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GitHub Open Source Repositories

Search: SASRec

Page 1

Showing 10 results from 14

S

kang205/SASRec

GitHub Python Apache License 2.0

SASRec: Self-Attentive Sequential Recommendation

โ˜… 983 Forks 187 kang205 Updated 13 Jun 2026
S

pmixer/SASRec.pytorch

GitHub TeX Apache License 2.0

PyTorch(1.6+) implementation of https://github.com/kang205/SASRec

โ˜… 603 Forks 132 pmixer Updated 12 Jun 2026
T

JiachengLi1995/TiSASRec

GitHub Python

TensorFlow implementation for paper Time Interval Aware Self-Attention for Sequential Recommendation.

โ˜… 136 Forks 27 JiachengLi1995 Updated 12 May 2026
S

slientGe/Sequential_Recommendation_Tensorflow

GitHub Python

Several sequential recommended models implemented by tenosrflow1.x

โ˜… 119 Forks 24 slientGe Updated 08 Apr 2026
T

pmixer/TiSASRec.pytorch

GitHub Python

https://github.com/JiachengLi1995/TiSASRec in PyTorch

โ˜… 107 Forks 18 pmixer Updated 16 Apr 2026
T

otto-de/TRON

GitHub Python MIT License

โšก๏ธ Implementation of TRON: Transformer Recommender using Optimized Negative-sampling, accepted at ACM RecSys 2023.

โ˜… 75 Forks 6 otto-de Updated 19 Mar 2026
T

glb400/Toy-RecLM

GitHub Python MIT License

A toy large model for recommender system based on LLaMA2/SASRec/Meta's generative recommenders. Besides, note and experiments of official implementation for Meta's generative recommenders.

โ˜… 70 Forks 7 glb400 Updated 12 May 2026
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antklen/sasrec-bert4rec-recsys23

GitHub Jupyter Notebook

Code for ACM RecSys 2023 paper "Turning Dross Into Gold Loss: Is BERT4Rec really better than SASRec?"

โ˜… 61 Forks 15 antklen Updated 11 May 2026
G

asash/gSASRec-pytorch

GitHub Python Apache License 2.0

No description available from source.

โ˜… 59 Forks 7 asash Updated 20 Apr 2026
S

AIRI-Institute/Scalable-SASRec

GitHub Python MIT License

This repository contains code for the paper "Scalable Cross-Entropy Loss for Sequential Recommendations with Large Item Catalogs", RecSys '24

โ˜… 37 Forks 5 AIRI-Institute Updated 07 May 2026
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10 results on this page ยท 14 total found

Showing first 14 accessible GitHub results.