myeonghak

DGL-tutorial

그래프 딥러닝 라이브러리 DGL 쉽게 배우기

stock-news-summary

관심 주식 종목의 뉴스의 요약본을 메일로 전달하는 프로그램

rs_study

추천시스템 스터디 ('20.8.11 ~ '20.10.2)

kobert-multi-label-VOC-classifier

pretrained kobert를 사용한 multi-label VOC(Voice of Customers) 태그 분류 모델

mlflow-rankfm

An example of MLflow Tracking and Models Using Factorization Machine Recommender model library, rankfm.

Transformer-product-categorization

트랜스포머 블록을 활용한 상품명 자연어처리 기반 카테고리 분류 모델

pandas_zoo

A zoo for pandas methods, functions, usages!

Recsys_MF_example

Building a Collaborative Filtering based Recommender system using e-commerce data.

VAE_recommender_system

VAE(Variational AutoEncoder) Recsys example using tensorflow

MAGNN_BERT

Improve MAGNN using pretrained distilBERT embedding

AutoEncoder_for_Denoising

A simple example of Denoising pictures using Autoencoder

fire_gimhae

분석 공모전 참여 일지

kimhae_fire_detection

김해 화재 예측

Laptop_Price_Prediction

With Laptop Data, I'll do prediction on its proper price

MAB_for_PAR

MAGNN

Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding

myeonghak

myeonghak.github.io

myeonghak's tech blog

Naver_Movie_Review_Crawler

Crawl Review data from Naver Movie Site

nlp_study

AI-Robotics KR 자연어처리 스터디 ('19.7.23 ~ '19.10.8)

recsystools

shap

A game theoretic approach to explain the output of any machine learning model.

stellargraph

StellarGraph - Machine Learning on Graphs

TIL

📝 Today I Learned - 오늘 배운 것들을 기록합니다.