#计算机科学#Code Repository for Liquid Time-Constant Networks (LTCs)
A Python package for probabilistic state space modeling with JAX
#计算机科学#Liquid Structural State-Space Models
Reading list for research topics in state-space models
#时序数据库#StateSpaceModels.jl is a Julia package for time-series analysis using state-space models.
#计算机科学#Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.
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 Mambul...
R code for Time Series Analysis and Its Applications, Ed 4
#计算机科学#Julia package for automatically generating Bayesian inference algorithms through message passing on Forney-style factor graphs.
R package to accompany Time Series Analysis and Its Applications: With R Examples -and- Time Series: A Data Analysis Approach Using R
#计算机科学#[CVPR'24 Spotlight] The official implementation of "State Space Models for Event Cameras"
#计算机科学#Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX
[ACM MM'24 Oral] RainMamba: Enhanced Locality Learning with State Space Models for Video Deraining
Package implementing common state-space routines.
#计算机科学#The official codebase of the paper "Chemical language modeling with structured state space sequence models"
Recall to Imagine, a model-based RL algorithm with superhuman memory. Oral (1.2%) @ ICLR 2024
#时序数据库#Multivariate Autoregressive State-Space Modeling with R
fit latent variable movement models to animal tracking data
#计算机科学#Official implementation of our ECCV paper "StretchBEV: Stretching Future Instance Prediction Spatially and Temporally"