wrong-age-98

wrong-age-98's Stars

• Pursue1221/FlashbackPlusPlus

  Language:Python222

• UM-Data-Intelligence-Lab/NYLON_code

  Language:Python192

• UM-Data-Intelligence-Lab/HELIOS_code

  Language:Python192

• eXascaleInfolab/HistoSketch

  Implementation of HistoSketch and D2HistoSketch in MATLAB

  Language:Matlab201

• RyanLu32/sHINGE

  Source code for sHINGE

  Language:Python191

• eXascaleInfolab/RETA_code

  Language:Python307

• eXascaleInfolab/HINGE_code

  Language:Python3812

• eXascaleInfolab/NodeSketch

  NodeSketch: Highly-Efficient Graph Embeddings via Recursive Sketching

  Language:Python333

• eXascaleInfolab/LBSN2Vec

  Code release for LBSN2Vec

  Language:C4414

• eXascaleInfolab/JUST

  Language:Python457

• eXascaleInfolab/Flashback_code

  Language:Python4518

• hanruihua/ir-sim

  A python based light weight robot simulator for the intelligent robotics navigation and learning

  Language:Python10714

• hanruihua/rl_rvo_nav

  The source code of the [RA-L] paper "Reinforcement Learned Distributed Multi-Robot Navigation with Reciprocal Velocity Obstacle Shaped Rewards"

  Language:Python16131

• binary-husky/gpt_academic

  为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

  Language:Python64.1k7.9k

• bearswang/ros-bridge

  ROS bridge for CARLA Simulator

  Language:Python21

• bearswang/limo-doc

  21

• bearswang/RDA_planner

  The source code of the paper "RDA: An Accelerated Collision Free Motion Planner for Autonomous Navigation in Cluttered Environments"

  21

• bearswang/PythonRobotics

  Python sample codes for robotics algorithms.

  21

• SIAT-INVS/CarlaFLCAV

  federated learning autonomous driving in CARLA simulation

  Language:Python12928

• bearswang/mpc-ros

  ROS package for autonomous navigation using model predictive control (MPC)

  Language:Python395

• vectr-ucla/direct_lidar_odometry

  [IEEE RA-L & ICRA'22] A lightweight and computationally-efficient frontend LiDAR odometry solution with consistent and accurate localization.

  Language:C++855176

• ChrisLeeUM/MoCAM

  For the competition of MoCAM

  Language:Python43