Recommender_system_via_deep_rl
The implemetation of Deep Reinforcement Learning based Recommender System from the paper Deep Reinforcement Learning based Recommendation with Explicit User-Item Interactions Modeling by Liu et al.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| D2l En | 20,613 | 3 months ago | 2 | November 13, 2022 | 115 | other | Python | |||
| Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge. | ||||||||||
| Catalyst | 3,151 |  | 19 | 19 | 10 months ago | 108 | April 29, 2022 | 6 | apache-2.0 | Python |
| Accelerated deep learning R&D | ||||||||||
| Awesome Deeplearning | 2,670 | 3 months ago | 462 | apache-2.0 | Jupyter Notebook | |||||
| 深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI | ||||||||||
| Ml Surveys | 2,538 | a year ago | 1 | mit | ||||||
| 📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc. | ||||||||||
| Reco Papers | 1,753 | 4 years ago | mit | Python | ||||||
| Classic papers and resources on recommendation | ||||||||||
| Awesome Deep Learning Papers For Search Recommendation Advertising | 1,167 | 5 months ago | Python | |||||||
| Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on. | ||||||||||
| Recsyspapers | 801 | 4 months ago | bsd-2-clause | Python | ||||||
| 推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search. | ||||||||||
| Deeprec | 723 | 3 years ago | mit | |||||||
| 推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction | ||||||||||
| Recsim | 454 | 3 years ago | 13 | June 30, 2020 | 10 | apache-2.0 | Python | |||
| A Configurable Recommender Systems Simulation Platform | ||||||||||
| Recnn | 313 | 3 years ago | apache-2.0 | Python | ||||||
| Reinforced Recommendation toolkit build around pytorch 1.7 | ||||||||||
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Jupyter Notebook
Tensorflow
Reinforcement Learning
Recommendation System