Source code for Twitter's Recommendation Algorithm
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Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
- ctr
- click-through-rate
- deep-learning
- factorization-machines
Officially maintained, supported by PaddlePaddle, including CV, NLP, Speech, Rec, TS, big models and so on.
- paddlepaddle
- deep-learning
- neural-network
- computer-vision
A Python scikit for building and analyzing recommender systems
- recommender
- systems
- recommendation
- svd
Recommend new arxiv papers of your interest daily according to your Zotero libarary.
- arxiv
- automation
- github-action
Web interface for browsing, search and filtering recent arxiv submissions
A Python implementation of LightFM, a hybrid recommendation algorithm.
- machine-learning
- recommender
- python
- matrix-factorization
Ecommerce Search and Discovery - marqo.ai
- multi-modal
- search-engine
- machine-learning
- ecommerce
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
An implementation of a deep learning recommendation model (DLRM)
Fast Python Collaborative Filtering for Implicit Feedback Datasets
- collaborative-filtering
- machine-learning
- matrix-factorization
- recommender-system
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）
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
- deepctr
- ctr-models
- deep-learning
- deepctr-pytorch
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 Learning Recommender System
Pytorch domain library for recommendation systems
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
A framework for large scale recommendation algorithms.
- recommendation-algorithms
- recommender-system
- dssm
- esmm
该仓库尝试整理推荐系统领域的一些经典算法模型
Tensorflow implementation of DeepFM for CTR prediction.
- factorization-machine
- deepfm
- ctr-prediction
- deep-ctr
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