Officially maintained, supported by PaddlePaddle, including CV, NLP, Speech, Rec, TS, big models and so on.
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Officially maintained, supported by PaddlePaddle, including CV, NLP, Speech, Rec, TS, big models and so on.
A Python implementation of LightFM, a hybrid recommendation algorithm.
An implementation of a deep learning recommendation model (DLRM)
Fast Python Collaborative Filtering for Implicit Feedback Datasets
a tag and recommend system for old bus driver 给老司机用的一个番号推荐系统
本地私有、开源的自进化跨平台 AI 内容发现 Agent:先理解你,再主动从 B站、小红书、抖音、YouTube、X、知乎、Reddit、微博等平台与开放 Web 寻找内容。(支持 deepseek harness 插件) | Local-first open-source cross-platform AI content discovery agent: understands you, then proactively finds content across Bilibili, Xiaohongshu, Douyin, YouTube, X, Zhihu, Reddit, Weibo and the open web.(support deepseek harness plugin)
AudioMuse-AI uses sonic analysis to rediscover forgotten songs, uncover hidden connections in your music library, and generate intelligent playlists for Navidrome, Jellyfin, LMS, Lyrion, Emby and Plex: no metadata or external services required.
All-in-one platform for search, recommendations, RAG, and analytics offered via API
Pytorch domain library for recommendation systems
A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
A framework for large scale recommendation algorithms.
Tensorflow implementation of DeepFM for CTR prediction.
Repository hosting code for "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152).
A Macau food recommendation Agent built on Thompson Sampling + StackedPareto weight fusion, with a full evaluation pipeline (5-fold CV, bootstrap CIs, stress tests) on 5,000 simulated users and 100k interactions. Competition entry for the QwenPaw AI Developer Challenge.
TranslatedVRS Application Recommendation System (志愿 "zhiyuan", college application choices): FastAPI + Neo4j + DeepSeek, with Zhejiang gaokao (college entrance exam) historical data as an example, including Excel data templates.