bayesian-filtering

There are 14 repositories under bayesian-filtering topic.

  • mint-lab/filtering_tutorial

    An Intuitive tutorial on Bayesian filtering

    Language:Python27305

  • ZehaoDou-official/FPS-SMC-2023

    Official Pytorch repository for "Diffusion Posterior Sampling for Linear Inverse Problem Solving: A Filtering Perspective", where FPS (Filtering Posterior Sampling) as well as its extension FPS-SMC are proposed.

    Language:Python25206
  • Discriminative-Kalman-Filter

    burkh4rt/Discriminative-Kalman-Filter

    Code supplement for "The Discriminative Kalman Filter for Bayesian Filtering with Nonlinear and Nongaussian Observation Models"

    Language:MATLAB10208

  • catniplab/vjf

    Variational Joint Filtering

    Language:Python8312

  • burkh4rt/Filtered-Stochastic-Newton

    Code supplement for "Discriminative Bayesian Filtering Lends Momentum to the Stochastic Newton Method for Minimizing Log-Convex Functions"

    Language:Python3101

  • simsurace/StochasticFilters.jl

    A Julia package that provides high-level abstractions for simulating and deploying stochastic filters

    Language:Julia3200

  • burkh4rt/DKF-defense-presentation

    These slides were presented at my dissertation defense (Division of Applied Mathematics, Brown University, 23 May 2018).

    Language:TeX2100

  • burkh4rt/DKF-dissertation

    XeLaTeX for "A Discriminative Approach to Bayesian Filtering with Applications to Human Neural Decoding"

    Language:TeX2101

  • burkh4rt/DKF-implementations

    This repository contains code implementations for the Discriminative Kalman Filter.

    Language:Python2101

  • biaslab/IWAI2024-ambiguity

    Expected free energy minimization with approximations to nonlinear observation functions

    Language:Jupyter Notebook1101

  • burkh4rt/brown_kobe_exchange_2016

    code for neural filtering project

    Language:TeX1301

  • spsingh37/Bayesian-filtering-and-SLAM

    This is a comprehensive project focused on implementing popular algorithms for state estimation, robot localization, 2D mapping, and 2D & 3D SLAM. It utilizes various types of filters, including the Kalman Filter, Extended Kalman Filter, Unscented Kalman Filter, and Particle Filter.

    Language:Jupyter Notebook1100

  • CesarCaramazana/BayesianFiltering

    A Kalman filter and Particle Filter implementation for Gaussian object tracking

    Language:MATLAB0100

  • Yskandar/computational_robotics

    The workspace for our computational robotics class. I explored different techniques such as Bayesian filtering in a Gridworld environment, Graph Based Motion Planning on a chess board, Kalman Filtering... Work in progress !

    Language:Python0100