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/deepmancer%2Fdiffusion-gan-vae-pytorch/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/deepmancer%2Fdiffusion-gan-vae-pytorch/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/deepmancer%2Fdiffusion-gan-vae-pytorch/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/deepmancer","download_url":"https://codeload.github.com/deepmancer/diffusion-gan-vae-pytorch/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/deepmancer%2Fdiffusion-gan-vae-pytorch/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":267317732,"owners_count":24068482,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-07-27T02:00:11.917Z","response_time":82,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["conditional-diffusion","conditional-gan","conditional-generation","diffusion-models","fashion-mnist","from-scratch","generative-adversarial-network","mnist","pytorch","vae-pytorch"],"created_at":"2024-10-04T20:00:25.730Z","updated_at":"2025-07-27T06:36:03.979Z","avatar_url":"https://github.com/deepmancer.png","language":"Jupyter Notebook","readme":"# 🎨 Deep Generative Models in PyTorch\n\n\u003cp align=\"center\"\u003e\n  \u003cimg src=\"https://img.shields.io/badge/PyTorch-%23EE4C2C.svg?style=for-the-badge\u0026logo=PyTorch\u0026logoColor=white\" alt=\"PyTorch\"\u003e\n  \u003cimg src=\"https://img.shields.io/badge/Python-3670A0?style=for-the-badge\u0026logo=Python\u0026logoColor=ffdd54\" alt=\"Python\"\u003e\n  \u003cimg src=\"https://img.shields.io/badge/Jupyter-F37626.svg?\u0026style=for-the-badge\u0026logo=Jupyter\u0026logoColor=white\" alt=\"Jupyter Notebook\"\u003e\n  \u003cimg src=\"https://img.shields.io/badge/license-MIT-blue.svg?style=for-the-badge\" alt=\"License\"\u003e\n\u003c/p\u003e\n\n\u003e Master deep generative models in PyTorch with ease!\n\nWelcome to **Diffusion-GAN-VAE-PyTorch**! This repository is your ultimate resource for mastering deep generative models, implemented from scratch in PyTorch. It features **Variational Autoencoders (VAE)**, **Generative Adversarial Networks (GAN)**, **Conditional GANs**, **Diffusion Models**, and **Conditional Diffusion Models**, all crafted with clarity and precision. \n\n---\n\n| **Source Code** | **Website** |\n|:-----------------|:------------|\n| \u003ca href=\"https://github.com/deepmancer/diffusion-gan-vae-pytorch\" target=\"_blank\"\u003egithub.com/deepmancer/diffusion-gan-vae-pytorch\u003c/a\u003e | \u003ca href=\"https://deepmancer.github.io/diffusion-gan-vae-pytorch/\" target=\"_blank\"\u003edeepmancer.github.io/diffusion-gan-vae-pytorch\u003c/a\u003e |\n\n---\n\n## 🌟 Highlights\n\n- 🧩 Modular \u0026 Educational\n- 🔍 Explore Cutting-Edge Models\n- 💡 Beginner-Friendly Yet Research-Ready\n- 📕 Fully documented\n\n👉 **[Star this repo](https://github.com/deepmancer/diffusion-gan-vae-pytorch/stargazers)** if you find it helpful, and join our community of AI enthusiasts!\n\n---\n\n## 🌠 Results\n\n### Fashion MNIST\n\u003cp align=\"center\"\u003e\n  \u003cimg src=\"https://raw.githubusercontent.com/deepmancer/diffusion-gan-vae-pytorch/main/images/fashion_mnist.png\" width=\"600\" alt=\"Fashion MNIST Results\"\u003e\n\u003c/p\u003e\n\n### Conditional Diffusion Model\n\u003cp align=\"center\"\u003e\n  \u003cimg src=\"https://raw.githubusercontent.com/deepmancer/diffusion-gan-vae-pytorch/main/images/cddpm_1.png\" width=\"600\" alt=\"Conditional Diffusion Model Results 1\"\u003e\n  \u003cimg