# kyegomez/MoE-Mamba

<https://repo.masters-masters.com/en/repos/kyegomez/MoE-Mamba>

[Home](https://repo.masters-masters.com/en) › [kyegomez](https://repo.masters-masters.com/en/owners/kyegomez) › [MoE-Mamba](https://repo.masters-masters.com/en/repos/kyegomez/MoE-Mamba)

kyegomez/MoE-Mamba has 131 stars on GitHub. Its RepoMasters card: Prototype tier. Implementation of MoE Mamba from the paper: "MoE-Mamba: Efficient Selective…

| Field | Value |
| --- | --- |
| Owner | [kyegomez](https://repo.masters-masters.com/en/owners/kyegomez) |
| Stars | 131 |
| Forks | 11 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2024 |
| Topics | ai, ml, moe, multi-modal-fusion, multi-modality, swarms |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [kyegomez/MoE-Mamba](https://github.com/kyegomez/MoE-Mamba) |

## Repository

Implementation of MoE Mamba from the paper: "MoE-Mamba: Efficient Selective State Space Models with Mixture of Experts" in Pytorch and Zeta

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.