vxgu86,zhaoyang,github

2019-electronic-design-competition

2019 全国大学生电子设计竞赛【F题】纸张数量检测装置（基于STM32 & FDC2214 & USART HMI）

aclswarm

MIT ACL formation flying using multirotors

airgym

AirSim with openAI gym and keras-rl integration for autonomous copter RL

airsim

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airsim_rl

Training RL agent Drone in Airsim environment with PPO

airsimcarkerasrlenvironment

An implementation of a OpenAI Gym (with KerasRL) Environment for AirSim Car

airsimneuralnet

Neural network to provide collision avoidance for a drone

I am pleased to update the AlexNet and its variants to adapt to TensorFlow 2.0/2.1/2.2. Since the original script of myalexnet_forward written by the AlexNet team was build on TensorFlow 1.x in 2017, it has generated many errors during the runtime in the env. of TensorFlow 2.x. Either the AlexNet team has no time to update, or it is very hard for developers to find out the AlexNet variants to adapt to TensorFlow 2.0/2.1/2.2 with the Google search. Furthermore, I split the AlexNet model in both the OOP and the pure command style and make client applications to call the AlexNet model because the AlexNet model is not separated in most of the published scenarios which incur the difficulties for developer's deep learning. Considering that AlexNet is the greatest milestone in the CNNN/DNN history (Mr. Hinton has just won the Turing Award in 2019 and the event is not far from fading away), it is important to continue its usability and accessibility to all developers. It is exciting for me to take the opportunity to share the new update.

android-object-detection

:coffee: Fast-RCNN and Scene Recognition using Caffe

arboc

An underwater hyper-redundant snake robot.

art-6lowpan

ART-6LoWPAN project source code, design, tutorial and others docs | ART-6LoWPAN 开源项目的源码、设计、教程及其他文档

autonomous-drone

This repository intends to enable autonomous drone delivery with the Intel Aero RTF drone and PX4 autopilot. The code can be executed both on the real drone or simulated on a PC using Gazebo. Its core is a robot operating system (ROS) node, which communicates with the PX4 autopilot through mavros. It uses SVO 2.0 for visual odometry, WhyCon for visual marker localization and Ewok for trajectoy planning with collision avoidance.