PyTorch(1.6+) implementation of https://github.com/kang205/SASRec
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Updated
Jun 17, 2025 - TeX
PyTorch(1.6+) implementation of https://github.com/kang205/SASRec
Several sequential recommended models implemented by tenosrflow1.x
⚡️ Implementation of TRON: Transformer Recommender using Optimized Negative-sampling, accepted at ACM RecSys 2023.
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.
common used Recommend Baseline Model, including the traditional statistical model, and the Nerual Network Model. Focus on the SRS (Sequential Recommend System).
An easy and efficient tool to build sequential recommendation system utilizing SASRec
Minor project
A fully implemented AI Template Kit for building, understanding, and deploying real-world recommendation systems. Covers collaborative filtering, matrix factorization, content-based models, deep learning approaches. Includes ready-to-use code, service deployment logic, evaluation workflows, and step-by-step explanations.
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