Sirius-1110

Sirius-1110's Stars

• microsoft/calculator

  Windows Calculator: A simple yet powerful calculator that ships with Windows

  Language:C++29.7k5911.1k5.4k

• maotoumao/MusicFreeDesktop

  插件化、定制化、无广告的免费音乐播放器

  Language:TypeScript3.4k20167305

• atb033/multi_agent_path_planning

  Python implementation of a bunch of multi-robot path-planning algorithms.

  Language:Python1.1k1711262

• whoenig/libMultiRobotPlanning

  Library with search algorithms for task and path planning for multi robot/agent systems

  Language:C++8182329218

• maotoumao/MusicFreePlugins

  MusicFree播放插件

  Language:TypeScript7551154165

• Operations-Research-Science/Ebook-An_introduction_to_robust_optimization

  37871085

• Davidham3/STSGCN

  AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting

  Language:Python35061898

• luukvdmeer/sfnetworks

  Tidy Geospatial Networks in R

  Language:R3471517920

• baopng/NSGA-II

  Implementation of NSGA-II algorithm in form of a python library.

  Language:Python1835748

• oscarperpinan/spacetime-vis

  Sources of the book "Displaying time series, spatial and space-time data with R" (1st Edition)

  Language:R13236492

• uctb/ST-Paper

  Spatio-Temporal Prediction Paper List

  1181110

• PathPlanning/AA-SIPP-m

  Algorithm for prioritized multi-agent path finding (MAPF) in grid-worlds. Moves into arbitrary directions are allowed (each agent is allowed to follow any-angle path on the grid). Timeline is continuous, i.e. action durations are not explicitly discretized into timesteps. Different agents' size and moving speed are supported. Planning is carried out in (x, y, \theta) configuration space, i.e. agents' orientation are taken into account.

  Language:C++10781238

• quantumiracle/Reinforcement_Learning_for_Traffic_Light_Control

  Apply deep reinforcement learning methods including DQN, DDPG for traffic light control in simulation (discrete environment), to prove the 'Green Wave' phenomenon in intelligent traffic system.

  Language:Python816327

• RahmanKhorramfar91/Cpp-Cplex-Tutorial

  A tutorial on using C++/Cplex for OR problems. The tutorial is intended to be useful for every OR practitioner with an intermediary knowledge of coding.

  Language:C++361116

• Python-SIP/sip

  A Python bindings generator for C/C++ libraries

  Language:Python3513313

• WheelChan/Multi-Agent-Path-Finding

  Goal of project is to write programs that will allow multiple agents to find optimal paths from their start location to their goal location such that all agents are able to move simultaneously. Various algorithms will be explored such as Prioritized Planning, Conflict-Based Search (CBS), A* Search. Additionally, a paper that describes Safe Interval Path Planning (SIPP) provided the inspiration for writing of SIPP versions of Prioritized Planning and CBS.

  Language:Python28111

• Logan-Shi/AGV

  ackermann steering. 2019华为无人车大赛冠军代码

  Language:C++25207

• marmotlab/ME5406_exampleSAPP

  Single-Agent Path Planning (SIPP) DRL example

  Language:Python25014

• jiweiqi/covid19-mobility

  Projection of Future Mobility and Fuel Demand using Machine Learning

  Language:HTML2441014

• polinko13/CBS

  CBS, MA-CBS algorithms and evaluation of these algorithms.

  Language:Jupyter Notebook23117

• rcpacini/mingw-w64

  mingw-w64 installers

  21108

• becarioprecario/INLAMSM

  Multivariate spatial models for lattice data with INLA

  Language:R20574

• eartser/sipp-mapf

  Prioritized Multi-Agent Path Finding using Safe Interval Path Planning (SIPP) and modifications

  Language:Python16121

• msaudulhassan/mapf

  Python implementation of Space-time A*, Prioritized Planning, & Conflict-based Search for Multi-agent Path Finding (MAPF)

  Language:Python15113

• jiawlu/Time_Dependent_VRP_BnP

  Language:C++10102

• Summer142857/unsignalized-junction-control

  FCFS and Planning Based strategy using sumo and TraCI interface

  Language:Python8220

• agila5/multivariate-analysis-car-crashes

  This repository is associated with the paper "Multivariate hierarchical analysis of car crashes data considering a spatial network lattice" by Andrea Gilardi, Jorge Mateu, Riccardo Borgoni, and Robin Lovelace

  Language:R7300

• chiguozi666/NSGA-II

  this project use java to implement NSGA-II,and use swing to draw the solution of ZTD1 function.

  Language:Java320

• cran/spTimer

  :exclamation: This is a read-only mirror of the CRAN R package repository. spTimer — Spatio-Temporal Bayesian Modelling

  Language:C21

• YANI-ALT/DRO_BTechProject

  The work was done as part of my Undergraduate Final Year Project and is greatly influenced by "Wasserstein Distributionally Robust Learning. Shafieezadeh Abadeh, SorooshKuhn, Daniel (Dir.), EPFL, Lausanne, 2020".

  Language:Python20