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a-loam

Advanced implementation of LOAM

ar_track_alvar

AR tag tracking library for ROS

autoware

Open-Source To Self-Driving.

cheetah-software

computer-vision

demo

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

cs-notes

:books: Tech Interview Guide 技术面试必备基础知识、Leetcode 题解、Java、C++、Python、后端面试、操作系统、计算机网络、系统设计

darknet

Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)

darknet_ros

YOLO ROS: Real-Time Object Detection for ROS

deep-learning-with-tensorflow-book

深度学习开源书，基于TensorFlow 2.0实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

deep-person-reid

Deep learning person re-identification in PyTorch.

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

demoggy

depthimage_to_laserscan

Converts a depth image to a laser scan for use with navigation and localization.

dls-gazebo

Dynamic Legged Systems Gazebo simulation models and worlds

dls_factor_graph_calibration

This ROS package uses factor graphs to compute extrinsic parameters of multi-cameras on a robot

dope-ros-d435

Object 6DoF Pose Estimation - ROS Kinetic/Melodic Using Intel® RealSense D435

drcsim

drcsim package for ROS kinetic

ds-cheatsheets

List of Data Science Cheatsheets to rule the world

dwl

The Dynamic Whole-body Locomotion library (DWL)

eladmin

项目基于 Spring Boot 2.1.0 、 Jpa、 Spring Security、redis、Vue的前后端分离的后台管理系统，项目采用分模块开发方式， 权限控制采用 RBAC，支持数据字典与数据权限管理，支持一键生成前后端代码，支持动态路由

eladmin-web

eladmin前端源码，项目基于 Spring Boot 2.1.0 、 Spring Boot Jpa、 Spring Security、Redis、Vue的前后端分离后台管理系统， 权限控制采用 RBAC，菜单动态路由

elevation_mapping

Robot-centric elevation mapping for rough terrain navigation

facenet

Face recognition using Tensorflow

frank

free_gait

An Architecture for the Versatile Control of Legged Robots

gateway-dynamic-route

spring-cloud-gateway

grid_map

Universal grid map library for mobile robotic mapping

gym

A toolkit for developing and comparing reinforcement learning algorithms.

hyq-description

This package contains the description (mechanical, kinematic, visual, etc.) of the different HyQ robots. The files in this package are parsed and used by a variety of other components. Most users will not interact directly with this package.