Structured state space sequence models
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Updated
Mar 21, 2024 - Jupyter Notebook
Structured state space sequence models
Code Repository for Liquid Time-Constant Networks (LTCs)
State Space Models library in JAX
StateSpaceModels.jl is a Julia package for time-series analysis using state-space models.
Liquid Structural State-Space Models
Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.
R code for Time Series Analysis and Its Applications, Ed 4
Julia package for automatically generating Bayesian inference algorithms through message passing on Forney-style factor graphs.
Reading list for research topics in state-space models
R package to accompany Time Series Analysis and Its Applications: With R Examples -and- Time Series: A Data Analysis Approach Using R
Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX
Package implementing common state-space routines.
Official PyTorch implementation of the CVPR 2024 paper: State Space Models for Event Cameras (Spotlight).
Multivariate Autoregressive State-Space Modeling with R
Recall 2 Imagine, a World Model with superhuman memory. Oral (1.2%) @ ICLR 2024
Official implementation of our ECCV paper "StretchBEV: Stretching Future Instance Prediction Spatially and Temporally"
fit latent variable movement models to animal tracking data
List of papers related to State Space Models (Mamba) in Vision.
Awesome Mamba Papers: A Curated Collection of Research Papers , Tutorials & Blogs
Gradient-informed particle MCMC methods
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