stella-oh Goto Github PK

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

git-seminar5

keyword_extraction

Keyword extraction with Word2Vec

l3c-pytorch

PyTorch Implementation of the CVPR'19 Paper "Practical Full Resolution Learned Lossless Image Compression"

learn_data_science_in_3_months

This is the Curriculum for "Learn Data Science in 3 Months" By Siraj Raval on Youtube

mathsdl-spring19

Mathematics of Deep Learning, Courant Insititute, Spring 19

ml-course

Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language

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.

ml.math

neuraltalk

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

nlp101

딥러닝과 자연어 처리 학습을 위해 참고하면 좋은 자료들을 저장하는 자료소

pelican-themes

Themes for Pelican

portfolio-jekyll-theme

A minimalist Jekyll theme for building a personal portfolio site powered by Jekyll and GitHub Pages

pull_shark

python

python-instagram

Python Client for Instagram API

recommendation_system

sentimentdomain

seo-keywords-generator

Keyword generator providing multiple commands in order to manage keyphrases for SEO monitoring tools such as AWRCloud

skku_advanced_ml

this is all the resources from 2020 SKKU master degree's advanced machine learning class (prof. Leeman Kill) resources and research.

skku_dsa

all the resources and reports from SKKU data science application classes (prof.simon woo)