# choosewhatulike/trainable-agents

<https://repo.masters-masters.com/en/repos/choosewhatulike/trainable-agents>

[Home](https://repo.masters-masters.com/en) › [choosewhatulike](https://repo.masters-masters.com/en/owners/choosewhatulike) › [trainable-agents](https://repo.masters-masters.com/en/repos/choosewhatulike/trainable-agents)

choosewhatulike/trainable-agents has 655 stars on GitHub. Its RepoMasters card: Alpha tier. Code and datasets for "Character-LLM: A Trainable Agent for…

| Field | Value |
| --- | --- |
| Owner | [choosewhatulike](https://repo.masters-masters.com/en/owners/choosewhatulike) |
| Stars | 655 |
| Forks | 51 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2023 |
| Topics | agent, language-model, llm, roleplay, sft, large-language-models, natural-language-processing, character |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [choosewhatulike/trainable-agents](https://github.com/choosewhatulike/trainable-agents) |

## Repository

Code and datasets for "Character-LLM: A Trainable Agent for Role-Playing"

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

## Nearby in Python

- [sunyink/MFABD2 · ★ 655 · Python · Alpha](https://repo.masters-masters.com/en/repos/sunyink/MFABD2)
- [Boom5426/Nature-Paper-Skills · ★ 655 · Python · Alpha](https://repo.masters-masters.com/en/repos/Boom5426/Nature-Paper-Skills)
- [lynote-ai/ai-text-detector · ★ 655 · Python · Alpha](https://repo.masters-masters.com/en/repos/lynote-ai/ai-text-detector)
- [seomoz/shovel · ★ 655 · Python · Alpha](https://repo.masters-masters.com/en/repos/seomoz/shovel)
- [astrand/pyobfuscate · ★ 655 · Python · Alpha](https://repo.masters-masters.com/en/repos/astrand/pyobfuscate)
- [mlsecproject/combine · ★ 655 · Python · Alpha](https://repo.masters-masters.com/en/repos/mlsecproject/combine)

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