Particle Filter Python Packages

smcx

Sequential inference for state-space models in JAX: Kalman-family filters and smoothers, and SMC methods including particle filters, tempered SMC, and SMC².

particles

Sequential Monte Carlo in python

dapper

Data Assimilation with Python: a Package for Experimental Research

da-dapper

Data Assimilation with Python: a Package for Experimental Research

slam3d

Simultaneous localization and mapping (SLAM) tools in 3D

baysil

Bayesian Sequential Inference Library for State-Space Models

pyrecest

Recursive Bayesian estimation, filtering, and tracking on Euclidean spaces and manifolds in Python.

tfilterspy

Python library for implementing state-of-the-art Bayesian filtering techniques like Kalman Filters and Particle Filters.

smcjax

Sequential inference for state-space models in JAX: Kalman-family filters and smoothers, and SMC methods including particle filters, tempered SMC, and SMC².

darttool

A tool to estimate Instantaneous Reproduction Number

tfilterpy

Superseded by ubunye-ai-ecosystems/tfilterspy, which is the maintained version. Kept for the history and for anyone arriving from the original PyPI release.

marmo

Markov-like processes as one recursion over a belief algebra and a semiring: HMM, HSMM, Kalman, and particle inference behind a decidable engine dispatch.

dart-py

A tool to estimate Instantaneous Reproduction Number

trackun

A Python package for (multiple) object tracking using recursive Bayesian filtering

deepgaze

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.