ran-zhao

ran-zhao's Stars

• microsoft/ai-edu

  AI education materials for Chinese students, teachers and IT professionals.

  Language:HTML13.5k4611372.9k

• sweetice/Deep-reinforcement-learning-with-pytorch

  PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

  Language:Python3.9k3634846

• ssnhd/googlevoice

  注册 Google Voice 号码详细步骤

  1.7k4418150

• Mingrui-Yu/RaspberryCar

  An intellligent car based on Raspberry Pi: obstacle avoidance, video transimission, object detection, tennis tracking; 基于树莓派的智能小车：自动避障，实时图像传输，目标检测，网球追踪；

  Language:Python34353102

• idreesshaikh/Autonomous-Driving-in-Carla-using-Deep-Reinforcement-Learning

  Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]

  Language:Python28252156

• chapulina/dolly

  🤖🐑 It's a sheep, it's a dolly, it's a following robot. Dolly was born to be cloned.

  Language:C++22972965

• ZJU-FAST-Lab/Elastic-Tracker

  Elastic Tracker: A Spatio-temporal Trajectory Planner Flexible Aerial Tracking

  Language:C++17231621

• VendettaMask/AutoRun-Car

  基于树莓派图像识别的智能循迹避障小车

  Language:Python1253127

• AmeyaWagh/traffic_sign_detection

  Implementation of darkflow on traffic sign detection and classification

  Language:Python738721

• JeffWang0325/Image-Identification-for-Self-Driving-Cars

  🖍️ This project achieves some functions of image identification for Self-Driving Cars. First, use yolov5 for object detection. Second, image classification for traffic light and traffic sign. Furthermore, the GUI of this project makes it more user-friendly for users to realize the image identification for Self-Driving Cars.

  Language:Python403113

• wang-chen/formation

  ROS package for formation and rendezvous of multi-drone (T-Cyber 2020)

  Language:Python38339

• LorenzoBalandi/Robot-Formation-Control

  Formation control for a multi-agent system in a bidimensional space. Various types of formations available. Implementation in ROS2 Foxy.

  Language:Python28204

• satojkovic/DeepTrafficSign

  Traffic sign recognition with Deep Convolutional Neural Networks

  Language:Python20423

• Vicondrus/Roadster

  In this project, a traffic sign recognition system, divided into two parts, is presented. The first part is based on classical image processing techniques, for traffic signs extraction out of a video, whereas the second part is based on machine learning, more explicitly, convolutional neural networks, for image labeling.

  Language:Python20303

• yunxdai/CourseNote

  浙江大学自动化（控制）专业部分课程笔记

  15001

• freicar-2022-1/freicar_project_sign_detect

  ROS (Robot Operating System) nodes for traffic sign detection with YOLOv7 and ArUco marker detection and mapping

  Language:Jupyter Notebook14100

• Rumeysakeskin/YOLO-Darknet-Video-and-Image-Detection-Traffic-Signs

  YOLO Darknet: Traffic sign detection on image and video

  Language:Jupyter Notebook14110

• Robotisim/drones_ROS2

  A course repository to perform ground robot following using Computer Vision

  Language:C++10073

• roboticistjoseph/Kamikaze-Robots

  A C++, software development project using swarm algorithms on 20 or more drones simultaneously to form various geometric shapes.

  Language:Python6302

• roman-ibr/ROS2_leader_follower_epucks

  Language:Python41

• swarmBots-ipa/multirobot_navigation

  ROS2 node for multirobot naviagtion maintining the formation

  Language:Python2000

• MRK4863/Traffic-Sign-Classifier-with-GUI

  It is a multi-class supervised learning problem, with more than 40 classes and 15k images in total. The data is taken from ‘German traffic Sign Benchmark’ on Kaggle. The model was built using KERAS library (python), and a GUI was built using TKINTER that allowed the users to upload images of traffic sign, and to predict and display its class.

  Language:Jupyter Notebook10

• OmSaiAdarsh/Traffic-Signs-Recognition

  This is a complete project which helps autonomous cars to identify the traffic signs.

  Language:Jupyter Notebook1