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followers: 3.0 following: 3.0 repos: 28.0 gists: 0.0

Name: Quan Hoang Ngoc

Type: User

Company: UIT

Bio: I am a student at a university. I am learning about Mindset, Computer Science, Data Science and Software Engineering (CS). So, I enjoy life.

Location: Ho Chi Minh City, Viet Nam

Hi there 👋

Quan Hoang Ngoc

Hi, my name is Quan. I am a student at the University of Information Technology (UIT), Ho Chi Minh City, Vietnam. I am learning about Mindset and Computer Science. So, I look forward to enjoying my own life.

About me 😄

Share yourself - 2022 ago 📫

Quan site Quan's essayes

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New Platform (Recommend for Notion)

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  • I am happy to share my knowledge and useful projects to people. I am willing to spend more time, enthusiasm and a well-groomed appearance for these projects. So, I hope that they will be useful for people.
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Quan Hoang Ngoc's Projects

ai-hub-models icon ai-hub-models

The Qualcomm® AI Hub Models are a collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.

astar_heuristic_for_sokoban_game.ttnt icon astar_heuristic_for_sokoban_game.ttnt

We design a new heuristic function for the A* algorithm and make a benchmark to evaluate its performance with the default heuristic function as well as the UCS algorithm

datathon_qthometown icon datathon_qthometown

This is the web-app that help virtual try on shoes for customers. It is MVP that we take part in Top 24 Datathon.

image_ops_lib icon image_ops_lib

This is the project where we develop a library about image operations.

img2img-turbo icon img2img-turbo

One-step image-to-image with Stable Diffusion turbo: sketch2image, day2night, and more

or_tools_more_computers_automatic_report.ttnt icon or_tools_more_computers_automatic_report.ttnt

In this project, we conducted some experiments to measure and evaluate the solution and performance of OR-Tools for Knapsack problems. Thus, we also learn how to use OR-Tools and install it for practical purposes.

yolov5-deepsort-vehicle-tracking-master icon yolov5-deepsort-vehicle-tracking-master

In this project, urban traffic videos are collected from the middle section of Xi 'an South Second Ring Road with a large traffic flow, and interval frames are extracted from the videos to produce data sets for training and verification of YOLO V5 neural network. Combined with the detection results, the open-source vehicle depth model data set is u

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