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python-weixin

微信(weixin|wechat) Python SDK 支持开放平台和公众平台 支持微信小程序登录

pythonrobotics

Python sample codes for robotics algorithms.

qgroundcontrol

Cross-platform ground control station for drones (Android, iOS, Mac OS, Linux, Windows)

react-video-markers

React Video player with markers

realsense-ros

Intel(R) RealSense(TM) ROS Wrapper for D400 series, SR300 Camera and T265 Tracking Module

redis-ui

📡 P3X Redis UI is a very functional handy database GUI and works in your pocket on the responsive web or as a desktop app

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

rfidtester

RFID test program for Impinj reader

rgmii_ethernet

robotics-estimation_and_learning

Coursera - Robotics: Estimation and Learning

rocoma

ros_arduino_bridge

ROS + Arduino = Robot

ros_deep_learning

Deep learning inference nodes for ROS with support for NVIDIA Jetson TX1/TX2/Xavier and TensorRT

rosarduinobridge

Heavyly copied from ROSArduinoBridge Firmware and VHN5019 motor driver board source code.

rosserial

A ROS client library for small, embedded devices, such as Arduino. See: http://wiki.ros.org/rosserial

s2client-proto

StarCraft II Client - protocol definitions used to communicate with StarCraft II.

scrapy_spiders

segnet-tutorial

Files for a tutorial to train SegNet for road scenes using the CamVid dataset

self-driving-car

Udacity Self-Driving Car Engineer Nanodegree projects.

shapely

Manipulation and analysis of geometric objects

skylines

Live tracking, flight database and competition framework

slack_proxy

smartshop

API backend of one smartshop

smartshopfrontend

smartshopsystem

Applications and Hardware Controller of SmartShop

software-radar

Software Defined Radar with GNURadio Companion

starcrackai

StarCraft is a real-time strategy(RTS) game that combines fast-paced micro-actions with the need for high-level planning and execution. Over the previous two decades, StarCraft I and II have been pioneering and enduring e-sports, with millions of casual and highly competitive professional players. In Aug 2017, Deepmind published a paper "StarCraftII: A New Challenge for Reinforcement Learning" giving some intuitions about how to train AI to defeat top human players. Right now AI player is good at single-agent, single-player interacting, but poor performance on multi-agent, with multiple-players interacting. We are trying to build a system supervised learning from replays and reinforcement learning from baseline agents, mimic human player actions and ... You can solo or 2v1 against AI, would be a lot of fun!

startcraftii_rl

symforce

Fast symbolic computation, code generation, and nonlinear optimization for robotics

tensorflow

Computation using data flow graphs for scalable machine learning