JaeEunSeo
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Fast Python Collaborative Filtering for Implicit Feedback Datasets
Python package built to ease deep learning on graph, on top of existing DL frameworks.
This is a repository of public data sources for Recommender Systems (RS).
Interactive Data Augmentation (arXiv 2024)
System design patterns for machine learning
All code necessary for reproducing the "Improving Sequential Recommendation with LLMs" and "Leveraging Large Language Models for Sequential Recommendation" papers.
Line numbering plugin for Highlight.js
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
부스트캠프 AI Tech - Product Serving 자료
level2-recsys-movierecommendation-recsys-02-lv3 created by GitHub Classroom
The official PyTorch implementation of the paper "RecVAE: A New Variational Autoencoder for Top-N Recommendations with Implicit Feedback"
PyTorch(1.6+) implementation of https://github.com/kang205/SASRec
A unified, comprehensive and efficient recommendation library
A curated list of awesome Recommender System (Books, Conferences, Researchers, Papers, Github Repositories, Useful Sites, Youtube Videos)
[WSDM'2024 Oral] "SSLRec: A Self-Supervised Learning Framework for Recommendation"
PyTorch deep learning projects made easy.
Hands-on tutorials at EEML2022 summer school
CausalInferenceLab / causal-inference-in-python-code
Forked from matheusfacure/causal-inference-in-python-code"실무로 통하는 인과추론 with 파이썬" (한빛미디어, 2024) 소스코드 저장소입니다.
pytorch version of neural collaborative filtering
Datascience-Interview-Questions for Korean
Naver Connect Foundation Boostcamp AI Tech 5th Final Project - Web Service with Coffee Recommendation System : COFFEE Playlist
Official code for the paper "Leveraging the Metapath and Entity Aware Subgraphs for Recommendation"
KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019
IMGenie는 일상 이미지를 기반으로 어울리는 음악을 추천해주는 서비스입니다.
The PyTorch implementation of LightGCN