# Eipgen/Atomistic-Machine-Learning-for-Computational-Chemistry

<https://repo.masters-masters.com/en/repos/Eipgen/Atomistic-Machine-Learning-for-Computational-Chemistry>

[Home](https://repo.masters-masters.com/en) › [Eipgen](https://repo.masters-masters.com/en/owners/Eipgen) › [Atomistic-Machine-Learning-for-Computational-Chemistry](https://repo.masters-masters.com/en/repos/Eipgen/Atomistic-Machine-Learning-for-Computational-Chemistry)

Eipgen/Atomistic-Machine-Learning-for-Computational-Chemistry has 206 stars on GitHub. Its RepoMasters card: Prototype tier. A collection of Neural Network…

| Field | Value |
| --- | --- |
| Owner | [Eipgen](https://repo.masters-masters.com/en/owners/Eipgen) |
| Stars | 206 |
| Forks | 23 |
| Language | No language |
| License | MIT |
| Created | 2022 |
| Topics | deep-learning, neural-networks, chemistry, dft, models, qm-mm, semiempirical-methods, machine-learning-density-functional-theory, machine-learning-molecular-force-field, computational-chemistry |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [Eipgen/Atomistic-Machine-Learning-for-Computational-Chemistry](https://github.com/Eipgen/Atomistic-Machine-Learning-for-Computational-Chemistry) |

## Repository

A collection of Neural Network Models for chemistry

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.