zoubohao/DenoisingDiffusionProbabilityModel-ddpm- resource

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

2182 stars · 218 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A minimal, educational PyTorch implementation of Denoising Diffusion Probabilistic Models (DDPM) that trains a UNet on CIFAR-10. It also includes a variant with classifier-free guidance and links to papers and blogs for learning diffusion models.

Use cases

• learn how diffusion models work
• simplest ddpm implementation to study
• train a unet on cifar-10
• understand classifier-free guidance
• generate images with a diffusion model
• tutorial for denoising diffusion probabilistic models

When to choose

• you want a small, readable codebase to learn DDPM internals
• you want to train a toy diffusion model on CIFAR-10
• you need a starting point with classifier-free guidance included

When to avoid

• you need production-grade, scalable diffusion training
• you want high-resolution or text-to-image generation
• you need a maintained library with extensive features

Facets

learning-resource · maturity maintenance

machine-learning deep-learning image-processing deep-learning machine-learning image-processing tutorials python ddpm diffusion-models unet cifar-10 classifier-free-guidance educational-implementation

Member repositories

For agents

markdown · JSON · MCP: product_card(name="zoubohao/DenoisingDiffusionProbabilityModel-ddpm-")