Awesome list of papers that extend Mamba to various applications. Please issue/pr if you have any updates! We will discuss the papers on issues, feel free to join!

Mamba is a new state-space model architecture showing promising performance on language modeling with O(N) complexity.

mamba.py 🐍 : a simple and efficient Mamba implementation

Mamba-jax

Mamba-minimal-pytorch

Mamba-minimal-in-JAX

Mamba.c: inference of Mamba models in C and CUDA

Efficient Visual Representation Learning with Bidirectional State Space Model

MambaMorph: a Mamba-based Backbone with Contrastive Feature Learning for Deformable MR-CT Registration

Vivim: a Video Vision Mamba for Medical Video Object Segmentation

SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation

VMamba: Visual State Space Model

U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation

Swin-UMamba

VM-UNet

ZigMa

MambaByte: Token-free Selective State Space Model

MoE-Mamba: Efficient Selective State Space Models with Mixture of Experts

BlackMamba: Mixture of Experts for State-Space Models

ClinicalMamba: A Generative Clinical Language Model on Longitudinal Clinical Notes

Repeat After Me: Transformers are Better than State Space Models at Copying

Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning Tasks

LOCOST: State-Space Models for Long Document Abstractive Summarization

Graph-Mamba: Towards Long-Range Graph Sequence Modeling with Selective State Spaces

Graph Mamba: Towards Learning on Graphs with State Space Models

Universality-1

Universality-2

StableSSM

Generalization

• @alxndrTL
• @GianlucaMancusi