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GitHub topics: bayesian-filtering

HaSerZin/trade_political_distance_wto

🌍 Model political distance and trade dynamics using a quantitative framework to enhance understanding of international trade relationships.

Language: Jupyter Notebook - Size: 1.38 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 1 - Forks: 0

ArhamAzeem/casimir-nanopositioning-platform

Discover the Casimir Nanopositioning Platform, featuring quantum-enhanced calculations and a multi-physics digital twin for precise positioning. 🌌🔧

Language: Python - Size: 776 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

PaulEdwardMurariu/CIS-479---HMM-Algorithm---Robot-Localization

Hidden Markov Model (HMM) based robot localization algorithm in Python — implements Bayesian filtering for position estimation using uncertain motion and sensor data.

Language: Python - Size: 786 KB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 0 - Forks: 0

mariospar/kalmanverse

A comprehensive deep dive into Kalman Filtering — from linear basics to advanced nonlinear methods. Based on my thesis research, this site collects derivations, reviews, and resources for students, engineers, and researchers.

Language: MATLAB - Size: 25.2 MB - Last synced at: 27 days ago - Pushed at: 28 days ago - Stars: 1 - Forks: 0

chirindaopensource/trade_political_distance_wto

End-to-End Python econometric pipeline for modeling geopolitical risk in international trade using advanced Bayesian filtering, high-dimensional fixed effects, and split-panel jackknife inference. Replicates Hardwick's (2025) methodology with full robustness testing and automated reporting.

Language: Jupyter Notebook - Size: 119 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

catniplab/vjf

Variational Joint Filtering

Language: Python - Size: 40.8 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 8 - Forks: 4

arcticoder/casimir-nanopositioning-platform

Research-stage results; see docs/ for validation, benchmarks, and uncertainty notes.

Language: Python - Size: 831 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

heyjianjing/time_series

Some notes on algorithms for time series and sequential data

Language: Jupyter Notebook - Size: 106 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

biaslab/IWAI2024-ambiguity

Expected free energy minimization with approximations to nonlinear observation functions

Language: Jupyter Notebook - Size: 92.4 MB - Last synced at: 2 months ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 1

mint-lab/filtering_tutorial

An Intuitive tutorial on Bayesian filtering

Language: Python - Size: 3.17 MB - Last synced at: 7 months ago - Pushed at: over 1 year ago - Stars: 33 - Forks: 6

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 Notebook - Size: 245 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

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: Python - Size: 24.8 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 19 - Forks: 4

burkh4rt/DKF-implementations

This repository contains code implementations for the Discriminative Kalman Filter.

Language: Python - Size: 993 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 1

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: Python - Size: 12.3 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

ZehaoDou-official/filtering-posterior-sampling Fork of DPS2022/diffusion-posterior-sampling

Official pytorch repository for "Diffusion Posterior Sampling for Linear Inverse Problem Solving: A Filtering Perspective"

Language: Python - Size: 15.8 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

CesarCaramazana/BayesianFiltering

A Kalman filter and Particle Filter implementation for Gaussian object tracking

Language: MATLAB - Size: 323 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

burkh4rt/Filtered-Stochastic-Newton

We apply sequential Bayesian inference with a discriminatively specified observation model to the subsampled gradients and Hessians used by the stochastic Newton method for online optimization.

Language: Python - Size: 20.5 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 1

simsurace/StochasticFilters.jl

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

Language: Julia - Size: 21.5 KB - Last synced at: 8 months ago - Pushed at: about 3 years ago - Stars: 3 - Forks: 0

burkh4rt/Discriminative-Kalman-Filter

companion code for "The Discriminative Kalman Filter for Bayesian Filtering with Nonlinear and Nongaussian Observation Models"

Language: MATLAB - Size: 6.34 MB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 9 - Forks: 7

burkh4rt/DKF-dissertation

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

Language: TeX - Size: 15.9 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 1

burkh4rt/DKF-defense-presentation

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

Language: TeX - Size: 18.8 MB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 0

burkh4rt/brown_kobe_exchange_2016

code for neural filtering project

Language: TeX - Size: 72 MB - Last synced at: over 2 years ago - Pushed at: about 9 years ago - Stars: 1 - Forks: 1

Related Keywords
bayesian-filtering 22 particle-filter 7 kalman-filter 6 neural-decoding 5 discriminative-learning 4 machine-learning 4 recursive-bayesian-estimation 4 applied-mathematics 3 brown-university 3 python 3 precision-manufacturing 2 quantum-control 2 quantum-field-theory 2 quantum-physics 2 thermal-compensation 2 uncertainty-quantification 2 political-science 2 political-economy 2 robotics 2 international-trade 2 state-estimation 2 state-space-model 2 filtering 2 hidden-markov-model 2 gravity-model 2 gdelt 2 unscented-kalman-filter 2 econometrics 2 computational-economics 2 ppml 2 quantitative-analysis 2 reproducible-research 2 risk-modeling 2 state-space 2 trade-data 2 trade-policy 2 wto 2 bayesian-estimation 2 casimir-effect 2 metamaterials 2 casimir-force 2 digital-twin 2 monte-carlo 2 multi-physics 2 precision-control 2 polymer-quantization 2 nanopositioning 2 interferometry 2 motion-planning 1 kalman-filtering 1 computational-robotics 1 posterior-sampling 1 diffusion-models 1 target-tracking 1 pose-graph-slam 1 occupancy-grid-map 1 invariant-extended-kalman-filter 1 diffusion-model 1 generative-model 1 bayesian-methods 1 bayesian-statistics 1 neural-computation 1 matlab 1 object-tracking 1 momentum-in-optimization 1 sequential-bayesian-inference 1 stochastic-newton-method 1 bayesian-inference 1 continuous-time 1 discrete-time 1 filtering-algorithm 1 stochastic-processes 1 artificial-intelligence 1 hmm 1 localization 1 control-systems 1 estimation-theory 1 nonlinear-filtering 1 tobit 1 geopolitical-risk 1 panel-data 1 gaussian-processes 1 online-learning 1 rbf-network 1 system-identification 1 variational-bayes 1 real-time-systems 1 changepoint-detection 1 conjugate-prior 1 cubature-kaman-filter 1 expectation-maximization 1 optimal-tracking 1 rauch-tung-striebel 1 sequential-importance-sampling 1 sigma-point-kalman-filter 1 active-inference 1 nonlinearity 1 ekf 1 ukf 1 2d-slam 1