Monte Carlo Localization using Particle Filters for autonomous robot navigation. Implements Bayesian inference and probabilistic state estimation for mobile robot localization with landmark-based sensing. Demonstrates Bayesian filtering, sensor fusion, and uncertainty quantification for mobile robot pose estimation.

Empowering knowledge for every students

This is a new Minecraft launcher that is currently in development. It is designed to be a modern, fast and efficient launcher. It is written in Rust. Aims to be a Reproducible Minecraft Workspace Manager.

C# bindings for the MCL library

A a Python program for Markov Clustering (MCL) that supports not only dense matrices (to be automatically converted to CSR format) but also sparse matrices (can read Matrix Market mtx files). The convergence process can also be reproduced using the logger protocol.

Simple lightweight launcher "legacy" for Minecraft java edition

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A high-performance MCP (Model Context Protocol) vector database implemented in Ada SPARK, designed to leverage Ada's strong typing, formal verification capabilities, and built-in concurrency features for safe and reliable vector operations.

Equivalent Exchange/ProjectE for Minetest Game and MineClone2/Mineclonia

A MCL simulation implementation in Zig using Raylib

MCL, the Markov Cluster algorithm, also known as Markov Clustering, is a method and program for clustering weighted or simple networks, a.k.a. graphs.

A 2D navigation metapackage for AMR (Autonomous Mobile Robot)

ROS implementation of emcl (mcl with expansion resetting)

MIT Copyleft License

Power Strip and Smart Plug home assistant custom component for Revogi based devices

6D Monte Carlo Localization in 3D TSDF maps

Mobile Industrial Robots & ROS 2 Workshop – Al-Hussein Technical University, Jordan.

Mirror of https://gitlab.gicp.es/safehorizon/pygroupsig

A wrapper of herumi/mcl in Swift

Monte Carlo Localization Library for FTC