ok-kewei Goto Github PK
Name: Ong Ke Wei
Type: User
Location: Singapore
Name: Ong Ke Wei
Type: User
Location: Singapore
fully applied in ROS. simply fuse the category and location information
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
Contiki-NG: The OS for Next Generation IoT Devices
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.
Projects and application using computer vision and machine learning
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.
Autonomous Mobile Robot Problem Sets and Exercises (Spring 2017) @ ETH
Methods of data exploration and visualization using Python.
Fast LOAM: Fast and Optimized Lidar Odometry And Mapping for indoor/outdoor localization IROS 2021
Apply to FNK0043
:grey_question:Full-stack developer interview questions and answers
The code implemented in ROS projects a point cloud obtained by a Velodyne VLP16 3D-Lidar sensor on an image from an RGB camera.
Light-weight camera LiDAR calibration package for ROS using OpenCV and PCL (PnP + LM optimization)
My machine learning python codes
A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.
Website for ME-495 Embedded Systems in Robotics
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Point Clouds Fast Course from Think Autonomous
Prolog Assignment : London Underground
|| Bring up of intel realsense d435 camera in rviz and gazebo ||
This is the code for "Robotic Manipulation" By Siraj Raval on Youtube
A curated collection of places where you can learn robotics, algorithms, and useful tools for aspiring robotics software engineers.
ROS Basics in 5 Days from Robot Ignite Academy
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.