Written by referring research papers and official documentation
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Updated
Jan 27, 2021
Written by referring research papers and official documentation
This repository contains simple implementations for different Bayesian filters (Kalman, Extended Kalman, Unscented Kalman, and Particle filters)
1D localization using Bayesian Filter to locate a robot in 1D space and represent uncertainty in robot motion
Collection of Java based algorithms on numerics, statistics, control etc
Chef cookbook to install and configure SpamAssassin.
A practical study on bayesian estimation using Kalman Filter (Linear and Extended) and Particle Filter (SIR)
High-performance localization software for autonomous vehicles. A particle filter is combined with a map to localize a vehicle.
Comparison of Stochastic Forecasting Methods
Taha
A lightweight particle filter library for the ROS context.
PyHGF: A neural network library for predictive coding
Bayesian filtering on disperse curve using rayleigh waves
A flexible, modern, C++ recursive Bayesian estimation library.
Data Assimilation with Python: a Package for Experimental Research
Computer vision based vehicle detection and tracking using Tensorflow Object Detection API and Kalman-filtering
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