# MinkaiXu/GeoDiff

<https://repo.masters-masters.com/en/repos/MinkaiXu/GeoDiff>

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

MinkaiXu/GeoDiff has 421 stars on GitHub. Its RepoMasters card: Alpha tier. Implementation of GeoDiff: a Geometric Diffusion Model for Molecular Conformation…

| Field | Value |
| --- | --- |
| Owner | [MinkaiXu](https://repo.masters-masters.com/en/owners/MinkaiXu) |
| Stars | 421 |
| Forks | 85 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2022 |
| Topics | molecule, graph-neural-networks, generative-models, conformation, iclr, iclr2022, diffusion-models, score-matching, computational-biology, computational-chemistry |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [MinkaiXu/GeoDiff](https://github.com/MinkaiXu/GeoDiff) |

## Repository

Implementation of GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation (ICLR 2022).

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.