Lee jung ho's repositories
KUDataPreprocessing
고려대학교 제공 데이터 및 전처리
bigContest
빅콘코드 및 자료설명
d2l-pytorch
This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
deep-learning-with-python-notebooks
<케라스 창시자에게 배우는 딥러닝> 도서의 주피터 노트북
dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
DIF-SR
Decoupled Side Information Fusion for Sequential Recommendation
fashion-200k
Fashion 200K dataset used in paper "Automatic Spatially-aware Fashion Concept Discovery."
Graphormer
This is the official implementation for "Do Transformers Really Perform Bad for Graph Representation?".
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
HINE
Heterogeneous Information Network Embedding
KUDataOutlier-1
이상치 탐지 전처리 모듈
meta_recommend
fashion data for meta recommendation
pytorch-pretrained-BERT
A PyTorch implementation of Google AI's BERT model provided with Google's pre-trained models, examples and utilities.
RecBole
A unified, comprehensive and efficient recommendation library
SSLRec
[WSDM'2024 Oral] "SSLRec: A Self-Supervised Learning Framework for Recommendation"