# kjappelbaum/awesome-chemistry-datasets

<https://repo.masters-masters.com/en/repos/kjappelbaum/awesome-chemistry-datasets>

[Home](https://repo.masters-masters.com/en) › [kjappelbaum](https://repo.masters-masters.com/en/owners/kjappelbaum) › [awesome-chemistry-datasets](https://repo.masters-masters.com/en/repos/kjappelbaum/awesome-chemistry-datasets)

kjappelbaum/awesome-chemistry-datasets has 429 stars on GitHub. Its RepoMasters card: Alpha tier. overview of datasets for ML in chemistry

| Field | Value |
| --- | --- |
| Owner | [kjappelbaum](https://repo.masters-masters.com/en/owners/kjappelbaum) |
| Stars | 429 |
| Forks | 62 |
| Language | No language |
| License | CC0-1.0 |
| Created | 2023 |
| Topics | machine-learning, ai, awesome, chemistry, data, molecules, hacktoberfest |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [kjappelbaum/awesome-chemistry-datasets](https://github.com/kjappelbaum/awesome-chemistry-datasets) |

## Repository

overview of datasets for ML in chemistry

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

## More repos by kjappelbaum

- [kjappelbaum/gptchem · ★ 262 · Jupyter Notebook · Alpha](https://repo.masters-masters.com/en/repos/kjappelbaum/gptchem)

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
