Topic: recommender-systems Goto Github
Some thing interesting about recommender-systems
Some thing interesting about recommender-systems
recommender-systems,⚡️A Blazing-Fast Python Library for Ranking Evaluation, Comparison, and Fusion 🐍
User: amenra
Home Page: https://amenra.github.io/ranx
recommender-systems,Deep Learning Computer Vision Algorithms for Real-World Use
User: ankonzoid
recommender-systems,Learn about Machine Learning and Artificial Intelligence
User: brylevkirill
recommender-systems,Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems
Organization: caserec
recommender-systems,This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)
Organization: caserec
recommender-systems,精选机器学习,NLP,图像识别, 深度学习等人工智能领域学习资料,搜索,推荐,广告系统架构及算法技术资料整理。算法大牛笔记汇总
User: cbamls
Home Page: https://www.6aiq.com
recommender-systems,This Repository includes recent papers (RecSys, SIGIR, WWW, etc.) related to the Recommender Systems
User: ceo21ckim
recommender-systems,An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
User: cheungdaven
recommender-systems,Survey: A collection of AWESOME papers and resources on the large language model (LLM) related recommender system topics.
User: chiangel
recommender-systems,CORE is a plug-and-play conversational agent for any recommender system.
Organization: core-labet
Home Page: https://jinjiarui.github.io/core/
recommender-systems,[AAAI 2019] Source code and datasets for "Session-based Recommendation with Graph Neural Networks"
Organization: cripac-dig
recommender-systems,Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.
User: curiousily
Home Page: https://www.mlexpert.io/bootcamp
recommender-systems,Variational autoencoders for collaborative filtering
User: dawenl
recommender-systems,A recommender system built for book lovers.
User: dorukkilitcioglu
Home Page: https://books2rec.me
recommender-systems,matrix factorization in PyTorch
User: ethanrosenthal
Home Page: https://www.ethanrosenthal.com/2017/06/20/matrix-factorization-in-pytorch/
recommender-systems,Repository hosting code used to reproduce results in "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152).
Organization: facebookresearch
recommender-systems,A curated list of awesome resources about Recommender Systems.
User: gaolinjie
recommender-systems,LibRec: A Leading Java Library for Recommender Systems, see
User: guoguibing
Home Page: https://www.librec.net/
recommender-systems,Must-read Papers for Recommender Systems (RS)
User: hegongshan
recommender-systems,[WWW'2024] "RLMRec: Representation Learning with Large Language Models for Recommendation"
User: hkuds
Home Page: https://arxiv.org/abs/2310.15950
recommender-systems,[WSDM'2024 Oral] "SSLRec: A Self-Supervised Learning Framework for Recommendation"
User: hkuds
Home Page: https://arxiv.org/abs/2308.05697
recommender-systems,A tensorflow implementation of DKN (Deep Knowledge-aware Network for News Recommendation)
User: hwwang55
recommender-systems,A tensorflow implementation of Knowledge Graph Convolutional Networks
User: hwwang55
recommender-systems,A tensorflow implementation of Knowledge-aware Graph Neural Networks with Label Smoothness regularization
User: hwwang55
recommender-systems,A tensorflow implementation of MKR (Multi-task Learning for Knowledge Graph Enhanced Recommendation)
User: hwwang55
recommender-systems,A tensorflow implementation of RippleNet
User: hwwang55
recommender-systems,🍃 Recommender System in JavaScript for the MovieLens Database
Organization: javascript-machine-learning
Home Page: https://bri.im
recommender-systems,Personalized Fashion Recommendation and Generation
User: kang205
recommender-systems,PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models
User: khanhnamle1994
recommender-systems,4 different recommendation engines for the MovieLens dataset.
User: khanhnamle1994
Home Page: https://grouplens.org/datasets/movielens/
recommender-systems,Deep recommender systems for Rust
User: maciejkula
recommender-systems,Recommender Systems Paperlist that I am interested in
User: mengfeizhang820
recommender-systems,Repository for the tutorial on Sequence-Aware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018
User: mquad
recommender-systems,The merlin dataloader lets you rapidly load tabular data for training deep leaning models with TensorFlow, PyTorch or JAX
Organization: nvidia-merlin
recommender-systems,State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Organization: nvidia
recommender-systems,A tutorial series by Preferred.AI
Organization: preferredai
Home Page: https://preferred.ai
recommender-systems,2022 Coursera Machine Learning Specialization Optional Labs and Programming Assignments
User: quocviethere
recommender-systems,Java 8 Recommender Systems framework for novelty, diversity and much more
Organization: ranksys
Home Page: http://ranksys.github.io
recommender-systems,A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io
Organization: reczoo
recommender-systems,推荐系统修炼手册
Organization: reczoo
recommender-systems,Source code for KDD 2020 paper "Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation"
User: rootlu
recommender-systems,A unified, comprehensive and efficient recommendation library
Organization: rucaibox
Home Page: https://recbole.io/
recommender-systems,推荐系统入门指南,全面介绍了工业级推荐系统的理论知识(王树森推荐系统公开课-基于小红书的场景讲解工业界真实的推荐系统),如何基于TensorFlow2训练模型,如何实现高性能、高并发、高可用的Golang推理微服务。Comprehensively introduced the theory of industrial recommender system, how to trainning models based on TensorFlow2, how to implement the high-performance、high-concurrency and high-available inference services base on Golang.
User: solidglue
recommender-systems,Learning to Rank in TensorFlow
Organization: tensorflow
recommender-systems,Towards Knowledge-Based Recommender Dialog System @ EMNLP 2019
Organization: thudm
recommender-systems,Graph Neural Networks for Social Recommendation, WWW'19
User: wenqifan03
Home Page: https://wenqifan03.github.io
recommender-systems,Next RecSys Library
User: wubinzzu
recommender-systems,pytorch version of neural collaborative filtering
User: yihong-chen
recommender-systems,recommender system library for the CLR (.NET)
User: zenogantner
Home Page: http://mymedialite.net
recommender-systems,Ten thousand books, six million ratings
User: zygmuntz
Home Page: http://fastml.com/goodbooks-10k
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