There are 1 repository under state-space-model topic.
PointMamba: A Simple State Space Model for Point Cloud Analysis
ChangeMamba: Remote Sensing Change Detection Based on Spatio-Temporal State Space Model
Notes on the Mamba and the S4 model (Mamba: Linear-Time Sequence Modeling with Selective State Spaces)
Accelerated First Order Parallel Associative Scan
A Comprehensive Survey of Mamba in Deep Learning
Imputation-based Time-Series Anomaly Detection with Conditional Weight-Incremental Diffusion Models, KDD 2023
Subspace methods for MIMO system identification
State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data
This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).
Source code and data for the tutorial: "Getting started with particle Metropolis-Hastings for inference in nonlinear models"
Companion code in JAX for the paper Parallel Iterated Extended and Sigma-Point Kalman Smoothers.
Neural State-Space Models and Latent Dynamics Functions in PyTorch for High-Dimensional Forecasting
Official PyTorch implementation of the CVPR 2024 paper: State Space Models for Event Cameras.
A Simulator for the Primary Circuit of the VVER-440/V213 Pressurized Water Reactor
Markov-Switching State-Space Models
theleo.zone/thermal-model source code (formerly thermalmodel.com)
State space models for categorization of replay content from multiunit spiking activity. Deng et al. 2016
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
Couplings for nonlinear ensemble filtering
Julia package for KF and EKF parameter estimation using Automatic Differentiation
Improve the Attentive State-Space Model by transformer
R package pmhtutorial available from CRAN.
Simple implementations of long-range sequence models (LRU, S5, S4, and more).
ML Coursework focused on solving Computational Finance and Risk Assessment models
A flexible data simulator for Kafka and OpenShift using state-space models
Controladores y observadores de circuito RC-RC en plataforma Arduino
Code for the nested hybrid filters (NHFs), including four different implementations using sequential Monte Carlo (SMC), sequential quasi-Monte Carlo (SQMC), extended Kalman filters (EKFs) and ensemble Kalman filters (EnKFs). I have also included the implementation of the nested particle filter (NPF) and the two-stage filter to compare performance.
A Julia package that provides high-level abstractions for simulating and deploying stochastic filters