# zoubohao/DenoisingDiffusionProbabilityModel-ddpm-

<https://repo.masters-masters.com/en/repos/zoubohao/DenoisingDiffusionProbabilityModel-ddpm->

[Home](https://repo.masters-masters.com/en) › [zoubohao](https://repo.masters-masters.com/en/owners/zoubohao) › [DenoisingDiffusionProbabilityModel-ddpm-](https://repo.masters-masters.com/en/repos/zoubohao/DenoisingDiffusionProbabilityModel-ddpm-)

zoubohao/DenoisingDiffusionProbabilityModel-ddpm- has 2,190 stars on GitHub. Its RepoMasters card: RC tier. This may be the simplest implement of DDPM. You…

| Field | Value |
| --- | --- |
| Owner | [zoubohao](https://repo.masters-masters.com/en/owners/zoubohao) |
| Stars | 2,190 |
| Forks | 216 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2022 |
| Topics | ddpm |
| Tier | [RC (2,000 to 4,999 ★)](https://repo.masters-masters.com/en/ranks/blockbuster) |
| View on GitHub | [zoubohao/DenoisingDiffusionProbabilityModel-ddpm-](https://github.com/zoubohao/DenoisingDiffusionProbabilityModel-ddpm-) |

## Repository

This may be the simplest implement of DDPM. You can directly run Main.py to train the UNet on CIFAR-10 dataset and see the amazing process of denoising.

The tier for repos with 2,000 to 4,999 ★. Published odds per card pulled: 3%. Rarity: Epic.

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Data: GitHub · Illustration: the project’s public image, pixelated by RepoMasters.