Topic: recommendation-system Goto Github
Some thing interesting about recommendation-system
Some thing interesting about recommendation-system
recommendation-system,深度学习面试宝典(含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向)
User: amusi
recommendation-system,Paper List for Recommend-system PreTrained Models
User: archersama
recommendation-system,Reinforced Recommendation toolkit built around pytorch 1.7
User: awarebayes
recommendation-system,Fast Python Collaborative Filtering for Implicit Feedback Datasets
User: benfred
Home Page: https://benfred.github.io/implicit/
recommendation-system,Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems
Organization: caserec
recommendation-system,An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
User: cheungdaven
recommendation-system,深度学习在推荐系统中的应用及论文小结。
User: chocoluffy
recommendation-system,recommendation system with python
User: chyikwei
recommendation-system,Code for reco-gym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising
Organization: criteo-research
recommendation-system,This repository contains some datasets that I have collected in Recommender Systems.
User: daicoolb
recommendation-system,RecDB is a recommendation engine built entirely inside PostgreSQL
Organization: datasystemslab
recommendation-system,A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.
Organization: datawhalechina
recommendation-system,Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems
User: gabrielspmoreira
recommendation-system,[推荐系统] Based on the scoring data set, the recommendation system is built with FM and LR as the core(基于评分数据集,构建以FM和LR为核心的推荐系统).
User: gavinhacker
Home Page: http://www.technologyx.cn
recommendation-system, Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
User: greyhatguy007
recommendation-system,[WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"
User: hkuds
Home Page: https://arxiv.org/abs/2311.00423
recommendation-system,推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction
User: imsheridan
recommendation-system,Pytorch implementation of BERT4Rec and Netflix VAE.
User: jaywonchung
recommendation-system,A TensorFlow recommendation algorithm and framework in Python.
User: jfkirk
recommendation-system,Graph Neural Network
User: jhy1993
recommendation-system,An Attention-Based User Behavior Modeling Framework for Recommendation
User: jinze1994
recommendation-system,Applying Data Science and Machine Learning to Solve Real World Business Problems
User: kevinliao159
recommendation-system,A content-based recommender system that recommends movies similar to the movie the user likes and analyses the sentiments of the reviews given by the user
User: kishan0725
Home Page: https://tmc.kishanlal.dev
recommendation-system,Deep Recommenders
Organization: longmaoteamtf
recommendation-system,This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.
User: mauriziofd
recommendation-system,code samples for the goodreads datasets
User: mengtingwan
Home Page: https://mengtingwan.github.io/data/goodreads.html
recommendation-system,计算广告/推荐系统/机器学习(Machine Learning)/点击率(CTR)/转化率(CVR)预估/点击率预估
User: mjackie
recommendation-system,RecTools - library to build Recommendation Systems easier and faster than ever before
Organization: mobiletelesystems
recommendation-system,HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training
Organization: nvidia-merlin
recommendation-system,NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature engineering and preprocessing to training deep learning models and running inference in production.
Organization: nvidia-merlin
recommendation-system,Merlin Models is a collection of deep learning recommender system model reference implementations
Organization: nvidia-merlin
Home Page: https://nvidia-merlin.github.io/models/main/index.html
recommendation-system,NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.
Organization: nvidia-merlin
recommendation-system,OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
Organization: openvinotoolkit
Home Page: https://docs.openvino.ai
recommendation-system,🛍 A real-world e-commerce dataset for session-based recommender systems research.
Organization: otto-de
Home Page: https://www.kaggle.com/datasets/otto/recsys-dataset
recommendation-system,Collection of Artificial Intelligence projects.
User: pierpaolo28
Home Page: https://pierpaolo28.github.io/work.html
recommendation-system,A Comparative Framework for Multimodal Recommender Systems
Organization: preferredai
Home Page: https://cornac.preferred.ai
recommendation-system,Pytorch domain library for recommendation systems
Organization: pytorch
recommendation-system,项亮的《推荐系统实践》的代码实现
User: qcymkxyc
recommendation-system,😎 A curated list of awesome practical Metric Learning and its applications
Organization: qdrant
Home Page: https://qdrant.tech
recommendation-system,Best Practices on Recommendation Systems
Organization: recommenders-team
Home Page: https://recommenders-team.github.io/recommenders/intro.html
recommendation-system,A unified, comprehensive and efficient recommendation library
Organization: rucaibox
Home Page: https://recbole.io/
recommendation-system,推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.
User: tangxyw
Home Page: https://tangxyw.github.io/
recommendation-system,Learning materials, Quizzes & Assignment solutions for the entire IBM data science professional certification. Also included, a few resources that I found helpful.
User: thomas-george-t
recommendation-system,AI-related tutorials. Access any of them for free → https://towardsai.net/editorial
Organization: towardsai
Home Page: https://towardsai.net/editorial
recommendation-system,An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)
Organization: tsinghua-fib-lab
recommendation-system,Paper List of Pre-trained Foundation Recommender Models
Organization: westlake-repl
recommendation-system,Book recommender system using collaborative filtering based on Spark
User: xuefenghuang
recommendation-system,A list of interesting graph neural networks (GNN) links with a primary interest in recommendations and tensorflow that is continually updated and refined
User: yazdotai
Home Page: https://github.com/yazdotai/graph-networks
recommendation-system,OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms
User: ylongqi
Home Page: http://www.openrec.ai
recommendation-system,基于tensorflow的个性化电影推荐系统实战(有前端)
User: zainzhao
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