Nick (Shun-Fu) Hu's repositories
Validity_and_idealizations
Working with KC on validity and idealizations. This is primarily a manuscript.
algorithm_prac
Practicing algorithms
csharp_mvc
documenting my learning with csharp mvc
cv
Personal website showing my CV, resume and more
django-blog
a practice of django-blog
django-family-accounting
A convenient django app for trusted friends and family memebers to document their spending together
django-playlist
Course files for The Net Ninja Django playlist on YouTube
email-summarization
A module for E-mail Summarization which uses clustering of skip-thought sentence embeddings.
gans
Generative Adversarial Networks implemented in PyTorch and Tensorflow
genetic_algorithm
A genetic algorithm that finds the maximum value of 5 random numbers. Can be easily edited to accommodate other optimization problems.
girth
An Item Response Theory Package for Python
github-prac
used for practicing github basic functionalities
hakka_dict
Generates word recognition tests based on Hakka Dictionary from the MOE of Taiwan
hello-world
Testing the functionality of GitHub
husohome
a psychometrician (doing data analysis) and a coding hobbist (for now!)
keyword_checker
For systematic reviews, check if a given webpage/pdf file contains certain keywords. Can be set to record whether the requests worked based on web domains.
markdown-cv
a simple template to write your CV in a readable markdown file and use CSS to publish/print it.
mnn_class_rewritten
career_ml without data. This repo was created for code reviews.
nlp-akash
Natural Language Processing notes and implementations
obsidian-notes
my obsidian note to maybe share with people
personal_website
This is my inchoate attempt to make a personal website.
python-imagesearch
A wrapper around opencv2 and pyautogui to do image searching easily.
resume-builder
an interactive note taking tool that helps build a resume
sdt_irt
Exploring the possiblity of simulating the sdt-irt model.
transformers
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.