AI powered open source recommender system engine supports classical/LLM rankers and multimodal content via embedding
- recommender-system
- collaborative-filtering
- go
- knn
Repository Index
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Officially maintained, supported by PaddlePaddle, including CV, NLP, Speech, Rec, TS, big models and so on.
- paddlepaddle
- deep-learning
- neural-network
- computer-vision
Intelligent faculty outreach and research matching for prospective graduate applicants
- developer-portfolio
- github-profile
- profile-readme
- software-engineering
Web interface for browsing, search and filtering recent arxiv submissions
A unified, comprehensive and efficient recommendation library
- recommender-systems
- collaborative-filtering
- knowledge-graph
- ctr-prediction
Recommendation Algorithm大规模推荐算法库，包含推荐系统经典及最新算法LR、Wide&Deep、DSSM、TDM、MIND、Word2Vec、Bert4Rec、DeepWalk、SSR、AITM，DSIN，SIGN，IPREC、GRU4Rec、Youtube_dnn、NCF、GNN、FM、FFM、DeepFM、DCN、DIN、DIEN、DLRM、MMOE、PLE、ESMM、ESCMM, MAML、xDeepFM、DeepFEFM、NFM、AFM、RALM、DMR、GateNet、NAML、DIFM、Deep Crossing、PNN、BST、AutoInt、FGCNN、FLEN、Fibinet、ListWise、DeepRec、ENSFM，TiSAS，AutoFIS等，包含经典推荐系统数据集criteo 、movielens等
- ple
- deepfm
- mmoe
- word2vec
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）
Deep recommender models using PyTorch.
- recommender-system
- deep-learning
- learning-to-rank
- python
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.
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.
- dssm
- youtubednn
- mind
- collaborative-filtering
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
- tensorflow-recommenders
- tensorflow
- recommender
- recommender-system
Repository hosting code for "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152).
- actions-speak-louder-than-words
- recommendations
- recsys
- generative-recommenders
arxiv-sanity lite: tag arxiv papers of interest get recommendations of similar papers in a nice UI using SVMs over tfidf feature vectors based on paper abstracts.
Generate recommendations using collaborative filtering
Automated music downloader and manager integrating Slskd and Beets.
Music discovery tool that provides recommendations based on selected Lidarr artists, using Spotify or LastFM.
A C library for product recommendations/suggestions using collaborative filtering (CF)
- collaborative-filtering
- c
- machine-learning
- recommendation-engine
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.