Awesome list of Mamba papers, theory, and applications!
Please issue/pr if you have any updates :)
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.c: inference of Mamba models in C and CUDA
PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition
Efficient Visual Representation Learning with Bidirectional State Space Model
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
ExpoMamba (ICML ES-FoMo II)
I2I-Mamba: Multi-modal Medical Image Synthesis via Selective State Space Modeling [code]
SUM: Saliency Unification through Mamba for Visual Attention Modeling [code] (WACV2025)
DiM: Diffusion Mamba for Efficient High-Resolution Image Synthesis [code]
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