state-space-models
There are 76 repositories under state-space-models topic.
state-spaces/s4
Structured state space sequence models
raminmh/liquid_time_constant_networks
Code Repository for Liquid Time-Constant Networks (LTCs)
probml/dynamax
A Python package for probabilistic state space modeling with JAX
raminmh/liquid-s4
Liquid Structural State-Space Models
AvivBick/awesome-ssm-ml
Reading list for research topics in state-space models
LAMPSPUC/StateSpaceModels.jl
StateSpaceModels.jl is a Julia package for time-series analysis using state-space models.
OpenTabular/DeepTabular
Mambular is a Python package that simplifies tabular deep learning by providing a suite of models for regression, classification, and distributional regression tasks. It includes models such as Mambular, TabM, FT-Transformer, TabulaRNN, TabTransformer, and tabular ResNets.
AaltoML/BayesNewton
Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.
nickpoison/tsa4
R code for Time Series Analysis and Its Applications, Ed 4
biaslab/ForneyLab.jl
Julia package for automatically generating Bayesian inference algorithms through message passing on Forney-style factor graphs.
nickpoison/astsa
R package to accompany Time Series Analysis and Its Applications: With R Examples -and- Time Series: A Data Analysis Approach Using R
uzh-rpg/ssms_event_cameras
[CVPR'24 Spotlight] The official implementation of "State Space Models for Event Cameras"
TonyHongtaoWu/RainMamba
[ACM MM'24 Oral] RainMamba: Enhanced Locality Learning with State Space Models for Video Deraining
AaltoML/kalman-jax
Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX
FRBNY-DSGE/StateSpaceRoutines.jl
Package implementing common state-space routines.
molML/s4-for-de-novo-drug-design
The official codebase of the paper "Chemical language modeling with structured state space sequence models"
chandar-lab/Recall2Imagine
Recall to Imagine, a model-based RL algorithm with superhuman memory. Oral (1.2%) @ ICLR 2024
atsa-es/MARSS
Multivariate Autoregressive State-Space Modeling with R
ianjonsen/aniMotum
fit latent variable movement models to animal tracking data
FarnoushRJ/MambaLRP
[NeurIPS 2024] Official implementation of the paper "MambaLRP: Explaining Selective State Space Sequence Models" 🐍
kaanakan/stretchbev
Official implementation of our ECCV paper "StretchBEV: Stretching Future Instance Prediction Spatially and Temporally"
nttcslab-sp/mamba-diarization
Official repository for Mamba-based Segmentation Model for Speaker Diarization
VectorInstitute/odyssey
A toolkit for developing foundation models using Electronic Health Record (EHR) data.
vgthengane/Awesome-Mamba-in-Vision
List of papers related to State Space Models (Mamba) in Vision.
BorgwardtLab/NeuralWalker
Official Pytorch implementation of NeuralWalker (ICLR 2025)
weitunglin/pixmamba
Official code for PixMamba
icon-lab/DenoMamba
Official implementation of DenoMamba: A fused state-space model for low-dose CT denoising
HITESHLPATEL/Mamba-Papers
Awesome Mamba Papers: A Curated Collection of Research Papers , Tutorials & Blogs
uzh-rpg/gg_ssms
[CVPR'25 Highlight] The official implementation of "GG-SSMs: Graph-Generating State Space Models"
icon-lab/MambaRoll
Official implementation of MambaRoll: A Physics-Driven Autoregressive State Space Model for Medical Image Reconstruction (https://arxiv.org/abs/2412.09331)
neuroagents-lab/PyTorchTNN
Temporal Neural Networks
B-Paweekorn/Reaction-wheel-inverted-pendulum
Simulates the dynamics of a Reaction Wheel Inverted Pendulum with python.
AdrienCorenflos/particle_mala
Gradient-informed particle MCMC methods
PEARL-Monash/Modularized-Small-Signal-Modeling-of-Grid-Forming-Inverters
Small-signal modeling of Grid-Forming Inverters
gionikola/DynamicFactorModeling.jl
Julia package for simulating and estimating multi-level/hierarchical dynamic factor models (HDFMs).
martenlienen/unhippo
Uncertainty-aware Initialization for State Space Models, ICML 2025