# lsj2408/Transformer-M

<https://repo.masters-masters.com/en/repos/lsj2408/Transformer-M>

[Home](https://repo.masters-masters.com/en) › [lsj2408](https://repo.masters-masters.com/en/owners/lsj2408) › [Transformer-M](https://repo.masters-masters.com/en/repos/lsj2408/Transformer-M)

lsj2408/Transformer-M has 219 stars on GitHub. Its RepoMasters card: Prototype tier. \[ICLR 2023\] One Transformer Can Understand Both 2D & 3D Molecular Data…

| Field | Value |
| --- | --- |
| Owner | [lsj2408](https://repo.masters-masters.com/en/owners/lsj2408) |
| Stars | 219 |
| Forks | 26 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2022 |
| Topics | transformer, general-purpose-molecular-model, graph-neural-network, graph-transformer, molecular-modeling, molecule |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [lsj2408/Transformer-M](https://github.com/lsj2408/Transformer-M) |

## Repository

\[ICLR 2023\] One Transformer Can Understand Both 2D & 3D Molecular Data (official implementation)

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.