Name: Zeyu Xiong
Type: User
Company: The Hong Kong University of Science and Technology (Guangzhou)
Bio: MPhil candidate at the Hong Kong University of Science and Technology (Guangzhou).
Location: Guangzhou, Guangdong Province, China
Blog: https://www.zeyuxiong.com/
Zeyu Xiong's Projects
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4.1_Calendar_Gatsby_google_sheets_and_forms using @EmaSuriano 's starter https://github.com/EmaSuriano/gatsby-starter-event-calendar
50+ mini web projects using HTML, CSS & JS
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å大å¦č®”ē®ęŗē³»čē ę»ē„ Guidance for postgraduate entrance examination in Department of Computer Science and Technology, Tsinghua University
Solution for AdventOfCode 2020
AI Composer for Machine Learning for Hackers #2
Minimal examples of data structures and algorithms in Python
Self-Learning Android, COMP3059 MDP
šæ A cross-browser library of CSS animations. As easy to use as an easy thing.
Different Searching algorithms (DFS, BFS, IDS, Greedy, A*) opting to find optimal path from source to destination
š Top conferences & Journals focused on Facial expression recognition (FER)/ Facial action unit (FAU) š« āØ
A curated list of high quality coding style conventions and standards.
a list of papers and codes in graphics, computer vision, and HCI
A collection of awesome readme templates to display on your profile
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An awesome list of TensorFlow Lite models, samples, tutorials, tools and learning resources.
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The Beginner's Guide To ReactJS
An awesome README template to jumpstart your projects!
Code for paper "Retaining Semantics in Image to Music Conversion", accepted by 24th IEEE International Symposium on Multimedia (22.2% Acceptance Rate)
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
How to create a Cartoonizer Android app with TensorFlow Lite models.
Use ChatGPT to summarize the arXiv papers.
A complete computer science study plan to become a software engineer.
Here are the quiz answers and programming assignments' solutions for the course "Machine Learning" and five specializations in Coursera taught by Mr. Andrew Ng from Stanford University.