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

Data Assimilation with Python: a Package for Experimental Research

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

PyHGF: A neural network library for predictive coding

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)

Chef cookbook to install and configure SpamAssassin.

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

Comparison of Stochastic Forecasting Methods

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

Written by referring research papers and official documentation

Particle Filters implemented in .NET