Computer vision based vehicle detection and tracking using Tensorflow Object Detection API and Kalman-filtering

Data Assimilation with Python: a Package for Experimental Research

PyHGF: A neural network library for predictive coding

A flexible, modern, C++ recursive Bayesian estimation library.

High-performance localization software for autonomous vehicles. A particle filter is combined with a map to localize a vehicle.

Taha

Bayesian filtering on disperse curve using rayleigh waves

A lightweight particle filter library for the ROS context.

Kalman Filters implemented in .NET

A practical study on bayesian estimation using Kalman Filter (Linear and Extended) and Particle Filter (SIR)

This repository contains simple implementations for different Bayesian filters (Kalman, Extended Kalman, Unscented Kalman, and Particle filters)

Chef cookbook to install and configure SpamAssassin.

Go implementation of a Bayesian spam filter inspired by the influential paper "Spam Filtering with Naive Bayes - Which Naive Bayes?" (Metsis et al., CEAS 2006).

Written by referring research papers and official documentation

Collection of Java based algorithms on numerics, statistics, control etc

IMU-based indoor localization project using Raspberry Pi and Sense HAT. Implementation and comparison of Bayesian and Particle filters for real-time step tracking on a known map, and MQTT data streaming architecture for sensor communication and system monitoring.

Particle Filters implemented in .NET

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.