# HelloWorldLTY/scEval

<https://repo.masters-masters.com/en/repos/HelloWorldLTY/scEval>

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

HelloWorldLTY/scEval has 116 stars on GitHub. Its RepoMasters card: Prototype tier. Codes for paper: Evaluating the Utilities of Large Language Models in…

| Field | Value |
| --- | --- |
| Owner | [HelloWorldLTY](https://repo.masters-masters.com/en/owners/HelloWorldLTY) |
| Stars | 116 |
| Forks | 13 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2023 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [HelloWorldLTY/scEval](https://github.com/HelloWorldLTY/scEval) |

## Repository

Codes for paper: Evaluating the Utilities of Large Language Models in Single-cell Data Analysis.

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.