Second-order iterated smoothing algorithms for state estimation
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Updated
May 14, 2024 - Python
Second-order iterated smoothing algorithms for state estimation
A toolkit for developing foundation models using Electronic Health Record (EHR) data.
R package to accompany Time Series Analysis and Its Applications: With R Examples -and- Time Series: A Data Analysis Approach Using R
Code supplement for "Unsupervised multimodal modeling of cognitive and brain health trajectories for early dementia prediction"
Translating between two sets of notation for Kalman filters
State Space Models library in JAX
fit latent variable movement models to animal tracking data
Official PyTorch implementation of the CVPR 2024 paper: State Space Models for Event Cameras.
Recall 2 Imagine, a World Model with superhuman memory. Oral (1.2%) @ ICLR 2024
Awesome Mamba Papers: A Curated Collection of Research Papers , Tutorials & Blogs
List of papers related to State Space Models (Mamba) in Vision.
Structured state space sequence models
Multivariate Autoregressive State-Space Modeling with R
Switching linear dynamical systems (SLDS) models in JAX
Liquid Structural State-Space Models
Create dynamic factor models in R with the dfms package
Create Multivariate Autoregressive State-Space Models with the MARSS R package
Gradient-informed particle MCMC methods
Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.
Simulates the dynamics of a Reaction Wheel Inverted Pendulum with python.
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