profile sourced from GitHub
Scouting report
Data/ML and security-research repos, but a dormant recent profile
assessed from open-source footprint
PDH's portfolio is more technically substantive than most here, with Python work on k-nearest-neighbors with TensorFlow, a network protocol-attack experiment, and a vulnerability-keys (CVulKeys) model and preprocessing pipeline, pointing to genuine ML and security-research interests. The offsetting reality is dormancy: no commits in the past year, every repo flagged abandoned, and only a few stars total. There are no verified external open-source contributions. The research-flavored subject matter is a real differentiator; whether it reflects current capability depends on activity that isn't visible in the past year.
Authorship & open source
What they build
Industry experience
- Data, ML & AI
Signal breakdown
3
top repo 1
10
23% forks
2
7.2 yr
1
Quiet
100% stale
Strengths
- Verified author — wrote 100% of commits on leetcode
- Original builder — 10 of their own repositories
- Backend focus with Frontend
- Domain experience in Data, ML & AI
- Core stack: Python, Java, Vue, HTML
About
Skills
- Python
- Java
- Vue
- HTML
- JavaScript
- Github Config
Featured work
Protocol Attack
网络攻防协议攻击实验
- Python
by PDH
KNN Algorithm
This repository contains the code of k nearest neighbors with tensorflow
- Python
by PDH
CVulKeys
The Model of CVulKeys
- Python
by PDH
CVulKeys Preprocess
The Preprocess of CVulKeys
- Python
by PDH
Map Front End
Front_End
- Vue
by PDH
Identifying Protein Motifs Using Expectation Maximization EM
The code of the experiment
- Python
by PDH