DoyeonLim

DoyeonLim's Stars

• twitter/the-algorithm

  Source code for Twitter's Recommendation Algorithm

  Language:Scala62.3k33995412.1k

• google-research/google-research

  Google Research

  Language:Jupyter Notebook34.2k7521.3k7.9k

• microsoft/unilm

  Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

  Language:Python20.1k3081.4k2.5k

• recommenders-team/recommenders

  Best Practices on Recommendation Systems

  Language:Python19.2k2758683.1k

• diff-usion/Awesome-Diffusion-Models

  A collection of resources and papers on Diffusion Models

  Language:HTML11k26948946

• aikorea/awesome-rl

  Reinforcement learning resources curated

  8.8k440121.8k

• tony9402/baekjoon

  코딩테스트 대비 문제집(Baekjoon Online Judge)

  Language:C++5.9k20371.2k

• victoresque/pytorch-template

  PyTorch deep learning projects made easy.

  Language:Python4.7k55641.1k

• RUCAIBox/RecBole

  A unified, comprehensive and efficient recommendation library

  Language:Python3.4k42977615

• RUCAIBox/RecSysDatasets

  This is a repository of public data sources for Recommender Systems (RS).

  Language:Python8441437132

• jihoo-kim/awesome-RecSys

  A curated list of awesome Recommender System (Books, Conferences, Researchers, Papers, Github Repositories, Useful Sites, Youtube Videos)

  771241119

• SKT-AI/KoBART

  Korean BART

  Language:Python447232194

• jihoo-kim/Awesome-Generative-RecSys

  A curated list of Generative Recommender Systems (Paper & Code)

  36312239

• kakao/recoteam

  카카오 추천팀 공개 리포지토리입니다.

  Language:Jupyter Notebook33526018

• khanhnamle1994/MetaRec

  PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models

  Language:Python2976578

• Hzfinfdu/Diffusion-BERT

  ACL'2023: DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models

  Language:Python292123225

• cszhangzhen/DRL4Recsys

  Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems

  29118060

• wusw14/GNN-in-RS

  2855065

• guyulongcs/Awesome-Deep-Reinforcement-Learning-Papers-for-Search-Recommendation-Advertising

  Awesome Deep Reinforcement Learning papers for industrial Search, Recommendation and Advertising.

  2008032

• lsjsj92/recommender_system_with_Python

  recommender system tutorial with Python

  Language:Jupyter Notebook1942196

• ceo21ckim/Awesome-Recsys

  This Repository includes recent papers (RecSys, SIGIR, WWW, etc.) related to the Recommender Systems

  1908117

• smilegate-ai/korean_smile_style_dataset

  1431215

• sangyun884/Diffusion-Models-Seminar

  1271106

• SeongBeomLEE/RecsysTutorial

  추천시스템 논문을 읽고 구현한 Code가 저장된 Repository

  Language:Jupyter Notebook662011

• moseskim/RecommenderSystems

  『추천 시스템 입문』 샘플 코드 저장소

  Language:Jupyter Notebook410017

• long8v/torch_study

  torch tutorial and paper implementation mainly about NLP

  33526

• ljh0v0/D3PM-Pytorch

  Unofficial PyTorch implementation of Discrete Denoising Diffusion Probabilistic Model(D3PM)

  Language:Python30231

• herobd/layoutlmv2

  running LayoutLMv2

  Language:Python11111

• rakutentech/shared_rep

  Language:Python370

• Becky-Kwon/NH-Investment-2022-BigData-Contest

  NH투자증권 2022년 빅데이터 경진대회 대상팀 ETFF 래포입니다.

  2101