# aiqm/torchani

<https://repo.masters-masters.com/en/repos/aiqm/torchani>

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

aiqm/torchani has 567 stars on GitHub. Its RepoMasters card: Alpha tier. TorchANI 2.0 is an open-source library that supports training, development, and…

| Field | Value |
| --- | --- |
| Owner | [aiqm](https://repo.masters-masters.com/en/owners/aiqm) |
| Stars | 567 |
| Forks | 139 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2018 |
| Topics | deep-learning, neural-network, quantum-mechanics, quantum-chemistry, molecular-simulation, force-field, pytorch |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [aiqm/torchani](https://github.com/aiqm/torchani) |

## Repository

TorchANI 2.0 is an open-source library that supports training, development, and research of ANI-style neural network interatomic potentials. It was originally developed and is currently maintained by the Roitberg group.

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.