Pinned Repositories
22-tutorials-ex
2022_OSSCA_activities
additive_attention
'22 SKKU scholar paper - ABSA: Additive Attention Based Soft Attention(especially in Text Classification)
algorithm-interview
<파이썬 알고리즘 인터뷰> 95가지 알고리즘 문제 풀이로 완성하는 코딩 테스트
algorithm_study
articanon
Neural Text Generation
awesome-public-datasets
A topic-centric list of HQ open datasets. PR ☛☛☛
colab
experiment from google colab
colabblog
Cookbook
The Data Engineering Cookbook
git-seminar
for git study repository
stella-oh's Repositories
stella-oh/additive_attention
'22 SKKU scholar paper - ABSA: Additive Attention Based Soft Attention(especially in Text Classification)
stella-oh/tutorials-kr
🇰🇷파이토치에서 제공하는 튜토리얼의 한국어 번역을 위한 저장소입니다. (Translate PyTorch tutorials in Korean🇰🇷)
stella-oh/Pull_shark
stella-oh/22-tutorials-ex
2022_OSSCA_activities
stella-oh/algorithm_study
stella-oh/colabblog
stella-oh/portfolio-jekyll-theme
A minimalist Jekyll theme for building a personal portfolio site powered by Jekyll and GitHub Pages
stella-oh/ml-coursera-python-assignments
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
stella-oh/ml-course
Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
stella-oh/thesis_projects
thesis project which related to 2020 KDD cup challenge "Modern e-commerce platform recall"
stella-oh/stella-oh.github.io
:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.
stella-oh/algorithm-interview
<파이썬 알고리즘 인터뷰> 95가지 알고리즘 문제 풀이로 완성하는 코딩 테스트
stella-oh/URS
Universal Reddit Scraper - Scrape Subreddits, Redditors, and submission comments. A command-line tool written in Python (PRAW).
stella-oh/SKKU_DSA
all the resources and reports from SKKU data science application classes (prof.simon woo)
stella-oh/SKKU_advanced_ML
this is all the resources from 2020 SKKU master degree's advanced machine learning class (prof. Leeman Kill) resources and research.
stella-oh/colab
experiment from google colab
stella-oh/pelican-themes
Themes for Pelican
stella-oh/recommendation_system
stella-oh/keyword_extraction
Keyword extraction with Word2Vec
stella-oh/NLP101
딥러닝과 자연어 처리 학습을 위해 참고하면 좋은 자료들을 저장하는 자료소
stella-oh/Cookbook
The Data Engineering Cookbook
stella-oh/L3C-PyTorch
PyTorch Implementation of the CVPR'19 Paper "Practical Full Resolution Learned Lossless Image Compression"
stella-oh/awesome-public-datasets
A topic-centric list of HQ open datasets. PR ☛☛☛
stella-oh/python-instagram
Python Client for Instagram API
stella-oh/tensorflow_tutorial
tensorflow的一些实例
stella-oh/MathsDL-spring19
Mathematics of Deep Learning, Courant Insititute, Spring 19
stella-oh/wswp
Code for the second edition Web Scraping with Python book by Packt Publications
stella-oh/Learn_Data_Science_in_3_Months
This is the Curriculum for "Learn Data Science in 3 Months" By Siraj Raval on Youtube
stella-oh/articanon
Neural Text Generation
stella-oh/python