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22 search results found
Transformers4rec
⭐
974
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
Torch Rechub
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285
A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.
Rexmex
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269
A general purpose recommender metrics library for fair evaluation.
Lkpy
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249
Python recommendation toolkit
Recsys Dataset
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244
🛍 A real-world e-commerce dataset for session-based recommender systems research.
Rectools
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227
RecTools - library to build Recommendation Systems easier and faster than ever before
Models
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224
Merlin Models is a collection of deep learning recommender system model reference implementations
Recs At Resonable Scale
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166
Recommendations at "Reasonable Scale": joining dataOps with recSys through dbt, Merlin and Metaflow
A Recsys
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98
A Tensorflow based implicit recommender system
Final Project Level3 Recsys 01
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81
🍁 AI를 활용한 메이플스토리 코디 추천 서비스👚👕
Replay
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53
RecSys Library
Spotify_recsys_challenge_2018
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49
2018 Spotify ACM RecSys Challenge 2'nd Place Solution
Recsys_pytorch
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48
PyTorch implementations of Top-N recommendation, collaborative filtering recommenders.
Tron
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33
⚡️ Implementation of TRON: Transformer Recommender using Optimized Negative-sampling, accepted at ACM RecSys 2023.
Recsys Tutorial
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30
Tutorials and examples of various recommender systems in industrial applications
Explanation Quality Recsys
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23
Post Processing Explanations Paths in Path Reasoning Recommender Systems with Knowledge Graphs
Nce Loss
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18
Tensorflow NCE loss in Keras
Fairrecsys
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14
Experiments on Generalizability of User-Oriented Fairness in Recommender Systems (SIGIR 2022)
Cfecbf
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7
This repository contains the core model we called "Collaborative filtering enhanced Content-based Filtering" published in our UMUAI article "Movie Genome: Alleviating New Item Cold Start in Movie Recommendation"
Dmlab_torch_tutorial
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7
Pytorch Tutorial for DM Lab
Ganmf
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7
This is the repository for our paper "GAN-based Matrix Factorization for Recommender Systems" accepted at ACM/SIGAPP Symposium on Applied Computing (SAC '22).
Ghrs
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6
GHRS: Graph-based hybrid recommendation system with application to movie recommendation
Fair
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5
Framework For Analyses in Recommender Systems
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