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吕昱's Projects

mxgraph icon mxgraph

mxGraph is a fully client side JavaScript diagramming library

nk-missile-tests icon nk-missile-tests

An interactive visualization of flight tests of all missiles launched by North Korea from 1984 to 2022

nlp-tutorial icon nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

noahgameframe icon noahgameframe

A fast, scalable, distributed game server engine/framework for C++, include the actor library, network library, can be used as a real time multiplayer game engine ( MMO RPG/MOBA ), which support C#/Lua script/ Unity3d, Cocos2dx and plan to support Unreal.

opcclient icon opcclient

OPC Client code which is intended for python.

open-semantic-visual-graph-explorer icon open-semantic-visual-graph-explorer

Open Semantic Visual Linked Data Graph Explorer: Open Source tool (web app) and user interace (UI) for discovery, exploration and visualization of direct and indirect connections between named entities like persons, organizations, locations & concepts from thesarus or ontologies within your documents and knowledgegraph

optaplanner icon optaplanner

AI constraint solver in Java to optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling, conference scheduling and other planning problems.

pcl icon pcl

Point Cloud Library (PCL)

phmms icon phmms

physical equipments modeling and health management.

pibt2 icon pibt2

Priority Inheritance with Backtracking for Iterative Multi-agent Path Finding (AIJ-22)

pinns icon pinns

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

pogema icon pogema

POGEMA stands for Partially-Observable Grid Environment for Multiple Agents. This is a grid-based environment that was specifically designed to be flexible, tunable and scalable. It can be tailored to a variety of PO-MAPF settings.

prog_algs icon prog_algs

The Prognostic Algorithm Package is a python framework for model-based prognostics (computation of remaining useful life) of engineering systems, and provides a set of algorithms for state estimation and prediction, including uncertainty propagation. The algorithms take as inputs prognostic models (from NASA's Prognostics Model Package), and perform estimation and prediction functions. The library allows the rapid development of prognostics solutions for given models of components and systems. Different algorithms can be easily swapped to do comparative studies and evaluations of different algorithms to select the best for the application at hand.

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