Name: vincent51689453
Type: User
Company: RYSE
Bio: A professional engineer which focus on automated testing, deep learning & robotic application.
Location: Toronto, ON, Canada
Blog: linkedin.com/in/Vincent-chan-miet
vincent51689453's Projects
SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection
It hepls to develop the deep learning database of acupuncture points detection
Acupuncture points positioning system of human forearm with the assistant of Artificial Intelligence with Tensorflow background
This project is to demonstrate the usage of optical flow in object detection
This project is to track hygiene status of different persons in a room
This self learning module is modified based on Tensorflow object detection API for Nvidia Jetson Platform
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
𓃡 Quadruped Robot based on MIT Cheetah I
Clean Code Collection books-写代码的艺术--但是也不能死读书,照搬理论实践
Use openmv to determine the results of several tester
GUI for logging
a dash app for visualization and modeling
Deep Learning Examples
This platform provides a simulation environment for IC382 Rescue Robot Simulation
Repository for my project (Bananas Collector) with Deep Reinforcement Learning
Tools for use with dynamic reconfigure with ROS
It is a strategy planning package used in entering/leaving the elevator based on PCL and realsense. This package is developing with UbiquityRobot Magni.
A Robust and Efficient Trajectory Planner for Quadrotors
Automatically creates Flowcharts from IGCSE Pseudocode!
A foreign exchange prediction by neural network. Main target is EURUSD
Fast UAV Exploration using Incremental Frontier Structure and Hierarchical Planning
Open source robotics simulator.
YOLOv4 tiny with ROS system implementation
Gazebo simulation with drone testing environment
:zap: Dynamically generated stats for your github readmes
:+1: HackerRank Solution
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.