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https://github.com/caojiaolong/Awesome-Mamba
Collect papers about Mamba (a selective state space model).
https://github.com/caojiaolong/Awesome-Mamba
List: Awesome-Mamba
Last synced: about 2 months ago
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Collect papers about Mamba (a selective state space model).
- Host: GitHub
- URL: https://github.com/caojiaolong/Awesome-Mamba
- Owner: caojiaolong
- Created: 2024-01-28T16:54:26.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2024-08-06T07:05:51.000Z (4 months ago)
- Last Synced: 2024-10-25T21:52:03.195Z (about 2 months ago)
- Size: 4.88 KB
- Stars: 13
- Watchers: 2
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- Awesome-Mamba-Collection - [URL
README
# Awesome Mamba [](https://github.com/sindresorhus/awesome)
Paper collection about [Mamba](https://github.com/state-spaces/mamba) (a selective state space model).
If you come across any papers that have been missed, please feel free to open issues or submit pull requests (recommended).
## Papers
### Mamba original paper
- **[Mamba]** [Mamba: Linear-Time Sequence Modeling with Selective State Spaces](https://arxiv.org/abs/2312.00752) [[paper](https://arxiv.org/abs/2312.00752)] [[code](https://github.com/state-spaces/mamba)] (2023.12.01)
### arXiv papers (From oldest to latest)
- **[MoE-Mamba]** MoE-Mamba: Efficient Selective State Space Models with Mixture of Experts [[paper](https://arxiv.org/abs/2401.04081)] [[code](https://github.com/llm-random/llm-random)] (2024.01.08)
- **[U-Mamba]** U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation [[paper](https://arxiv.org/abs/2401.04722)] [[code](https://github.com/bowang-lab/U-Mamba)] [[dataset](https://drive.google.com/drive/folders/1DmyIye4Gc9wwaA7MVKFVi-bWD2qQb-qN?usp=sharing)] [[homepage](https://wanglab.ai/u-mamba.html)] (2024.01.09)
- **[MambaTab]** MambaTab: A Simple Yet Effective Approach for Handling Tabular Data [[paper](https://arxiv.org/abs/2401.08867)] (2024.01.16)
- **[Vision Mamba]** Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model [[paper](https://arxiv.org/abs/2401.09417)] [[code](https://github.com/hustvl/Vim)] (2024.01.17)
- **[VMamba]** VMamba: Visual State Space Model [[paper](https://arxiv.org/abs/2401.10166)] [[code](https://github.com/MzeroMiko/VMamba)] (2024.01.18)
- **[SegMamba]** SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation [[paper](https://arxiv.org/abs/2401.13560)] [[code](https://github.com/ge-xing/SegMamba)] (2024.01.24)
- **[MambaByte]** MambaByte: Token-free Selective State Space Model [[paper](https://arxiv.org/abs/2401.13660)] [[code](https://github.com/lucidrains/MEGABYTE-pytorch)] (2024.01.24)
- **[MambaMorph]** MambaMorph: a Mamba-based Backbone with Contrastive Feature Learning for Deformable MR-CT Registration [[paper](https://arxiv.org/abs/2401.13934)] [[code](https://github.com/guo-stone/mambamorph)] (2024.01.24)
- **[Vivim]** Vivim: a Video Vision Mamba for Medical Video Object Segmentation [[paper](https://arxiv.org/abs/2401.14168)] [[code](https://github.com/scott-yjyang/Vivim)] (2024.01.25)
- **[Graph-Mamba]** Graph-Mamba: Towards Long-Range Graph Sequence Modeling with Selective State Spaces [[paper](https://arxiv.org/abs/2402.00789)] [[code](https://github.com/bowang-lab/Graph-Mamba)] (2024.02.01)
## Acknowledgement
Thanks the template from [Awesome-Visual-Transformer](https://github.com/dk-liang/Awesome-Visual-Transformer)