# liugangcode/torch-molecule

<https://repo.masters-masters.com/en/repos/liugangcode/torch-molecule>

[Home](https://repo.masters-masters.com/en) › [liugangcode](https://repo.masters-masters.com/en/owners/liugangcode) › [torch-molecule](https://repo.masters-masters.com/en/repos/liugangcode/torch-molecule)

liugangcode/torch-molecule has 333 stars on GitHub. Its RepoMasters card: Alpha tier. torch-molecule is a deep learning package for molecular discovery…

| Field | Value |
| --- | --- |
| Owner | [liugangcode](https://repo.masters-masters.com/en/owners/liugangcode) |
| Stars | 333 |
| Forks | 41 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2024 |
| Topics | deep-learning, graph-neural-networks, inverse-design, molecule, property-prediction, representation-learning |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [liugangcode/torch-molecule](https://github.com/liugangcode/torch-molecule) |

## Repository

torch-molecule is a deep learning package for molecular discovery, designed with an sklearn-style interface for property prediction, inverse design and representation learning.

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.