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Mamba

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/LeapLabTHU/MLLA

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Demystify Mamba in Vision: A Linear Attention Perspective

https://github.com/LeoYML/BioMamba

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BioMamba: A Pre-trained Biomedical Language Representation Model Leveraging Mamba

https://github.com/Liangbo-Cheng/mamba_capsule

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Mamba Capsule Routing Towards Part-Whole Relational Camouflaged Object Detection

https://github.com/LincanLi98/STG-Mamba

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STG-Mamba: Spatial-Temporal Graph Learning via Selective State Space Model

https://github.com/Lizhe1228/MambaDFuse

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MambaDFuse: A Mamba-based Dual-phase Model for Multi-modality Image Fusion

https://github.com/LoserCheems/OTCE

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OTCE: Hybrid SSM and Attention with Cross Domain Mixture of Experts to construct Observer-Thinker-Conceiver-Expresser

https://github.com/MIC-DKFZ/nnunet

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nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation

https://github.com/MShahabSepehri/CryptoMamba

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CryptoMamba: Leveraging State Space Models for Accurate Bitcoin Price Prediction

https://github.com/NUS-HPC-AI-Lab/R-MeeTo

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Faster Vision Mamba is Rebuilt in Minutes via Merged Token Re-training

https://github.com/NVIDIA/Megatron-LM

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An Empirical Study of Mamba-based Language Models

https://github.com/NikolaiKyhne/MambAttention

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MambAttention: Mamba with Multi-Head Attention for Generalizable Single-Channel Speech Enhancement

https://github.com/Omid-Nejati/MedViTV2

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Medical Image Classification with KAN-Integrated Transformers and Dilated Neighborhood Attention

https://github.com/PSRben/FusionMamba

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FusionMamba: Efficient Remote Sensing Image Fusion with State Space Model

https://github.com/Phylliida/investigating-mamba-ioi

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Investigating the Indirect Object Identification circuit in Mamba

https://github.com/RPIDIAL/BI-Mamba

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Cardiovascular Disease Detection from Multi-View Chest X-rays with BI-Mamba

https://github.com/RingBDStack/DG-Mamba

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DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models

https://github.com/SarthakYadav/audio-mamba-official

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Audio Mamba: Selective State Spaces for Self-Supervised Audio Representations

https://github.com/SkyworkAI/Gamba

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Gamba: Marry Gaussian Splatting with Mamba for single view 3D reconstruction

https://github.com/Soumyabrata2003/Simba

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Simba: Mamba augmented U-ShiftGCN for Skeletal Action Recognition in Videos

https://github.com/TapasKumarDutta1/SAM_Mamba_2025

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SAM-Mamba: Mamba Guided SAM Architecture for Generalized Zero-Shot Polyp Segmentation

https://github.com/USTCLH/OccMamba

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OccMamba: Semantic Occupancy Prediction with State Space Models

https://github.com/VectorInstitute/odyssey

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EHRMamba: Towards Generalizable and Scalable Foundation Models for Electronic Health Records

https://github.com/WangLibo1995/GeoSeg

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PyramidMamba: Rethinking Pyramid Feature Fusion with Selective Space State Model for Semantic Segmentation of Remote Sensing Imagery

https://github.com/WuDH2000/CrossMamba

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Cross-attention Inspired Selective State Space Models for Target Sound Extraction

https://github.com/XLearning-SCU/2025-CVPR-MaIR

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MaIR: A Locality- and Continuity-Preserving Mamba for Image Restoration

https://github.com/XY-boy/FreMamba

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Frequency-Assisted Mamba for Remote Sensing Image Super-Resolution

https://github.com/XiongxiaoXu/Mambaformer-in-Time-Series

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SST: Multi-Scale Hybrid Mamba-Transformer Experts for Long-Short Range Time Series Forecasting

https://github.com/XiudingCai/MambaTS-pytorch

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MambaTS: Improved Selective State Space Models for Long-term Time Series Forecasting

https://github.com/Xuan-World/Mamba-YOLO-World

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Mamba-YOLO-World: Marrying YOLO-World with Mamba for Open-Vocabulary Detection

https://github.com/YhuoyuH/RetinexMamba

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Retinexmamba: Retinex-based Mamba for Low-light Image Enhancement

https://github.com/YonghengSun1997/R2Gen-Mamba

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R2Gen-Mamba: A Selective State Space Model for Radiology Report Generation

https://github.com/YubiaoYue/MedMamba

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MedMamba: Vision Mamba for Medical Image Classification

https://github.com/YukinoAsuna/SAMBA

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Simplified Mamba with Disentangled Dependency Encoding for Long-Term Time Series Forecasting

https://github.com/Zizzzzzzz/SMamba_AAAI2025

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SMamba: Sparse Mamba for Event-based Object Detection

https://github.com/aaroncao06/MedSegMamba

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MedSegMamba: 3D CNN-Mamba Hybrid Architecture for Brain Segmentation

https://github.com/abhibambhaniya/genz-llm-analyzer

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Demystifying AI Platform Design for Distributed Inference of Next-Generation LLM models

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.