# LINs-lab/DynMoE

<https://repo.masters-masters.com/en/repos/LINs-lab/DynMoE>

[Home](https://repo.masters-masters.com/en) › [LINs-lab](https://repo.masters-masters.com/en/owners/LINs-lab) › [DynMoE](https://repo.masters-masters.com/en/repos/LINs-lab/DynMoE)

LINs-lab/DynMoE has 165 stars on GitHub. Its RepoMasters card: Prototype tier. \[ICLR 2025\] Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient…

| Field | Value |
| --- | --- |
| Owner | [LINs-lab](https://repo.masters-masters.com/en/owners/LINs-lab) |
| Stars | 165 |
| Forks | 20 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2024 |
| Topics | mixture-of-experts, moe, multimodal-large-language-models, adaptive-computation, language-model |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [LINs-lab/DynMoE](https://github.com/LINs-lab/DynMoE) |

## Repository

\[ICLR 2025\] Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models

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.