Chuanbo

Chuanbo's Stars

• hoya012/awesome-anomaly-detection

  A curated list of awesome anomaly detection resources

  2.7k1315515

• TheBloodthirster/BUAA_Course_Sharing

  北京航空航天大学(北航)课程作业资料共享计划

  Language:Mathematica1.5k226297

• marlbenchmark/on-policy

  This is the official implementation of Multi-Agent PPO (MAPPO).

  Language:Python1.3k791291

• shaoxiongji/federated-learning

  A PyTorch Implementation of Federated Learning http://doi.org/10.5281/zenodo.4321561

  Language:Python1.3k1527360

• do-mpc/do-mpc

  Model predictive control python toolbox

  Language:Python96225241179

• agi-brain/xuance

  XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library

  Language:Python6051051100

• cybergalactic/MSS

  The Marine Systems Simulator (MSS) is software that supplements the textbook "Handbook of Marine Craft Hydrodynamics and Motion Control," 2nd Edition, by T. I. Fossen, published in 2021 by John Wiley & Sons Ltd.

  Language:Roff4783861162

• tinyzqh/light_mappo

  Lightweight version of MAPPO to help you quickly migrate to your local environment.

  Language:Python47812179

• randybeard/mavsim_public

  Repository for the textbook: Small Unmanned Aircraft: Theory and Practice, by Randy Beard and Tim McLain

  Language:Python456266138

• StevenLiuWen/ano_pred_cvpr2018

  Official implementation of Paper Future Frame Prediction for Anomaly Detection -- A New Baseline, CVPR 2018

  Language:Python4351670126

• cvlab-yonsei/MNAD

  An official implementation of "Learning Memory-guided Normality for Anomaly Detection" (CVPR 2020) in PyTorch.

  Language:Python336125880

• cybergalactic/PythonVehicleSimulator

  The Python Vehicle Simulator is software that supplements the textbook "Handbook of Marine Craft Hydrodynamics and Motion Control," 2nd Edition, by T. I. Fossen, published in 2021 by John Wiley & Sons Ltd.

  Language:Python199101253

• cycraig/MP-DQN

  Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"

  Language:Python1875552

• rst-tu-dortmund/teb_local_planner_tutorials

  This package contains supplementary material and examples for teb_local_planner tutorials.

  Language:Python16771296

• Theigrams/Mathematical-optimization

  数学系本科三年级《最优化理论与方法》

  Language:Mathematica1554148

• TempleRAIL/drl_vo_nav

  [T-RO 2023] DRL-VO: Learning to Navigate Through Crowded Dynamic Scenes Using Velocity Obstacles

  Language:Python1302299

• cybergalactic/FossenHandbook

  Handbook of Marine Craft Hydrodynamics and Motion Control is an extensive study of the latest research in marine craft hydrodynamics, guidance, navigation, and control (GNC) systems.

  1252114

• elena-ecn/mpc-cbf

  Model Predictive Control with discrete-time Control Barrier Functions (MPC-CBF) for a wheeled mobile robot.

  Language:Python1021419

• oxwhirl/facmac

  Language:Python875420

• StevenLiuWen/sRNN_TSC_Anomaly_Detection

  Language:Python7641025

• mathworks-robotics/modeling-and-simulation-of-an-AUV-in-Simulink

  This repository contains a variety of demonstration example models associated with the Design, Modeling and Simulation of Autonomous Underwater Vehicles webinar and video series.

  Language:MATLAB687230

• JohannesAutenrieb/MissileSimulation

  This repository contains a MATLAB/Simulink simulation software for the flight dynamic simulation of an transsonic missile system.

  Language:MATLAB664114

• oxwhirl/comix

  Language:Python4041211

• TempleRAIL/pedsim_ros_with_gazebo

  Pedestrian ROS simulator with Gazebo and differential wheeled robots

  Language:C++35246

• robotics-upo/dynamic_obstacle_detector

  A simple (but effective) detector of dynamic obstacles in laser scans.

  Language:C++337614

• osilab-kaist/smac_exp

  An open source benchmark for Multi Agent Reinforcement Learning

  Language:Python29206

• Lee-JaeWon/Multi-Robot-Collision-Avoidance-with-VO

  Repository for multi-robot collision avoidance using the Velocity Obstacle.

  Language:Python22111

• TempleRAIL/SOGMP

  [CoRL 2023] SOGMP++/SOGMP: Stochastic Occupancy Grid Map Prediction in Dynamic Scenes

  Language:Python22473

• gowrijsuria/Velocity-Obstacle

  Velocity-Obstacle using Sampling

  Language:Jupyter Notebook11212

• magichjm/Federated-Learning-with-Pytorch

  基于fedavg联邦学习算法smote过采样对联邦信用卡欺诈交易检测任务进行了优化，其中fedavg算法通过创建Server与Clients对象来模拟真实场景下的服务器<-->节点的双向参数传递。

  Language:Python7201