Pinned Repositories
Camera-Lidar-Fusion-ROS
fully applied in ROS. simply fuse the category and location information
Coursera-Neural-Networks-and-Deep-Learning
About this Course If you want to break into cutting-edge AI, this course will help you do so. Deep learning engineers are highly sought after, and mastering deep learning will give you numerous new career opportunities. Deep learning is also a new "superpower" that will let you build AI systems that just weren't possible a few years ago. In this course, you will learn the foundations of deep learning. When you finish this class, you will: - Understand the major technology trends driving Deep Learning - Be able to build, train and apply fully connected deep neural networks - Know how to implement efficient (vectorized) neural networks - Understand the key parameters in a neural network's architecture This course also teaches you how Deep Learning actually works, rather than presenting only a cursory or surface-level description. So after completing it, you will be able to apply deep learning to a your own applications. If you are looking for a job in AI, after this course you will also be able to answer basic interview questions. This is the first course of the Deep Learning Specialization.
Deep-Learning-Specialization-Coursera-
If you want to break into AI, this Specialization will help you do so. Deep Learning is one of the most highly sought after skills in tech. We will help you become good at Deep Learning. In five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach. You will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice. AI is transforming multiple industries. After finishing this specialization, you will likely find creative ways to apply it to your work. We will help you master Deep Learning, understand how to apply it, and build a career in AI.
Freenove_4WD_Smart_Car_Kit_for_Raspberry_Pi
Apply to FNK0043
robotics-coursework
A curated collection of places where you can learn robotics, algorithms, and useful tools for aspiring robotics software engineers.
ROS--TF-Tutorial
ROS-Manipulator
ROS Manipulation course from Robot Ignite Academy
ROS-Navigation
ROS Navigation course from Robot Ignite Academy
ROS-TF-101
ROS TF 101 course from Robot Ignite Academy
Teleoperated-Control-of-A-Robotic-Arm-For-On-Orbit-Servicing
Dissertation
ok-kewei's Repositories
ok-kewei/Teleoperated-Control-of-A-Robotic-Arm-For-On-Orbit-Servicing
Dissertation
ok-kewei/ROS-Navigation
ROS Navigation course from Robot Ignite Academy
ok-kewei/Freenove_4WD_Smart_Car_Kit_for_Raspberry_Pi
Apply to FNK0043
ok-kewei/ROS--TF-Tutorial
ok-kewei/ROS-Manipulator
ROS Manipulation course from Robot Ignite Academy
ok-kewei/ROS-TF-101
ROS TF 101 course from Robot Ignite Academy
ok-kewei/camera_lidar_sensor-fusion_waymo
Measurements from LiDAR and camera of tracked vehicles are fused over time. Real-world data from the Waymo Open Dataset is used to detect objects in 3D point clouds and apply an extended Kalman filter for sensor fusion and tracking
ok-kewei/cvml_project
Projects and application using computer vision and machine learning
ok-kewei/Developing-a-webpage-to-teleoperate-rosbot2.0
ok-kewei/floam
Fast LOAM: Fast and Optimized Lidar Odometry And Mapping for indoor/outdoor localization IROS 2021
ok-kewei/Full-stack-Developer-Interview-Questions-and-Answers
:grey_question:Full-stack developer interview questions and answers
ok-kewei/lidar-camera-fusion
The code implemented in ROS projects a point cloud obtained by a Velodyne VLP16 3D-Lidar sensor on an image from an RGB camera.
ok-kewei/lidar_camera_calibration
Light-weight camera LiDAR calibration package for ROS using OpenCV and PCL (PnP + LM optimization)
ok-kewei/Machine-Learning-for-Robotics
ok-kewei/machine-learning-roadmap
A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.
ok-kewei/me495_site
Website for ME-495 Embedded Systems in Robotics
ok-kewei/mit-deep-learning
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
ok-kewei/pcl_experiments
ok-kewei/point_cloud_course
Point Clouds Fast Course from Think Autonomous
ok-kewei/Prolog---London-Underground
Prolog Assignment : London Underground
ok-kewei/Pytorch-Exercise
ok-kewei/realsense2_description
|| Bring up of intel realsense d435 camera in rviz and gazebo ||
ok-kewei/ROS-Basics
ROS Basics in 5 Days from Robot Ignite Academy
ok-kewei/ROS-Tutorial
ok-kewei/ROS-URDF
Robot Creation: URDF for Robot Modeling course from Robot Ignite Academy
ok-kewei/ROS_Gazebo_Tutorial
ok-kewei/Sensor-Fusion-for-Object-Detection
This project focuses on performing early sensor fusion of raw camera and lidar data to faciliate detecting objects and estimating their depth information.
ok-kewei/stable-diffusion
A latent text-to-image diffusion model
ok-kewei/yolov5_pytorch_ros
Real-time object detection with ROS, based on YOLOv5 and PyTorch
ok-kewei/yolov5_ros
A complete ROS interface for running YOLOv5 inference