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Search results for python recommendation
python
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recommendation
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833 search results found
Recommenders
⭐
16,387
Best Practices on Recommendation Systems
Models
⭐
6,819
Officially maintained, supported by PaddlePaddle, including CV, NLP, Speech, Rec, TS, big models and so on.
Lightfm
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4,407
A Python implementation of LightFM, a hybrid recommendation algorithm.
Paddlerec
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3,903
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、T MAML、xDeepFM、DeepFEFM、NFM、AFM、RALM、DMR、GateNet、NAM Crossing、PNN、BST、AutoInt、FGCNN、FLEN、Fibinet、ListWi 、movielens等
Dlrm
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3,421
An implementation of a deep learning recommendation model (DLRM)
Implicit
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3,269
Fast Python Collaborative Filtering for Implicit Feedback Datasets
Recbole
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2,842
A unified, comprehensive and efficient recommendation library
Spotlight
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2,809
Deep recommender models using PyTorch.
Deep Learning For Recommendation Systems
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2,141
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
Stethoscope
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2,001
Personalized, user-focused recommendations for employee information security.
Deepmatch
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1,906
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.
Reco Papers
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1,753
Classic papers and resources on recommendation
Seldon Server
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1,420
Machine Learning Platform and Recommendation Engine built on Kubernetes
Tensorrec
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1,180
A TensorFlow recommendation algorithm and framework in Python.
Awesome Deep Learning Papers For Search Recommendation Advertising
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1,100
Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.
Crab
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1,088
Crab is a flexible, fast recommender engine for Python that integrates classic information filtering recommendation algorithms in the world of scientific Python packages (numpy, scipy, matplotlib).
Deeprec
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1,068
An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
Tf Recomm
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882
Tensorflow-based Recommendation systems
Neurec
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861
Next RecSys Library
Dex
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724
Index and query analyzer for MongoDB: compares MongoDB log files and index entries to make index recommendations
Gru4rec
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717
GRU4Rec is the original Theano implementation of the algorithm in "Session-based Recommendations with Recurrent Neural Networks" paper, published at ICLR 2016 and its follow-up "Recurrent Neural Networks with Top-k Gains for Session-based Recommendations". The code is optimized for execution on the GPU.
Sr Gnn
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607
[AAAI 2019] Source code and datasets for "Session-based Recommendation with Graph Neural Networks"
Elasticsearch Spark Recommender
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603
Use Jupyter Notebooks to demonstrate how to build a Recommender with Apache Spark & Elasticsearch
Rsalgorithms
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515
Some algorithms about traditional and social recommendation.
Content Engine
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506
A very simple content-based recommendation engine. Great for learning, but also ready for real-world use.
Recommendersystems
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471
Knowledge_graph_attention_network
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434
KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019
Rechorus
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434
“Chorus” of recommendation models: a light and flexible PyTorch framework for Top-K recommendation.
Crslab
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397
CRSLab is an open-source toolkit for building Conversational Recommender System (CRS).
Deep Ctr Prediction
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389
CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)
Jstarcraft Rns
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368
专注于解决推荐领域与搜索领域的两个核心问题:排序预测(Ranking)和评分预测(Rating). 为相关领域的研发人员提供完整的通用设计与参考实现. 涵盖了70多种排序预测与评分预测算法,是最快最全的Java推荐与搜索引擎.
Caserecommender
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367
Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems
Neural_graph_collaborative_filtering
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339
Neural Graph Collaborative Filtering, SIGIR2019
Flask Skeleton
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334
A skeleton for Flask applications
Openrec
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316
OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms
Recnn
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313
Reinforced Recommendation toolkit build around pytorch 1.7
Sasrec
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311
SASRec: Self-Attentive Sequential Recommendation
Keras Recommendation
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309
Using Keras to implement recommender systems
Reuse Tool
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302
reuse is a tool for compliance with the REUSE recommendations.
Atrank
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297
An Attention-Based User Behavior Modeling Framework for Recommendation
Deep Learning Tinder
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254
Simple Tinder algorithm able to swipe left and right based on the recommendations of a pre-trained deep neural network (Machine Learning).
Librecommender
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248
Versatile End-to-End Recommender System
Recsys Dataset
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244
🛍 A real-world e-commerce dataset for session-based recommender systems research.
Lkpy
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244
Python recommendation toolkit
Spark Recommendation Engine
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222
Hgvs
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218
Python library to parse, format, validate, normalize, and map sequence variants. `pip install hgvs`
Elliot
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215
Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
Hands On Recommendation Systems With Python
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205
Hands-On Recommendation Systems with Python published by Packt
Pgpr
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194
Reinforcement Knowledge Graph Reasoning for Explainable Recommendation
Recommendationsystem
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190
Book recommender system using collaborative filtering based on Spark
Session Rec
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177
Python-based framework for building and evaluating session-based and session-aware recommender systems.