src=\"https://raw.githubusercontent.com/deepmancer/diffusion-gan-vae-pytorch/main/images/cddpm_2.png\" width=\"600\" alt=\"Conditional Diffusion Model Results 2\"\u003e\n\u003c/p\u003e\n\n### Diffusion Model\n\u003cp align=\"center\"\u003e\n  \u003cimg src=\"https://raw.githubusercontent.com/deepmancer/diffusion-gan-vae-pytorch/main/images/ddpm_1.png\" width=\"600\" alt=\"Diffusion Model Results 1\"\u003e\n  \u003cimg src=\"https://raw.githubusercontent.com/deepmancer/diffusion-gan-vae-pytorch/main/images/ddpm_2.png\" width=\"600\" alt=\"Diffusion Model Results 2\"\u003e\n\u003c/p\u003e\n\n### Conditional GAN\n\u003cp align=\"center\"\u003e\n  \u003cimg src=\"https://raw.githubusercontent.com/deepmancer/diffusion-gan-vae-pytorch/main/images/cgan.png\" width=\"600\" alt=\"Conditional GAN Results\"\u003e\n\u003c/p\u003e\n\n### GAN\n\u003cp align=\"center\"\u003e\n  \u003cimg src=\"https://raw.githubusercontent.com/deepmancer/diffusion-gan-vae-pytorch/main/images/gan_1.png\" width=\"600\" alt=\"GAN Results 1\"\u003e\n  \u003cimg src=\"https://raw.githubusercontent.com/deepmancer/diffusion-gan-vae-pytorch/main/images/gan_2.png\" width=\"600\" alt=\"GAN Results 2\"\u003e\n\u003c/p\u003e\n\n### VAE\n\u003cp align=\"center\"\u003e\n  \u003cimg src=\"https://raw.githubusercontent.com/deepmancer/diffusion-gan-vae-pytorch/main/images/vae_1.png\" width=\"600\" alt=\"VAE Results 1\"\u003e\n  \u003cimg src=\"https://raw.githubusercontent.com/deepmancer/diffusion-gan-vae-pytorch/main/images/vae_2.png\" width=\"600\" alt=\"VAE Results 2\"\u003e\n\u003c/p\u003e\n\n---\n\n## 🛠️ Installation\n\n### Requirements\nEnsure the following dependencies are installed:\n\n- **Python 3**: The programming language used.\n- **PyTorch**: The deep learning framework for model building and training.\n- **NumPy**: For numerical computations.\n- **Matplotlib**: For result visualizations.\n- **tqdm**: For progress tracking.\n\nInstall dependencies with pip:\n\n```bash\npip install torch numpy matplotlib tqdm\n```\n\n---\n\n## 🌀 Models Overview\n\n### 🔹 Variational Autoencoder (VAE)\nA **VAE** learns a probabilistic latent space, enabling smooth interpolation and robust generation of new data points.\n\n### 🔹 Generative Adversarial Network (GAN)\n**GANs** pit a generator against a discriminator in a game-like setup, creating highly realistic samples over time.\n\n### 🔹 Conditional Generative Adversarial Network (cGAN)\n**cGANs** incorporate conditional inputs (like class labels) to control data generation, enabling targeted synthesis.\n\n### 🔹 Diffusion Models\n**Diffusion Models** simulate a stochastic process to progressively model complex distributions, resulting in high-quality generation.\n\n### 🔹 Conditional Diffusion Models\nBuilding on diffusion models, **Conditional Diffusion Models** allow for guided, condition-driven generation.\n\n---\n\n## 🌟 Getting Started\n\n1. Clone the repository:\n   ```bash\n   git clone https://github.com/deepmancer/diffusion-gan-vae-pytorch.git\n   cd diffusion-gan-vae-pytorch\n   ```\n\n2. Install dependencies.\n\n3. Run the notebook!\n\n---\n\n## 📝 License\n\nThis project is licensed under the **MIT License**. Feel free to use it in your projects while crediting the repository. See the [LICENSE](LICENSE) file for details.\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdeepmancer%2Fdiffusion-gan-vae-pytorch","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdeepmancer%2Fdiffusion-gan-vae-pytorch","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdeepmancer%2Fdiffusion-gan-vae-pytorch/lists"}