# arneschneuing/DiffSBDD

<https://repo.masters-masters.com/en/repos/arneschneuing/DiffSBDD>

[Home](https://repo.masters-masters.com/en) › [arneschneuing](https://repo.masters-masters.com/en/owners/arneschneuing) › [DiffSBDD](https://repo.masters-masters.com/en/repos/arneschneuing/DiffSBDD)

arneschneuing/DiffSBDD has 537 stars on GitHub. Its RepoMasters card: Alpha tier. A Euclidean diffusion model for structure-based drug design. Language: Python.

| Field | Value |
| --- | --- |
| Owner | [arneschneuing](https://repo.masters-masters.com/en/owners/arneschneuing) |
| Stars | 537 |
| Forks | 124 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2022 |
| Topics | ddpm, drug-design, equivariance, generative-model, graph-neural-networks, machine-learning |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [arneschneuing/DiffSBDD](https://github.com/arneschneuing/DiffSBDD) |

## Repository

A Euclidean diffusion model for structure-based drug design.

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.