101 Open source projects that are alternatives of or similar to sf-pkg

State estimation and filtering algorithms in Go

Cool Vision projects

Contains coursera robotics specialization assignment codes

Udacity Self-Driving Car Engineer Nanodegree projects.

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

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

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

Bayesian multi-object tracking

PF: a header only template library for fast particle filtering!

Python Kalman filters vectorized as Single Instruction, Multiple Data

Udacity Self-Driving Car Engineer Nanodegree. Project: Extended Kalman Filters

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

Kalman Variational Auto-Encoder

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

Loosely coupled integration of GNSS and IMU

This package includes basic tools for time series analysis, compatible with incomplete data.

Free and Open Source Group Voice chat music player for telegram ❤️ with button support youtube playback support

solution of exercises of the book "probabilistic robotics"

Some Python Implementations of the Kalman Filter

Unscented Kalman Filter library for state and parameter estimation

Robotics Toolbox for MATLAB

Mad Location Manager is a library for GPS and Accelerometer data "fusion" with Kalman filter

A collection of some of the neat math and physics tricks that I've collected over the last few years.

An in-depth step-by-step tutorial for implementing sensor fusion with robot_localization! 🛰

IMU - FreeIMU Library Zero Drift, Altitude & LSM303 Heading Stability

An workflow in factor-based equity trading, including factor analysis and factor modeling. For well-established factor models, I implement APT model, BARRA's risk model and dynamic multi-factor model in this project.

Fusing GPS, IMU and Encoder sensors for accurate state estimation.

Repository for Eye Gaze Detection and Tracking

Kalman filter to estimate altitude and climbrate(sinkrate) by fusing altitude and acceleration sensor data

Sequential Monte Carlo in python

StateSpaceModels.jl is a Julia package for time-series analysis using state-space models.

Multiple Object Tracker, Based on Hungarian algorithm + Kalman filter.

Depth-Based Bayesian Object Tracking Library

Codera Quant is a Java framework for algorithmic trading strategies development, execution and backtesting via Interactive Brokers TWS API or other brokers API

🚀 SLAM for autonomous planetary rovers with global localization

Particle filtering and sequential parameter inference in Python

real time video stabilization using Kalman Filter

Lightweight Python library for adding real-time 2D object tracking to any detector.

A stock backtesting engine written in modern Java. And a pairs trading (cointegration) strategy implementation using a bayesian kalman filter model

“ Hey there 👋 I'm Daisy „ PTB Group management bot with some extra features

An unscented Kalman Filter implementation for fusing lidar and radar sensor measurements.

Counting people, dog and bicycle using SSD detection and tracking.

数学知识点滴积累 矩阵 数值优化 神经网络反向传播 图优化 概率论 随机过程 卡尔曼滤波 粒子滤波 数学函数拟合

HCKalmanFilter is Swift implementation of Kalman filter algorithm intended to solve problem with GPS tracking

Collection of notebooks about quantitative finance, with interactive python code.

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! :)

Javascript based Kalman filter for 1D data

A multi-object tracking component. Works in the conditions where identification and classical object trackers don't (e.g. shaky/unstable camera footage, occlusions, motion blur, covered faces, etc.). Works on any object despite their nature.

Using Kalman Filter to Predict Corona Virus Spread

A Julia implementation of basic tools for time series analysis compatible with incomplete data.

Library for tracking-by-detection multi object tracking implemented in python

A unique time series library in Python that consists of Kalman filters (discrete, extended, and unscented), online ARIMA, and time difference model.

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

Kalman Filter implementation in Python using Numpy only in 30 lines.

R code for Time Series Analysis and Its Applications, Ed 4

A Particle Filtering over Sets Approach to Multi-Object Tracking

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.

R package for statistical inference using partially observed Markov processes

All Terrain Autonomous Quadruped