Repository hosting code for "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152).
A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.
An easy-to-use framework for large scale recommendation algorithms.
Unofficial implementation of generative recommender (GR) with Hierarchical Sequential Transduction Unit (HSTU) from Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations
An extremely modular, easy-to-use, and research-oriented framework for Generative Recommendation.
Simple and fast project to learn baseline sequential recommenders.
中英双语知识库，为推荐系统与计算广告 auto research 提供可精确引用的技术资料 — 召回/排序/重排、生成式推荐（语义 ID、HSTU、OneRec、EGA、OneRec-Think、RecZero、扩散模型）、计算广告（GFP/GSP/VCG、智能出价、预估校准、WAND/ANN 检索、反作弊）。
Policy from human imitation + value based search for high elo chess using sequential transformers.
Generative sequential recommendation: Meta HSTU on KuaiRand short-video logs, with a dual-stream eval protocol and a 0.56M–7.3M capacity sweep.
A demo campus app developed for Hajee Mohammad Danesh Science & Technology University
📚 HSTU MSc CSE exam questions, quizzes, assignments & study materials Session-wise 2024 & 2025 | Open for contributions via Pull Request
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