Collaborativememorynetwork
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174
Collaborative Memory Network for Recommendation Systems, SIGIR 2018
Sigir2020_peterrec
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170
Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation
Bine
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169
BiNE: Bipartite Network Embedding
Gru4rec_tensorflow
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169
TensorFlow implemenation of GRu4Rec model
Letterboxd_recommendations
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168
Scraping publicly-accessible Letterboxd data and creating a movie recommendation model with it that can generate recommendations when provided with a Letterboxd username
Tensorflow_practice
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168
推荐系统/计算广告相关仓库,个人博客https://jesse-csj.github.io/
Comirec
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166
Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"
Playlist To Vec
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165
An artist recommendation engine, from feeding Spotify playlists through word2vec
Adversarial_personalized_ranking
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163
Adversarial Learning, Matrix Factorization, Recommendation
Spotify Recommendation Engine
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161
Music Recommender System
Kgat Pytorch
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156
Beta Recsys
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152
Beta-RecSys: Build, Evaluate and Tune Automated Recommender Systems
Rankfm
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150
Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data
Entity2rec
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149
entity2rec generates item recommendation using property-specific knowledge graph embeddings
Recotour
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147
A tour through recommendation algorithms in python [IN PROGRESS]
Fashion Recommendation
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146
A clothing retrieval and visual recommendation model for fashion images.
Diffnet
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143
Graph Neural Network based Social Recommendation Model. SIGIR2019.
Caser_pytorch
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141
A PyTorch implementation of Convolutional Sequence Embedding Recommendation Model (Caser)
Graphrec_pytorch
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137
A PyTorch implementation of Graph Neural Networks for Social Recommendation (GraphRec)
Prediction Flow
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136
Deep-Learning based CTR models implemented by PyTorch
Dhcn
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133
Codes for AAAI'21 paper 'Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation'
Mmgcn
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132
MMGCN: Multi-modal Graph Convolution Network forPersonalized Recommendation of Micro-video
Multitask Recommendation Library
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132
MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.
Graphrec Www19
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131
Graph Neural Networks for Social Recommendation, WWW'19
Kdd2018_mpcn
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131
Code for our KDD 2018 Paper "Multi-Pointer Co-Attention Networks for Recommendation"
Word2vec Recommender
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128
Recommendation engine based on contextual word embeddings
Dvbpr
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128
Personalized Fashion Recommendation and Generation
Kitabe
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127
Book Recommendation System built for Book Lovers📖. Simply Rate ⭐ some books and get immediate recommendations🤩
Herec
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127
Source code for TKDE 2018 "Heterogeneous information network embedding for recommendation"
Joint Kg Recommender
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127
Neu Review Rec
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126
A Toolkit for Neural Review-based Recommendation models with Pytorch.
Tensorflow Recommendation Wals
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126
An end-to-end solution for website article recommendations based on Google Analytics data. Uses WALS matrix-factorization in TensorFlow, trained on Cloud ML Engine. Recommendations served with App Engine Flex and Cloud Endpoints. Orchestration is performed using Airflow on Cloud Composer. See the solution tutorials at:
Bert4rec
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125
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer
Recommender_system_with_python
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124
recommender system tutorial with Python
Crab
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121
Crab is a flexible, fast recommender engine for Python that integrates classic information filtering recommendation algorithms in the world of scientific Python packages (python, numpy, scipy, matplotlib)
Wave Apps
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121
Sample AI Apps built with H2O Wave.
Recommendation_model
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116
练习下用pytorch来复现下经典的推荐系统模型, 如MF, FM, DeepConn, MMOE, PLE, DeepFM, NFM, DCN, AFM, AutoInt, ONN, FiBiNET, DCN-v2, AFN, DCAP等
Spark Knn Recommender
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113
Item and User-based KNN recommendation algorithms using PySpark
Enmf
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109
This is our implementation of ENMF: Efficient Neural Matrix Factorization (TOIS. 38, 2020). This also provides a fair evaluation of existing state-of-the-art recommendation models.
Yelper_recommendation_system
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108
Yelper recommendation system
Convncf
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107
Experimental codes for paper "Outer Product-based Neural Collaborative Filtering".
Core
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107
CORE is a plug-and-play conversational agent for any recommender system.
Rectorch
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104
rectorch is a pytorch-based framework for state-of-the-art top-N recommendation
Wsdm2022 Ptupcdr
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103
This is the official implementation of our paper Personalized Transfer of User Preferences for Cross-domain Recommendation (PTUPCDR), which has been accepted by WSDM2022.
Lr Gccf
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103
Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach, AAAI2020
Flurs
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100
🌊 FluRS: A Python library for streaming recommendation algorithms
Neural Attentive Item Similarity Model
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100
TensorFlow Implementation of Neural Attentive Item Similarity Model for Recommendation on TKDE 2018
A Recsys
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98
A Tensorflow based implicit recommender system
Stamp
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97
Code for the KDD 2018 paper: STAMP: Short-Term Attention/Memory Priority Model for Session-based Recommendation
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