# BioinfoMachineLearning/bio-diffusion

<https://repo.masters-masters.com/en/repos/BioinfoMachineLearning/bio-diffusion>

[Home](https://repo.masters-masters.com/en) › [BioinfoMachineLearning](https://repo.masters-masters.com/en/owners/BioinfoMachineLearning) › [bio-diffusion](https://repo.masters-masters.com/en/repos/BioinfoMachineLearning/bio-diffusion)

BioinfoMachineLearning/bio-diffusion has 243 stars on GitHub. Its RepoMasters card: Prototype tier. A geometry-complete diffusion generative model (GCDM) for…

| Field | Value |
| --- | --- |
| Owner | [BioinfoMachineLearning](https://repo.masters-masters.com/en/owners/BioinfoMachineLearning) |
| Stars | 243 |
| Forks | 36 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2023 |
| Topics | computational-biology, computational-chemistry, deep-learning, generative-model, graph-neural-networks, machine-learning |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [BioinfoMachineLearning/bio-diffusion](https://github.com/BioinfoMachineLearning/bio-diffusion) |

## Repository

A geometry-complete diffusion generative model (GCDM) for 3D molecule generation and optimization. (Nature CommsChem)

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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