# xingjian-bai/opal

<https://repo.masters-masters.com/en/repos/xingjian-bai/opal>

[Home](https://repo.masters-masters.com/en) › [xingjian-bai](https://repo.masters-masters.com/en/owners/xingjian-bai) › [opal](https://repo.masters-masters.com/en/repos/xingjian-bai/opal)

xingjian-bai/opal has 333 stars on GitHub. Its RepoMasters card: Alpha tier. OPAL: a reactive optimizer. A coding agent rewrites the optimizer while your…

| Field | Value |
| --- | --- |
| Owner | [xingjian-bai](https://repo.masters-masters.com/en/owners/xingjian-bai) |
| Stars | 333 |
| Forks | 20 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2026 |
| Topics | deep-learning, llm-agents, optimizer, pytorch |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [xingjian-bai/opal](https://github.com/xingjian-bai/opal) |

## Repository

OPAL: a reactive optimizer. A coding agent rewrites the optimizer while your model trains.

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.