Structured state space sequence models
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Updated
Jul 17, 2024 - Jupyter Notebook
Structured state space sequence models
Code Repository for Liquid Time-Constant Networks (LTCs)
State Space Models library in JAX
R code for Time Series Analysis and Its Applications, Ed 4
Liquid Structural 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
Package implementing common state-space routines.
Julia package for automatically generating Bayesian inference algorithms through message passing on Forney-style factor graphs.
Multivariate Autoregressive State-Space Modeling with R
Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.
StateSpaceModels.jl is a Julia package for time-series analysis using state-space models.
Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, 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 (Spotlight).
Recall to Imagine, a model-based RL algorithm with superhuman memory. Oral (1.2%) @ ICLR 2024
The official codebase of the paper "Chemical language modeling with structured state space sequence models"
Simulates the dynamics of a Reaction Wheel Inverted Pendulum with python.
[ACM MM'24 Oral] RainMamba: Enhanced Locality Learning with State Space Models for Video Deraining
A toolkit for developing foundation models using Electronic Health Record (EHR) data.
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