94 Open source projects that are alternatives of or similar to bayes-filters-lib

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

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.

Repository for Eye Gaze Detection and Tracking

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

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

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

All Terrain Autonomous Quadruped

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.

Sequential Monte Carlo in python

Bayesian multi-object tracking

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

Kalman Variational Auto-Encoder

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

Python Kalman filters vectorized as Single Instruction, Multiple Data

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

Loosely coupled integration of GNSS and IMU

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

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

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

solution of exercises of the book "probabilistic robotics"

Some Python Implementations of the Kalman Filter

Robotics Toolbox for MATLAB

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

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

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

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

Javascript based Kalman filter for 1D data

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

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

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

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

real time video stabilization using Kalman Filter

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