joseph-nagel/diffusion-demo
PyTorch denoising diffusion demo
This project helps machine learning researchers understand and experiment with denoising diffusion models for generating new data. It takes in structured data (like 2D shapes or images) and produces new, similar data points from random noise. Researchers can use this to explore how these generative models learn and create novel samples.
Use this if you are an AI researcher or student wanting to learn about, implement, and experiment with denoising diffusion models for data generation.
Not ideal if you need a production-ready, highly optimized generative AI solution or an application for generating complex, high-resolution real-world images.
Stars
17
Forks
10
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Feb 05, 2026
Commits (30d)
0
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