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Greetings! This is Philo Wu. I am currently an Honours student in Business Analytics @ University of Sydney. I am dedicated to machine learning and deep learning fields. I also enjoy develop some Python-based cool gadgets that are useless useful to serve my needs. Please check them out!

  • ๐Ÿ”ญ Iโ€™m currently working on Early Fake News Detection using GNN
  • ๐ŸŒฑ Iโ€™m currently learning Non-Convex Optimisation
  • ๐Ÿค” Iโ€™m looking for help with frontend deployment of some of my models
  • ๐Ÿ’ฌ Ask me about Everything!
  • ๐Ÿ“ซ How to reach me: [email protected]

๐Ÿ›  Technologies and Tools

  • Languages: Python, PostgreSQL, Cypher, Shell Script.
  • Frameworks: PyTorch.
  • Tools: Git, Docker, Neo4j.

Code Time

Profile Views

I'm a Night ๐Ÿฆ‰

๐ŸŒž Morning                17 commits          โ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   04.06 % 
๐ŸŒ† Daytime                85 commits          โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   20.29 % 
๐ŸŒƒ Evening                165 commits         โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   39.38 % 
๐ŸŒ™ Night                  152 commits         โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   36.28 % 

๐Ÿ“… I'm Most Productive on Wednesday

Monday                   38 commits          โ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   09.07 % 
Tuesday                  59 commits          โ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   14.08 % 
Wednesday                119 commits         โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   28.40 % 
Thursday                 51 commits          โ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   12.17 % 
Friday                   43 commits          โ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   10.26 % 
Saturday                 46 commits          โ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   10.98 % 
Sunday                   63 commits          โ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   15.04 % 

๐Ÿ“Š This Week I Spent My Time On

๐Ÿ•‘๏ธŽ Time Zone: Australia/Sydney

๐Ÿ’ฌ Programming Languages: 
Markdown                 12 hrs 24 mins      โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘   80.54 % 
Lua                      1 hr 11 mins        โ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   07.69 % 
Python                   35 mins             โ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   03.85 % 
tmux                     22 mins             โ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   02.43 % 
Text                     14 mins             โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   01.58 % 

๐Ÿ”ฅ Editors: 
Obsidian                 12 hrs 24 mins      โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘   80.54 % 
Neovim                   2 hrs 59 mins       โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   19.46 % 

๐Ÿ’ป Operating System: 
Mac                      15 hrs 24 mins      โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ   100.00 % 

Last Updated on 11/08/2024 01:34:58 UTC

Philo Wu's Projects

chatwithyou icon chatwithyou

ๅŸบไบŽGhatGLM3-6Bๅ’Œๅพฎไฟก่Šๅคฉ่ฎฐๅฝ•๏ผŒๅ…‹้š†ไธ€ไธชโ€œไฝ โ€็š„ๅพฎไฟก่Šๅคฉๆœบๅ™จไบบ ๏ฝœCreate a personalised WeChat chat-bot that sounds like you using chat history based on ChatGLM3-6b

dotfiles icon dotfiles

A backup of my personal dotfiles and configuration

qagnn icon qagnn

[NAACL 2021] QAGNN: Question Answering using Language Models and Knowledge Graphs ๐Ÿค–

tuning_playbook icon tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

vocaboverfit icon vocaboverfit

VocabOverfit: adopting the concept of embedding in memorising vocabularies

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