└── README.md


/README.md:
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 1 | # Awesome Mamba [![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/sindresorhus/awesome)
 2 | 
 3 | Paper collection about [Mamba](https://github.com/state-spaces/mamba) (a selective state space model). 
 4 | 
 5 | If you come across any papers that have been missed, please feel free to open issues or submit pull requests (recommended).
 6 | 
 7 | ## Papers
 8 | 
 9 | ### Mamba original paper
10 | 
11 | - **[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)
12 | 
13 | ### arXiv papers (From oldest to latest)
14 | 
15 | - **[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)
16 | 
17 | - **[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)
18 | 
19 | - **[MambaTab]** MambaTab: A Simple Yet Effective Approach for Handling Tabular Data [[paper](https://arxiv.org/abs/2401.08867)] (2024.01.16)
20 | 
21 | - **[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)
22 | 
23 | - **[VMamba]** VMamba: Visual State Space Model [[paper](https://arxiv.org/abs/2401.10166)] [[code](https://github.com/MzeroMiko/VMamba)] (2024.01.18)
24 | 
25 | - **[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)
26 | 
27 | - **[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)
28 | 
29 | - **[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)
30 | 
31 | - **[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)
32 | 
33 | - **[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)
34 | 
35 | - **[BioMamba]** BioMamba: A Pre-trained Biomedical Language Representation Model Leveraging Mamba [[paper](https://arxiv.org/abs/2408.02600)] (2024.08.05)
36 | 
37 | ## Acknowledgement
38 | 
39 | Thanks the template from [Awesome-Visual-Transformer](https://github.com/dk-liang/Awesome-Visual-Transformer)
40 | 


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