31 Open source projects that are alternatives of or similar to pf

Jupyter notebooks with examples of statistical methods and analyses using R.

🚀 SLAM for autonomous planetary rovers with global localization

Multilingual automatic text summarizer using statistical approach and extraction

Julia package for fitting mixed-effects models with flexible random/repeated covariance structure.

An introductory statistics course for social scientists, using Stata

Scripts, tools and example data for mapping wetland ecosystems using data driven R statistical methods like Random Forests and open source GIS

Contains coursera robotics specialization assignment codes

Short introduction to Bayesian statistical modelling with PyMC3

PyForecast is a statistical modeling tool used by Reclamation water managers and reservoir operators to train and build predictive models for seasonal inflows and streamflows. PyForecast allows users to make current water-year forecasts using models developed with the program.

Generic Sensor Fusion Package for ROS

Pair Trading View - .NET application for visual analysis of synthetic financial instruments based on statistical models.

A Particle Filtering over Sets Approach to Multi-Object Tracking

Statistical Models with Regularization in Pure Julia

Decentralized, Secure, Verifiable System for Statistical Queries and Machine Learning on Distributed Datasets

Udacity Self-Driving Car Engineer Nanodegree projects.

Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.

Cool Vision projects

Implementation of A Random Finite Set Approach for Dynamic Occupancy Grid Maps with Real-Time Application

Particle filtering and sequential parameter inference in Python

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

This repository contains the solutions to all the exercises for the MOOC about SLAM and PATH-PLANNING algorithms given by professor Claus Brenner at Leibniz University. This repository also contains my personal notes, most of them in PDF format, and many vector graphics created by myself to illustrate the theoretical concepts. Hope you enjoy it! :)

This is a 'hands-on' tutorial for the RIKEN International School on Data Assimilation (RISDA2018).

Source code and data for the tutorial: "Getting started with particle Metropolis-Hastings for inference in nonlinear models"

R package for statistical inference using partially observed Markov processes

Computer Vision model to detect face in the first frame of a video and to continue tracking it in the rest of the video. This is implemented in OpenCV 3.3.0 and Python 2.7

Implemented a C++ particle filter for real-time vehicle localization with only current visual observations and a map.

State estimation and filtering algorithms in Go

calibrate ETAS, simulate using ETAS, estimate completeness magnitude & magnitude frequency distribution

Gadget is the Globally applicable Area Disaggregated General Ecosystem Toolbox

A Julia package for estimating ARMA-GARCH models.

A High Performance Unified Framework for Geostatistics on Manycore Systems.