state-space-model

There are 142 repositories under state-space-model topic.

  • ChenHongruixuan/ChangeMamba

    [IEEE TGRS 2024] ChangeMamba: Remote Sensing Change Detection Based on Spatio-Temporal State Space Model

    Language:Python49634

  • LMD0311/PointMamba

    [NeurIPS 2024] PointMamba: A Simple State Space Model for Point Cloud Analysis

    Language:Python46265232

  • CompVis/zigma

    A PyTorch implementation of the paper "ZigMa: A DiT-Style Mamba-based Diffusion Model" (ECCV 2024)

    Language:Python336112622

  • weigao266/Awesome-Efficient-Arch

    Speed Always Wins: A Survey on Efficient Architectures for Large Language Models

    32830

  • xmindflow/Awesome_Mamba

    Computation-Efficient Era: A Comprehensive Survey of State Space Models in Medical Image Analysis

    2546419

  • jxiw/MambaInLlama

    [NeurIPS 2024] Official Repository of The Mamba in the Llama: Distilling and Accelerating Hybrid Models

    Language:Python22952620

  • proger/accelerated-scan

    Accelerated First Order Parallel Associative Scan

    Language:Python188798

  • Event-AHU/Medical_Image_Analysis

    Foundation models based medical image analysis

    Language:Python1713186

  • hkproj/mamba-notes

    Notes on the Mamba and the S4 model (Mamba: Linear-Time Sequence Modeling with Selective State Spaces)

    1702112

  • kaistmm/Audio-Mamba-AuM

    Official Implementation of the work "Audio Mamba: Bidirectional State Space Model for Audio Representation Learning"

    Language:Python1527515

  • SiavashShams/ssamba

    [SLT'24] The official implementation of SSAMBA: Self-Supervised Audio Representation Learning with Mamba State Space Model

    Language:Python1267711

  • maklachur/Mamba-in-Computer-Vision

    Mamba in Vision: A Comprehensive Survey of Techniques and Applications

    124213

  • uzh-rpg/ssms_event_cameras

    [CVPR'24 Spotlight] The official implementation of "State Space Models for Event Cameras"

    Language:Python121131313

  • ChunjingXiao/DiffAD

    Imputation-based Time-Series Anomaly Detection with Conditional Weight-Incremental Diffusion Models, KDD 2023

    Language:Python11711013

  • Chernobyllight/SaMam

    CVPR 2025 (Highlight)

    Language:Python111

  • ComputationalPsychiatry/pyhgf

    PyHGF: A neural network library for predictive coding

    Language:Python9677625

  • Eric-Bradford/SDD-GP-MPC

    This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).

    Language:Python65107

  • Alro10/MOESP-and-N4SID

    Subspace methods for MIMO system identification

    Language:MATLAB643312

  • GenRobo/MatMamba

    Code and pretrained models for the paper: "MatMamba: A Matryoshka State Space Model"

    Language:Python61

  • rbitr/llm.f90

    LLM inference in Fortran

    Language:Fortran61558

  • AuroraZengfh/MambaIC

    [CVPR'25] Official Implementation of MambaIC: State Space Models for High-Performance Learned Image Compression

    Language:Python591

  • qu-gg/torch-neural-ssm

    Neural State-Space Models and Latent Dynamics Functions in PyTorch for High-Dimensional Forecasting

    Language:Python52439

  • Eden-Kramer-Lab/replay_trajectory_classification

    State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data

    Language:Jupyter Notebook4933518

  • Event-AHU/Mamba_FETrack

    [PRCV-2024] State Space Model based Frame-Event Tracking

    Language:Python43492

  • Event-AHU/MambaEVT

    [IEEE TCSVT 2025] Event stream based visual object tracking using Mamba/State Space Model

    Language:Python41162

  • weirayao/leap

    LEAP is a tool for discovering latent temporal causal relations with gradient-based neural network.

    Language:Jupyter Notebook37216

  • xiaojieli0903/Mamba-FSCIL

    Official repository of ”Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for Few-Shot Class-Incremental Learning"

    Language:Python35221

  • automl/Mamba4Cast

    Mamba4Cast, a zero-shot time series forecasting model, achieves competitive performance and faster inference than transformer-based models by leveraging Mamba architecture and synthetic training data to generalize robustly without fine-tuning.

    Language:Jupyter Notebook34522

  • compops/pmh-tutorial

    Source code and data for the tutorial: "Getting started with particle Metropolis-Hastings for inference in nonlinear models"

    Language:R284010

  • EEA-sensors/parallel-non-linear-gaussian-smoothers

    Companion code in JAX for the paper Parallel Iterated Extended and Sigma-Point Kalman Smoothers.

    Language:Jupyter Notebook27342

  • clear-nus/NCDSSM

    PyTorch implementation of the NCDSSM models presented in the ICML '23 paper "Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series".

    Language:Python25233

  • mims-harvard/Phyla

    Phyla: Towards a Foundation Model for Phylogenetic Inference

    Language:Python22201
  • event-ssm

    Efficient-Scalable-Machine-Learning/event-ssm

    Official implementation of our paper "Scalable Event-by-event Processing of Neuromorphic Sensory Signals With Deep State-Space Models"

    Language:Python18224

  • gimpong/AAAI25-S5VH

    The code for the paper "Efficient Self-Supervised Video Hashing with Selective State Spaces" (AAAI'25).

    Language:Python18102

  • Vitorbnc/VVERSimulator

    A Simulator for the Primary Circuit of the VVER-440/V213 Pressurized Water Reactor

    Language:C++18305

  • VITA-Group/SSM-Bottleneck

    [ICLR'25] "Understanding Bottlenecks of State Space Models through the Lens of Recency and Over-smoothing" by Peihao Wang, Ruisi Cai, Yuehao Wang, Jiajun Zhu, Pragya Srivastava, Zhangyang Wang, Pan Li

    Language:Python171321