state-space-model
There are 110 repositories under state-space-model topic.
LMD0311/PointMamba
[NeurIPS 2024] PointMamba: A Simple State Space Model for Point Cloud Analysis
ChenHongruixuan/MambaCD
[IEEE TGRS 2024] ChangeMamba: Remote Sensing Change Detection Based on Spatio-Temporal State Space Model
CompVis/zigma
A PyTorch implementation of the paper "ZigMa: A DiT-Style Mamba-based Diffusion Model" (ECCV 2024)
xmindflow/Awesome_Mamba
Computation-Efficient Era: A Comprehensive Survey of State Space Models in Medical Image Analysis
jxiw/MambaInLlama
[NeurIPS 2024] Official Repository of The Mamba in the Llama: Distilling and Accelerating Hybrid Models
proger/accelerated-scan
Accelerated First Order Parallel Associative Scan
hkproj/mamba-notes
Notes on the Mamba and the S4 model (Mamba: Linear-Time Sequence Modeling with Selective State Spaces)
kaistmm/Audio-Mamba-AuM
Official Implementation of the work "Audio Mamba: Bidirectional State Space Model for Audio Representation Learning"
SiavashShams/ssamba
[SLT'24] The official implementation of SSAMBA: Self-Supervised Audio Representation Learning with Mamba State Space Model
uzh-rpg/ssms_event_cameras
[CVPR'24 Spotlight] The official implementation of "State Space Models for Event Cameras"
ChunjingXiao/DiffAD
Imputation-based Time-Series Anomaly Detection with Conditional Weight-Incremental Diffusion Models, KDD 2023
maklachur/Mamba-in-Computer-Vision
Mamba in Vision: A Comprehensive Survey of Techniques and Applications
Event-AHU/Medical_Image_Analysis
Foundation models based medical image analysis
Alro10/MOESP-and-N4SID
Subspace methods for MIMO system identification
ComputationalPsychiatry/pyhgf
PyHGF: A neural network library for predictive coding
ScaledFoundations/MatMamba
Code and pretrained models for the paper: "MatMamba: A Matryoshka State Space Model"
rbitr/llm.f90
LLM inference in Fortran
Eric-Bradford/SDD-GP-MPC
This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).
Eden-Kramer-Lab/replay_trajectory_classification
State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data
qu-gg/torch-neural-ssm
Neural State-Space Models and Latent Dynamics Functions in PyTorch for High-Dimensional Forecasting
weirayao/leap
LEAP is a tool for discovering latent temporal causal relations with gradient-based neural network.
Event-AHU/Mamba_FETrack
[PRCV-2024] State Space Model based Frame-Event Tracking
compops/pmh-tutorial
Source code and data for the tutorial: "Getting started with particle Metropolis-Hastings for inference in nonlinear models"
EEA-sensors/parallel-non-linear-gaussian-smoothers
Companion code in JAX for the paper Parallel Iterated Extended and Sigma-Point Kalman Smoothers.
Event-AHU/MambaEVT
Event stream based visual object tracking using Mamba/State Space Model
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".
xiaojieli0903/Mamba-FSCIL
Official repository of ”Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for Few-Shot Class-Incremental Learning"
Vitorbnc/VVERSimulator
A Simulator for the Primary Circuit of the VVER-440/V213 Pressurized Water Reactor
robinovitch61/hotstuff
theleo.zone/thermal-model source code (formerly thermalmodel.com)
ddegras/switch-ssm
Markov-Switching State-Space Models
PAN083/MambaSCI
[NeurIPS 2024] MambaSCI: Efficient Mamba-UNet for Quad-Bayer Patterned Video Snapshot Compressive Imaging
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"
map-filters/stochasticMaps
Couplings for nonlinear ensemble filtering
catniplab/vjf
Variational Joint Filtering
Eden-Kramer-Lab/replay_classification
State space models for categorization of replay content from multiunit spiking activity. Deng et al. 2016
junhaobearxiong/Counterfactual-Prediction
State space model + data pipeline to generate counterfactual time series trajectories on multiple clinical signals, used to evaluate the utility of counterfactual features in sepsis prediction