# yangqy1110/Diffusion-Models

扩散模型原理和pytorch代码实现初学资料汇总

Repository: https://github.com/yangqy1110/Diffusion-Models
Canonical: https://ross.abutalabs.com/products/diffusion-models
Language: Jupyter Notebook
License Family: other
Last push: 2024-04-19T05:59:50+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 1470, "days_push": 866, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1008, forks 77 (observed 2026-08-28T04:03:12.698358+00:00)

## What it is
A curated collection of learning resources for diffusion models, including classic papers, blog posts, videos, and annotated PyTorch implementations in Jupyter notebooks. It is aimed at beginners studying diffusion model theory and code.

## Use cases
- learn how diffusion models work from scratch
- find annotated pytorch implementations of DDPM
- collect papers and tutorials on diffusion and score matching models
- understand the annotated diffusion model notebook with theory-matched code comments
- study background topics like VAE and variational inference before diffusion models

## When to choose
- you are a beginner wanting a guided path through diffusion model theory and code
- you want Jupyter notebooks with Chinese annotations explaining the math line by line
- you need a starting point linking to the canonical DDPM papers and implementations

## When to avoid
- you need a production-ready diffusion model library for training or inference
- you want an actively maintained codebase with tests and releases
- you need English-only documentation

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, deep-learning, developer-tools
- domain: deep-learning, machine-learning, tutorials, artificial-intelligence
- platform: python
- tags: diffusion-models, pytorch, jupyter-notebooks, generative-models, curated-resources, ddpm, chinese-language

## Member repositories
- yangqy1110/Diffusion-Models (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:12.698358+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:12:22.957666+00:00, confidence not recorded.
  - readme: https://github.com/yangqy1110/Diffusion-Models (fetched 2026-08-28T04:03:12.698358+00:00, sha f382145fca55)
- Data as of 2026-08-30T08:39:29.467469+00:00.