Skip to content
View Leslie-Lu's full-sized avatar
🎯
Focusing
🎯
Focusing

Highlights

  • Pro

Block or report Leslie-Lu

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Leslie-Lu/README.md

Zhen Lu, PhD candidate at SYSU.

πŸ’¬ Connect to me by email.

bilibili wechat planet zhihu Twitter scholar Hits

GitHub Stats

🐱 My GitHub Data

πŸ“¦ 230.9 kB Used in GitHub's Storage

🚫 Not Opted to Hire

πŸ“œ 20 Public Repositories

πŸ”‘ 5 Private Repositories

I'm an Early 🐀

🌞 Morning                21 commits          β–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   02.31 % 
πŸŒ† Daytime                559 commits         β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   61.50 % 
πŸŒƒ Evening                317 commits         β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   34.87 % 
πŸŒ™ Night                  12 commits          β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   01.32 % 

πŸ“… I'm Most Productive on Wednesday

Monday                   138 commits         β–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   15.18 % 
Tuesday                  160 commits         β–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   17.60 % 
Wednesday                186 commits         β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   20.46 % 
Thursday                 128 commits         β–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   14.08 % 
Friday                   143 commits         β–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   15.73 % 
Saturday                 70 commits          β–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   07.70 % 
Sunday                   84 commits          β–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   09.24 % 

I Mostly Code in R

R                        8 repos             β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   38.10 % 
HTML                     6 repos             β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   28.57 % 
SAS                      3 repos             β–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   14.29 % 
Jupyter Notebook         2 repos             β–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   09.52 % 
TeX                      1 repo              β–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   04.76 % 

Last Updated on 24/11/2024 18:45:37 UTC


NOTE: Top languages does not indicate my skill level or anything like that. It is just a metric of which languages have been hosted by me on GitHub based on the usage across repositories.

Pinned Loading

  1. Hesitancy-about-SARS-CoV-2-rapid-antigen-testing-in-China Hesitancy-about-SARS-CoV-2-rapid-antigen-testing-in-China Public

    publication

    R 1

  2. Machine-learning-based-diagnosis-for-neurosyphilis Machine-learning-based-diagnosis-for-neurosyphilis Public

    publication

    R 2 1

  3. Neoadjuvant-therapy-for-resectable-HNSCC Neoadjuvant-therapy-for-resectable-HNSCC Public

    publication

    SAS

  4. CerviScreen CerviScreen Public

    A machine learning model for risk stratification and management of cervical cancer and precancer based on national-level HPV extended genotyping cohort

    Jupyter Notebook

  5. DEFEAT-NS DEFEAT-NS Public

    A deep learning framework for personalized dynamic diagnosis of adverse prognostic outcomes in neurosyphilis (DEFEAT-NS)

  6. SCREENing SCREENing Public

    Identifying and predicting data-driven clinical subgroups for cervical cancer prevention using computational phenomaps and machine learning: a large-scale, population-based, observational SCREENing…

    Jupyter Notebook