# bjing2016/EigenFold

<https://repo.masters-masters.com/en/repos/bjing2016/EigenFold>

[Home](https://repo.masters-masters.com/en) › [bjing2016](https://repo.masters-masters.com/en/owners/bjing2016) › [EigenFold](https://repo.masters-masters.com/en/repos/bjing2016/EigenFold)

bjing2016/EigenFold has 179 stars on GitHub. Its RepoMasters card: Prototype tier. EigenFold: Generative Protein Structure Prediction with Diffusion Models

| Field | Value |
| --- | --- |
| Owner | [bjing2016](https://repo.masters-masters.com/en/owners/bjing2016) |
| Stars | 179 |
| Forks | 29 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2023 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [bjing2016/EigenFold](https://github.com/bjing2016/EigenFold) |

## Repository

EigenFold: Generative Protein Structure Prediction with Diffusion Models

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

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- [bjing2016/subspace-diffusion · ★ 136 · Python · Prototype](https://repo.masters-masters.com/en/repos/bjing2016/subspace-diffusion)

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